The present disclosure relates to methods for the more efficient utilisation of reconfigurable intelligent surfaces (RIS) in wireless communications systems.
The present application claims the Paris Convention priority from European patent application number EP22162755.7, filed on 17 Mar. 2022, the contents of which are hereby incorporated by reference.
The “background” description provided herein is for the purpose of generally presenting the context of the disclosure. Work of the presently named inventors, to the extent it is described in this background section, as well as aspects of the description which may not otherwise qualify as prior art at the time of filing, are neither expressly nor impliedly admitted as prior art against the present invention.
Previous generation mobile telecommunication systems, such as those based on the 3GPP defined UMTS and Long Term Evolution (LTE) architecture, are able to support a wider range of services than simple voice and messaging services offered by previous generations of mobile telecommunication systems. For example, with the improved radio interface and enhanced data rates provided by LTE systems, a user is able to enjoy high data rate applications such as mobile video streaming and mobile video conferencing that would previously only have been available via a fixed line data connection. The demand to deploy such networks is therefore strong and the coverage area of these networks, i.e. geographic locations where access to the networks is possible, is expected to continue to increase rapidly.
Current and future wireless communications networks are expected to routinely and efficiently support communications with an ever-increasing range of devices associated with a wider range of data traffic profiles and types than existing systems are optimised to support. For example, it is expected future wireless communications networks will be expected to efficiently support communications with devices including reduced complexity devices, machine type communication (MTC) devices, high resolution video displays, virtual reality headsets, extended Reality (XR) and so on. Some of these different types of devices may be deployed in very large numbers, for example low complexity devices for supporting the “The Internet of Things”, and may typically be associated with the transmissions of relatively small amounts of data with relatively high latency tolerance. Other types of device, for example supporting high-definition video streaming, may be associated with transmissions of relatively large amounts of data with relatively low latency tolerance. Other types of device, for example used for autonomous vehicle communications and for other critical applications, may be characterised by data that should be transmitted through the network with low latency and high reliability. A single device type might also be associated with different traffic profiles/characteristics depending on the application(s) it is running. For example, different consideration may apply for efficiently supporting data exchange with a smartphone when it is running a video streaming application (high downlink data) as compared to when it is running an Internet browsing application (sporadic uplink and downlink data) or being used for voice communications by an emergency responder in an emergency scenario (data subject to stringent reliability and latency requirements).
In view of this there is expected to be a desire for current future wireless communications networks, for example those which may be referred to as 5G or new radio (NR) systems/new radio access technology (RAT) systems or indeed future 6G wireless communications, as well as future iterations/releases of existing systems, to efficiently support connectivity for a wide range of devices associated with different applications and different characteristic data traffic profiles and requirements.
One example of a new service is referred to as Ultra Reliable Low Latency Communications (URLLC) services which, as its name suggests, requires that a data unit or packet be communicated with a high reliability and with a low communications delay. URLLC type services therefore represent a challenging example for both LTE type communications systems and 5G/NR communications systems, as well as future generation communications systems.
The increasing use of different types of network infrastructure equipment, such as base stations and relay nodes/repeater devices, and terminal devices associated with different traffic profiles, as well as the consideration of deployment strategies for such network infrastructure equipment in various and varying environments, together give rise to new challenges for efficiently handling communications in wireless communications systems that need to be addressed.
The present disclosure can help address or mitigate at least some of the issues discussed above.
Embodiments of the present technique can provide a method of operating an infrastructure equipment forming part of a wireless communications network, the infrastructure equipment being configured to transmit signals to and/or to receive signals from a communications device and/or to transmit signals to and/or receive signals from a reconfigurable intelligent surface, RIS. The method comprises, during an operational phase, determining a signature value associated with the communications device, selecting, based on the signature value, one or more of a plurality of beams for the transmission of a signal between the infrastructure equipment and the communications device, each of the plurality of beams being associated with one of a plurality of possible signature values, wherein at least one of the plurality of beams is a direct beam between the infrastructure equipment and the communications device and at least one other of the plurality of beams is a beam between the communications device and the RIS, wherein each of the at least one of the plurality of beams between the communications device and the RIS are generated at the RIS through controlling, by the infrastructure equipment, a configuration the RIS, and transmitting the signal to or receiving the signal from the communications device via the one or more selected beams.
Embodiments of the present technique, which, in addition to methods of operating infrastructure equipment, relate to methods of operating communications devices, to infrastructure equipment, communications devices, circuitry for communications devices, and circuitry for infrastructure equipment, to reconfigurable intelligent surfaces (RIS) and to RIS controllers, to wireless communications systems, to computer programs, and to computer-readable storage mediums, can allow generally for the more efficient transmission and reception of data in wireless communications systems, and particularly for the more efficient transmission and reception of data in wireless communications systems in which RISs are deployed.
Respective aspects and features of the present disclosure are defined in the appended claims.
It is to be understood that both the foregoing general description and the following detailed description are exemplary, but are not restrictive, of the present technology. The described embodiments, together with further advantages, will be best understood by reference to the following detailed description taken in conjunction with the accompanying drawings.
A more complete appreciation of the disclosure and many of the attendant advantages thereof will be readily obtained as the same becomes better understood by reference to the following detailed description when considered in connection with the accompanying drawings wherein like reference numerals designate identical or corresponding parts throughout the several views, and wherein:
It will be appreciated that operational aspects of the telecommunications networks discussed herein which are not specifically described (for example in relation to specific communication protocols and physical channels for communicating between different elements) may be implemented in accordance with any known techniques, for example according to the relevant standards and known proposed modifications and additions to the relevant standards.
The network 6 includes a plurality of base stations 1 connected to a core network 2. Each base station provides a coverage area 3 (i.e. a cell) within which data can be communicated to and from communications devices 4. Although each base station 1 is shown in
Data is transmitted from base stations 1 to communications devices 4 within their respective coverage areas 3 via a radio downlink. Data is transmitted from communications devices 4 to the base stations 1 via a radio uplink. The core network 2 routes data to and from the communications devices 4 via the respective base stations 1 and provides functions such as authentication, mobility management, charging and so on. Terminal devices may also be referred to as mobile stations, user equipment (UE), user terminal, mobile radio, communications device, and so forth. Services provided by the core network 2 may include connectivity to the internet or to external telephony services. The core network 2 may further track the location of the communications devices 4 so that it can efficiently contact (i.e. page) the communications devices 4 for transmitting downlink data towards the communications devices 4.
Base stations, which are an example of network infrastructure equipment, may also be referred to as transceiver stations, nodeBs, e-nodeBs, eNB, g-nodeBs, gNB and so forth. In this regard different terminology is often associated with different generations of wireless telecommunications systems for elements providing broadly comparable functionality. However, certain embodiments of the disclosure may be equally implemented in different generations of wireless telecommunications systems, and for simplicity certain terminology may be used regardless of the underlying network architecture. That is to say, the use of a specific term in relation to certain example implementations is not intended to indicate these implementations are limited to a certain generation of network that may be most associated with that particular terminology.
An example configuration of a wireless communications network which uses some of the terminology proposed for and used in NR and 5G is shown in
The elements of the wireless access network shown in
The TRPs 10 of
In terms of broad top-level functionality, the core network 20 connected to the new RAT telecommunications system represented in
Depending on the application at hand the responsibility for scheduling transmissions which are scheduled on the radio interface between the respective distributed units and the communications devices may lie with the controlling node/central unit and/or the distributed units/TRPs. A communications device 14 is represented in
It will further be appreciated that
Thus, certain embodiments of the disclosure as discussed herein may be implemented in wireless telecommunication systems/networks according to various different architectures, such as the example architectures shown in
A more detailed diagram of some of the components of the network shown in
The transmitters 30, 49 and the receivers 32, 48 (as well as other transmitters, receivers and transceivers described in relation to examples and embodiments of the present disclosure) may include radio frequency filters and amplifiers as well as signal processing components and devices in order to transmit and receive radio signals in accordance for example with the 5G/NR standard. The controllers 34, 44 (as well as other controllers described in relation to examples and embodiments of the present disclosure) may be, for example, a microprocessor, a CPU, or a dedicated chipset, etc., configured to carry out instructions which are stored on a computer readable medium, such as a non-volatile memory. The processing steps described herein may be carried out by, for example, a microprocessor in conjunction with a random access memory, operating according to instructions stored on a computer readable medium. The transmitters, the receivers and the controllers are schematically shown in
As shown in
The interface 46 between the DU 42 and the CU 40 is known as the F1 interface which can be a physical or a logical interface. The F1 interface 46 between CU and DU may operate in accordance with specifications 3GPP TS 38.470 and 3GPP TS 38.473, and may be formed from a fibre optic or other wired or wireless high bandwidth connection. In one example the connection 16 from the TRP 10 to the DU 42 is via fibre optic. The connection between a TRP 10 and the core network 20 can be generally referred to as a backhaul, which comprises the interface 16 from the network interface 50 of the TRP 10 to the DU 42 and the F1 interface 46 from the DU 42 to the CU 40.
According to some radio access technologies, including NR radio access technologies as exemplified by
Typically, a gNB will perform beam-sweeping on different directions of a cell, as is shown in
While useful in a number of different scenarios, beamforming techniques such as those exemplified by
A RIS 61, an example of which is illustrated in
While the RIS 61 of
An example deployment of a RIS utilised to re-radiate a signal is shown in
The elements of the RIS 61 can be configured independently or in groups, as mentioned above. Effectively, this enables any desirable configuration of the elements to be utilised—for example, different elements or groups of elements re-radiating different transmissions/beams (if, for example, the RIS is large enough. Alternatively, all elements could have a slightly different but carefully selected phase shift such that all focus a beam on a precise common location (e.g. that of a UE 64 in a shadow area 65), or such that they focus a beam on a slightly wider area (with a slightly lower power) in order to provide greater coverage at that area.
A RIS can be deployed in a strategic location to provide coverage in known shadow areas such as shadow area 65 in the example of
A RIS is typically a passive device, in the sense that it does not itself have a transceiver and cannot therefore decode any received signals or encode any signals for transmission—instead it simply, for example, amplifies and/or phase-shifts incident signals. In order to perform dynamic beamforming, and as shown in the example of
In the example of
where NAWGN denotes white noise at the UE's 72 receiver. It can be observed that in addition to the precoding for the transmission in the signal X, the phase shifts required for a desired beam depends on the propagation channels HgNB-RIS and HRIS-UE. The RIS 71, as mentioned above, is a passive device that cannot perform channel estimation, and hence the propagation channels HgNB-RIS and HRIS-UE are not known to the gNB 72. It is therefore difficult for the gNB 72 to determine the required phase shifts Φ at the RIS 71 such that the transmission from the gNB 72 can be beamformed by the RIS 71 to the UE 74 (or to cause the reflection of a beam at the RIS 71 such that it then further propagates in the direction of the UE 74). Those skilled in the art would appreciate that, if the signal X is transmitted directly to the UE 74 by the gNB 72 (and is received as signal Y at the UE 74), then the term HgNB-RISΦHRIS-UE of equation [1] above would be 0 or close to 0. Likewise, if the signal X is transmitted by the gNB 72 to the RIS 71 where it is re-radiated to the UE 74 and received as signal Y, then the term HgNB-UE of equation [1] above would be 0 or close to 0. Those skilled in the art would further appreciate that the gNB 72 may try to transmit signal X to the UE 74 via multiple beams (e.g. directly and via the RIS 71, or via separate elements/groups of elements of the RIS 71) in order to increase the likelihood of successful reception of the received signal Y by the UE 74.
In [2], it is proposed that the UE's uplink transmission is performed over two subframes, where the first subframe consists of mostly pilots and the uplink data is transmitted in the second subframe. For the first subframe, the RIS uses a pre-designed or pre-determined set of phase shifts, which enables the gNB to estimate the propagation channels HgNB-RIS and HRIS-UE. The gNB can then determine the appropriate phase shifts Φ for the RIS to direct the beam that maximises the strength of the signal received at the gNB from the UE. It is observed in [2] that for effective channel estimations of HgNB-RIS and HRIS-UE, the number of symbols with pilots, i.e. the duration of the pilot, needs to be equal to the number of elements, which may not be practical for RISs with large numbers of elements. The complexity in channel estimation and pilot resources required are reduced in [2] by grouping the elements into sub-surfaces where each sub-surface consists of a plurality of adjacent elements which share the same phase shift. Here, a sub-surface is treated as a “bigger” element of the RIS. However, sub-surfaces which effectively reduce the flexibility in configuring the phase shifts Φ would also reduce the beamforming ability of the RIS. Furthermore, this method requires a new transmission scheme for the UE, where the UE's transmissions consist of multiple subframes with pilots prior to the data transmission, and so legacy UEs (which had not been deployed with this new transmission scheme) cannot benefit from the targeted beamforming of the RIS. Transmitting multiple subframes that mostly consist of pilots incurs high overheads, and also introduces latency which may not be suitable for low latency traffic for services such as URLLC.
Summarily, a technical problem that is required to be solved with respect to known solutions such as that described in [2] is how to determine the RIS parameters, such as the phase shifts Φ, for a DL or an UL transmission, without incurring high pilot overheads. Embodiments of the present disclosure seek to provide solutions to such a technical problem.
As shown in the example of
Where the RIS 81 does not comprise such a plurality of RIS elements as shown in the example of
As those skilled in the art would appreciate, such transmission 88 or reception 88 shown in
Essentially, embodiments of the present technique propose that a gNB is able to configure the RIS parameters for a RIS in a dynamic fashion, where the RIS parameters are determined from an association between a signature and a beam (referred to herein as a “signature-beam association”). The signature may describe (i.e. may be a representation of) the receiver's radio channel conditions, and the signature may be used as an input to the signature-beam association to determine the most appropriate beam that provides the best signal at the receiver dependent on that signature. The appropriate beam can be a direct beam from the gNB or UE to the other of the gNB and UE, or can be a beam between the RIS and the UE, that may be a reflection of a beam transmitted by the gNB. Determining such RIS parameters dynamically in this manner, for example as described with reference to the example of
Broadly speaking, the signature-beam association is constructed (thus, for example, forming a look-up table) via a training process (also referred to herein as the training phase) where measurements from multiple UE locations are performed to form one or more data sets. In each location, one or more signatures representing the radio conditions between the gNB and the UE are measured, and for each signature, the strongest beam (which can be from the RIS or can be a direct transmission from the gNB) is determined; i.e. a beam is paired with a signature, resulting in the construction of a data set consisting of multiple pairs of signatures and beams. This training process can be performed offline or during off-peak hours (e.g. middle of the night), and would ideally be performed only once, or at limited (periodic or aperiodic intervals). For example, if performance loss is observed by the network, or if there are any significant topology changes at locations between the UE and the gNB (e.g. a tree is chopped down, or a building is built), then the training process might be carried out again.
Once the training process is completed and a signature-beam association is formed, in the online operation (also referred to herein as the operational phase), the gNB either measures a signature or receives feedback of a signature measured by the UE, which represents the UE's radio conditions, and finds a match using the signature-beam association information to dynamically determine the most appropriate RIS parameters, e.g. phase shifts CD, to configure the RIS elements to use that would provide the best beam between the RIS and the UE (or indeed directly between gNB and UE) for the UE to receive signals from and/or to transmit signals to the gNB. Such determination of a signature (and therefore best beam) for a UE may be performed directly before transmission of data by or to that UE, so as to determine the best beam, but for reasonably static or UEs with limited mobility patterns, such signature (and therefore beam) determination may be performed further in advance of any data transmissions, for example when the UE enters a connected or inactive state for the first time with a particular gNB, or the UE moves into a particular shadow area within which a RIS is deployed. Such signature (and therefore beam) determination may also be performed in a periodic manner for such UEs.
The signature represents the radio propagation conditions between the UE and the gNB, which depends on the location of the UE. The signature is used during the training process, i.e. the offline phase, when performing measurements with respect to the potential beams in order to determine the best beam for use based on any particular signature. This signature is also used during the online/operational phase when user data is transmitted so as to select that best beam.
In some arrangements of embodiments of the present technique, the signature may be the channel estimation, such as the channel delay profile of the receiver. In other words, the signature value is a channel estimation of a communications channel between the infrastructure equipment and the communications device. For example:
Since channel estimation is part of the receiver's decoding process, the gNB and UE can each easily extract the channel delay profile without consuming significant resources for the transmission/reception of pilot or reference signals. The channel estimation can be obtained from existing RS, such as SRS, PRACH, CSI-RS, etc, and so legacy UEs—for which such RS are defined—can benefit from the signature-RIS beam association defined in accordance with embodiments of the present technique as well as newly-deployed UEs. The channel delay profile can then be used as input to the signature-RIS beam association to determine the strongest or most appropriate RIS beam or beams for DL and/or UL transmissions with the UE. Since channel estimation is performed at the physical layer, the gNB can obtain the signature very quickly, which is beneficial for a UE that is moving quickly.
In some other arrangements of embodiments of the present technique, the signature may be the signal strength, e.g. RSRP, of the serving gNB and its neighbouring cell(s). In other words, the signature value is the measured strength of one or more signals received by the communications device from the infrastructure equipment and/or measured strength of one or more signals received by the communications device from one or more other infrastructure equipment (i.e. neighbouring infrastructure equipment). The combination of different RSRPs may depend on the UE location relative to all its neighbouring cells and can therefore act as a signature that represents the UE's location and radio condition, where this signature can then be associated with a preferred beam. It should be noted that, while potentially advantageous in other respects, signal strength measurements such as RSRP are radio resource control (RRC)-level measurements, and the RRC measurement reports which carry them may have a slower update rate compared to using channel estimation.
In some such arrangements of embodiments of the present technique, the signature may be the signal strength of the neighbour cells relative to the serving cell. In other words, the signature value may be the measured strength of the one or more signals received by the communications device from the one or more other infrastructure equipment relative to the measured strength of the one or more signals received by the communications device from the infrastructure equipment. In an example, this can be the RSRP of each neighbour cell relative to the RSRP of the serving cell.
In other arrangements of embodiments of the present technique, the signature may be the signal strength, e.g. RSRP, of sidelink signals. In other words, the signature value may be the measured strength of one or more sidelink signals received by the communications device from one or more nodes of the wireless communications network. For example, some fixed transmitters transmit sidelink signals, such as roadside units (which may include traffic lights, pedestrian crossings etc).
In other arrangements of embodiments of the present technique, the signature may be the time of arrival (or time difference of arrival) of signals from the serving cell and neighbouring cells. In other words, the signature value may be associated with either: a time of arrival at the communications device of signals received by the communications device from the infrastructure equipment and/or signals received by the communications device from one or more other infrastructure equipment, or a difference between the time of arrival and a time of transmission of the signals by the infrastructure equipment and/or the signals by the one or more other infrastructure equipment. The signals for which the time difference of arrival is measured could include the SSB, positioning reference signals (PRS), CSI-RS or other reference signals. It should be noted that the set of time differences can be used as a signature even if the geographic location (as could be calculated by a location server according to arrangements such as those discussed in the following paragraph below) associated with those time differences is not known. The set of time differences of signals from multiple cells can be considered to form a unique signature. The time of arrival of such signals may be explicitly (or implicitly) indicated by the UE in signalling such as uplink control information (UCI)—in other words, the infrastructure equipment may be configured to receive, from the communications device, an indication of the time of arrival at the communications device of signals received by the communications device from the infrastructure equipment and/or signals received by the communications device from one or more other infrastructure equipment. Where the signature relates to the difference between the time of arrival and a time of transmission of the signals by the serving cell and/or the signals by the one or more neighbouring cells, while the gNB knows the time of transmission of its own signals to the UE, it may need to receive some sort of indication of such times of transmission of signals from the neighbouring cells to the UE. In other words, the infrastructure equipment may be configured to receive, from the one or more other infrastructure equipment, an indication of a time of transmission of the signals by the one or more other infrastructure equipment. However, the infrastructure equipment doesn't necessarily need to know the transmission timing from the other infrastructure equipment. Provided the transmission timing of the signals from the other infrastructure equipment doesn't change relative to the transmission timing of the infrastructure equipment in question, the reception timing of the signals used for time difference measurement (e.g. SSB, PRS etc) can be used as a signature.
In other arrangements of embodiments of the present technique, the signature may be the geographic location (e.g. latitude/longitude) of the UE. The geographic location can be obtained from the UE's internal global navigation satellite system (GNSS) receiver or by using a mobile assisted network positioning system such as Observed Time Difference Of Arrival (OTDOA). Positioning is typically not managed by the gNB but by a location server (which is located in the network separately from the gNB). That is, the geographic location would generally need to be sent to a location server, and then this information would be passed back to the gNB by the location server to be used as a signature. Hence, while potentially advantageous in other respects, using geographic location as a signature may have a slower update rate compared to signal strength measurements and channel estimation should this need to go via the location server. However, in some arrangements, the location information could be transmitted from the UE directly to the gNB, which would allow for its use as a signature to be used more advantageously than scenarios in which the location server acts as an intermediary.
In other arrangements of embodiments of the present technique, the signature may be a set of radiofrequency samples that are taken by the gNB or UE. In other words, the signature value may be a set of samples taken by the infrastructure equipment based on signals received by the infrastructure equipment from the communications device, or the signature value may be a set of samples taken by the communications device based on signals received by the communications device from the infrastructure equipment, and the infrastructure equipment may therefore be configured to receive, from the communications device, an indication of the set of samples. These samples can relate to a known signal or set of symbols that have been transmitted by one of the entities. For example, the UE can transmit an SRS signal and the gNB can take a set of analogue to digital conversion (ADC) samples of the received signal containing the SRS. This set of ADC samples can then be used as a signature that can be used for the signature-RIS beam association, since the sampled signal provides an indication of the location of the UE in the sense that it will be different for any given position at which the UE is located when the UE transmits or receives those SRS. It should be noted that channel estimation does not therefore need to be performed to derive the signature in such arrangements.
As mentioned above, the signature-beam association is essentially constructed via a training process (also referred to herein as the training phase) where measurements from multiple UE locations are performed to form one or more data sets. The training phase consists of two steps therefore; the data set collection, and the formation of the signature-beam association. In other words, the infrastructure equipment is configured to operate in accordance with a training phase prior to the operational phase, wherein the infrastructure equipment is configured, during the training phase, to determine the plurality of possible signature values of the communications channel between the infrastructure equipment and the communications device, to perform, for each of the plurality of signature values, measurements using each of the plurality of beams, and to create, based on the performed measurements, associations between the plurality of signature values and the plurality of beams.
The data set may be built by collecting measurements of signatures, such as channel estimations, RSRP measurements or GPS/geographic locations (as described above), and pairing those signatures with a beam (which may be one of the beams from the RIS or may be the direct gNB beam). This paired beam generally is the one that gives the strongest signal (where such a signal may be transmitted by either of the gNB or the UE), e.g. SNR. In other words, the infrastructure equipment is configured, for each of the plurality of signature values, to either transmit a signal to the communications device or to receive a signal from the communications device via each of the plurality of beams, and to determine a strength of either the received signal at the infrastructure equipment or the transmitted signal at the communications device.
The data set may be collected at multiple locations in the cell served by the gNB and the RIS. In other words, the infrastructure equipment may be configured to perform the training phase a plurality of times, wherein, during each of the times the training phase is performed, the communications device has a different geographic location.
These pairs of signatures (e.g. channel estimation) and strongest beam measurements form the data set used to construct an algorithm to enable the signature-RIS beam association. In other words, the infrastructure equipment is configured to determine, for each of the plurality of signature values, the beam of the plurality of beams for which the transmitted/received signal has the highest strength, wherein the association is created between that signature value and the beam for which the transmitted/received signal has the highest strength for that signature value.
In the example of
Here, considering it is expected that signatures will typically (though not always) be unique for each location, if the gNB produces a signature that it has logged before, it will assume it already has knowledge of the best beam for a particular location (i.e. the beam associated with that already-logged signature). In such a case, the gNB will only need to transmit DL signals using its direct beam and RIS beams to the UE so as to determine the best beam when it derives a signature that it has not logged before. In other words, the infrastructure equipment may be configured to carry out the steps of performing, for each of the plurality of signature values, measurements using each of the plurality of beams, and the creating, based on the performed measurements, associations between the plurality of signature values and the plurality of beams, only when a determined signature value is determined by the infrastructure equipment to be different to any previously determined signature values.
In some arrangements, because it is possible that a signature might not be unique for a particular location, the gNB may determine a second type of signature (for example, using RSRP measurements rather than the SRS channel estimation as described above). Here, the gNB is then able to associate both the already-logged SRS signature and the new RSRP signature with the same best beam. In other words, the infrastructure equipment may be configured to determine that one of the determined signature values is the same as a previously determined signature value, to determine a second signature value, the second signature value being a different type of signature to the one of the determined signature values, and to create, based on the performed measurements, the association between both the determined signature value and the second signature value and one of the plurality of beams.
In a similar scenario, because it is possible that a signature might not be unique for a particular location, the gNB may determine a best beam in one location and a different best beam in a second location are both associated with the same non-unique signature. In such a case, the gNB may then again determine a second type of signature at the second location (and optionally, at the first location too) to associate in combination with the first non-unique signature and the different best beams. In other words, the infrastructure equipment may be configured to determine that one of the determined signature values is the same as a previously determined signature value, to create, based on the performed measurements, the association between the determined signature value and the one of the plurality of beams, to determine that the previously determined signature value is associated with a different one of the plurality of beams to the determined signature value, to determine a second signature value, the second signature value being a different type of signature to the one of the determined signature values, and to create, based on the performed measurements, the association between both the determined signature value and the second signature value and one of the plurality of beams.
An example of the collected data set for the example in
The example in
In some arrangements of embodiments of the present technique, the signature (e.g. channel estimation) in each measurement location is determined using default RIS parameters, i.e. a known set of phase shifts (D. In other words, the infrastructure equipment may be configured to determine the plurality of possible signature values associated with the communications device whilst maintaining a default configuration of the plurality of RIS elements.
Using the measurements in
An example of the utilisation of default RIS parameters for the determination of signatures is shown in
In the example of
In some arrangements of embodiments of the present technique, multiple signatures (e.g. channel estimations) are measured, one for each RIS beam configuration. In other words, the infrastructure equipment may be configured to perform the determination of the plurality of possible signature values associated with the communications device a plurality of times, for each of a different configuration of the plurality of RIS elements, to produce a plurality of sets of the plurality of possible signature values. Such arrangements allow the RIS, during online operation, to use a beam for a first UE at the same time as a second UE is transmitting SRS (or receiving CSI-RS) for the purpose of determining the signature.
An example of such arrangements is shown in
In the example of
An example data set collected using such arrangements as described with respect to the example of
An example online (operational phase) operation using the data set in the table of
In some arrangements of embodiments of the present technique, different data sets are collected for the downlink and the uplink transmissions. Such arrangements recognise that in FDD, the downlink and uplink channels are not reciprocal and therefore separate data sets are required. In other words, the infrastructure equipment may be configured to perform the training phase separately for downlink transmissions and uplink transmissions. For signatures using channel estimation (or RF samples), the uplink channel estimation is performed at the gNB using the UE's SRS or PRACH transmissions. In the downlink, the UE performs the channel estimation using RS from the gNB such as CSI-RS, etc, and feeds back the channel estimates to the gNB. The pairing of the best beam may also be done separately for the UL and DL. For signatures using RSRP, GPS/geographic location, or time differences, the signatures can each be determined once since they will be the same in the DL and the UL, but the beam pairing step is then required to be carried out separately for the DL and UL.
It should also be noted that the nine and five RIS beams considered for data set collection in the examples in
It should be appreciated that although the examples described herein utilised channel estimation as the signature, other signatures such as RSRP and GPS/geographic locations as described in accordance with arrangements of embodiments of the present technique can of course be used for the data set collection process instead.
In some arrangements of embodiments of the present technique, the signatures from the UE are post-processed in order to provide a derived value. That derived value is then associated with a beam. In other words, the infrastructure equipment may be configured, when determining the plurality of possible signature values associated with the communications device, to perform a post-processing procedure on the plurality of possible signature values. As an example, the power delay profile that is produced as a result of channel estimation can be compared to the power delay profiles that would be expected from a ray tracing model of the deployment at different locations within the ray tracing model. The derived value is then a location that is derived from the ray tracing model. It should be noted that it doesn't particularly matter whether the location derived from the ray tracing model is the actual location of the UE. All that is required here is a mapping between the derived values and the best beams.
In the above examples, it is assumed that there is a single best beam associated with a signature. In general however, there can be multiple beams associated with a signature. For example, there are some locations (i.e. signatures) where a significantly improved SNR can be obtained if the UE is served by both the direct beam from the gNB and a reflected beam from the RIS, or if the UE is served by beams from two RIS, i.e. RIS1 and RIS2. Hence, in some arrangements of embodiments of the present technique, the data set may comprise a set of beams with each signature. For example, in the table of
It is possible that there is more than one appropriate beam corresponding to a signature, for example, the gNB direct beam and a RIS beam may offer the same SNR (or similar SNR) at the UE in a location. In other words, the infrastructure equipment may be configured to determine that the transmitted/received signals have the highest strength for a particular signature value when transmitted/received via each of two or more of the plurality of beams. Hence, to cater for this, in some arrangements of embodiments of the present technique, when two or more beams produces similar SNR, the following implementations can be used:
Such arrangements as those described above, where there is more than one appropriate beam corresponding to a signature, for example, the gNB direct beam and a RIS beam may offer the same SNR (or similar SNR) at the UE in a location, can allow for the saving of power and/or latency (e.g. by utilising direct beams when this is as good as or within a certain threshold of the best RIS beam), and may also—if a direct beam is used instead of a RIS beam—free up the RIS elements for re-radiating signals via RIS beams to other UEs which may need to receive signals via RIS beams more, such as UEs located in shadow areas.
The UE may alternatively signal all beams that have an SNR within TBeam of the direct beam. This would lead to one signature being associated with multiple potential beams. This would allow the gNB to make better decisions on which beam to use to service UEs within its coverage area. For example, if there are two UEs that need to be scheduled in the coverage area, where:
In this example, the gNB could service UE_A with the direct beam and could service UE_B with the RIS beam at the same time. This would mean that UE_B could be serviced via the RIS and UE_A could still receive service that is good enough (if UE_A had been serviced by the RIS, it would have received a more robust signal but UE_B could not have been scheduled).
It can be observed that there is essentially an infinite (or at least, a very large) number of possible signatures, and depending on the number of elements comprised by the RIS, there can also potentially be a very large number of possible RIS beams. The data set collection therefore may be just a fraction of all possible signature-beam matches. That is, the data set is a statistical representation of the possible combinations of signatures and beams. Hence, an algorithm for the signature-beam association may be required so that, during the online operational phase, the signature (such as channel estimation obtained at the gNB for a specific UE) can be used as an input to the algorithm used for the signature-beam association to determine an appropriate beam for the transmission.
In some arrangements of embodiments of the present technique, the algorithm for the signature-beam association may be developed using Machine Learning. The data set is used as training data where during an inference phase, the input is the recorded signatures and the output is the paired beams; during a training phase, the training data set comprises matched pairs of recorded signature and paired beam. In other words, during the operational phase, the selecting the selected beam based on the signature value may comprise performing a machine learning algorithm, the signature value being an input to the machine learning algorithm and the selected beam being an output of the machine learning algorithm. During the training phase, the infrastructure equipment may be configured to train the machine learning algorithm by matching, as an input to the machine learning algorithm, each of the determined signature values with, as an output to the machine learning algorithm, the associated beam of the plurality of beams.
In other arrangements of embodiments of the present technique, the algorithm for the signature-beam association may be a lookup table where each entry contains a signature for a known RIS parameter and the paired beam. In other words, the selecting the selected beam based on the signature value may comprise using a look-up table to select the selected beam based on an association between the selected beam and the signature value defined in the look-up table. The channel estimates or RSRP measurements for a UE are obtained during online operation and they are used by the gNB to find the closest match to a signature in the lookup table to determine the beam for its transmission.
In other arrangements of embodiments of the present technique, a signature determined by the gNB may not be unique, i.e., there may be different locations in the cell which have a similar signature. In this case, a gNB may associate a signature to multiple beams, and as a result the transmission may be duplicated via multiple beams as the gNB does not exactly know which beam the UE is located in. In other words, two or more of the plurality of beams are associated with the signature value, and the infrastructure equipment may be configured to select, based on the signature value, each of the two or more of the plurality of beams that are associated with the signature value for the transmission of a signal between the infrastructure equipment and the communications device, and to transmit the signal to or receiving the signal from the communications device via each of the two or more selected beams.
Similarly, in such a case where the signature is not unique, as described above with respect to the example data set collection of
In a similar scenario, where a signature is not unique for a particular location, the gNB may determine a best beam in one location and a different best beam in a second location are both associated with the same non-unique signature. In such a case, the gNB may then again determine a second type of signature at the second location (and optionally, at the first location too) to associate in combination with the first non-unique signature and the different best beams. In other words, the infrastructure equipment may be configured to determine that one of the determined signature values is the same as a previously determined signature value, to create, based on the performed measurements, the association between the determined signature value and the one of the plurality of beams, to determine that the previously determined signature value is associated with a different one of the plurality of beams to the determined signature value, to determine a second signature value, the second signature value being a different type of signature to the one of the determined signature values, and to create, based on the performed measurements, the association between both the determined signature value and the second signature value and one of the plurality of beams.
During online operation, the gNB needs to obtain the signature from the UE so that it can be fed into the signature-beam association algorithm to determine an appropriate beam, i.e. either a RIS beam or the gNB's direct beam, for its or for the UE's transmissions. Some signalling is required in some implementations (i.e. those where the UE determines its own signature or provides certain measurements/signals to the gNB for it to determine the UE's signature) so that the gNB can obtain the signature during the training process and also during online operations.
For TDD operation, where the signature is the channel estimation, the gNB can use the legacy SRS or PRACH transmission from the UE to obtain the signature. In other words, the channel estimation is performed by the infrastructure equipment based on signals (e.g. reference signals or PRACH transmissions) received by the infrastructure equipment from the communications device. Due to channel reciprocity, this signature can be used for UL and DL transmissions. Hence no new signalling is required for this operation, which is particularly advantageous.
In some arrangements of embodiments of the present technique, where the signature is a collection of signal strengths from different cells, a new measurement report consisting of a list of cells is introduced.
In other arrangements of embodiments of the present technique, the UE feedbacks its channel estimations, e.g. based on CSI-RS or DMRS, to the gNB. In other words, the infrastructure equipment may be configured to receive, from the communications device, an indication of the channel estimation performed by the communications device. Here, the signals transmitted by the infrastructure equipment to the communications device for the communication device to perform the channel estimation may be channel state information reference signals and/or demodulation reference signals. Such arrangements are beneficial for DL transmission in an FDD operation since there is no channel reciprocity for FDD.
In some such arrangements of embodiments of the present technique, the channel estimation feedback from the UE may be quantized, e.g. to P number of paths. In other words, the indication of the channel estimation performed by the communications device is received as a quantized indication of the channel estimation. Quantizing the channel estimation feedback is beneficial if the channel estimation feedback is performed at the physical layer as typically there is limited capacity for control channel feedback in PUCCH.
The method of
Those skilled in the art would appreciate that the method shown by
Those skilled in the art would further appreciate that such infrastructure equipment and/or communications devices as herein defined may be further defined in accordance with the various arrangements and embodiments discussed in the preceding paragraphs. It would be further appreciated by those skilled in the art that such infrastructure equipment and communications devices as herein defined and described may form part of communications systems other than those defined by the present disclosure.
The following numbered paragraphs provide further example aspects and features of the present technique:
Paragraph 1. A method of operating an infrastructure equipment forming part of a wireless communications network, the infrastructure equipment being configured to transmit signals to and/or to receive signals from a communications device and/or to transmit signals to and/or receive signals from a reconfigurable intelligent surface, RIS, the method comprising, during an operational phase,
Paragraph 2. A method according to Paragraph 1, wherein the signature value is a channel estimation of a communications channel between the infrastructure equipment and the communications device.
Paragraph 3. A method according to Paragraph 2, wherein the channel estimation is performed by the infrastructure equipment based on signals received by the infrastructure equipment from the communications device.
Paragraph 4. A method according to Paragraph 3, wherein the signals, received from the communications device and based on which the channel estimation is performed by the infrastructure equipment, are reference signals and/or random access signals.
Paragraph 5. A method according to any of Paragraphs 2 to 4, wherein the channel estimation is performed by the communications device based on signals transmitted by the infrastructure equipment to the communications device.
Paragraph 6. A method according to Paragraph 5, comprising receiving, from the communications device, an indication of the channel estimation performed by the communications device.
Paragraph 7. A method according to Paragraph 6, wherein the indication of the channel estimation performed by the communications device is carried in Uplink Control Information, UCI, received from the communication device.
Paragraph 8 A method according to Paragraph 6 or Paragraph 7, wherein the indication of the channel estimation performed by the communications device is received in a Physical Uplink Control Channel, PUCCH, from the communication device.
Paragraph 9. A method according to any of Paragraphs 6 to 8, wherein the indication of the channel estimation performed by the communications device is received as a quantized indication of the channel estimation.
Paragraph 10. A method according to any of Paragraphs 5 to 9, wherein the signals transmitted by the infrastructure equipment to the communications device for the communication device to perform the channel estimation are channel state information reference signals and/or demodulation reference signals.
Paragraph 11. A method according to any of Paragraphs 1 to 10, wherein the signature value is a measured strength of one or more signals received by the communications device from the infrastructure equipment and/or measured strength of one or more signals received by the communications device from one or more other infrastructure equipment.
Paragraph 12. A method according to Paragraph 11, comprising
Paragraph 13. A method according to Paragraph 11 or Paragraph 12, wherein the signature value is the measured strength of the one or more signals received by the communications device from the one or more other infrastructure equipment relative to the measured strength of the one or more signals received by the communications device from the infrastructure equipment.
Paragraph 14. A method according to Paragraph 13, comprising
Paragraph 15. A method according to any of Paragraphs 1 to 14, wherein the signature value is a measured strength of one or more sidelink signals received by the communications device from one or more nodes of the wireless communications network.
Paragraph 16. A method according to Paragraph 15, comprising
Paragraph 17. A method according to any of Paragraphs 1 to 16, wherein the signature value is associated with a time of arrival at the communications device of signals received by the communications device from the infrastructure equipment and/or signals received by the communications device from one or more other infrastructure equipment.
Paragraph 18. A method according to Paragraph 17, wherein the signature value is a difference between the time of arrival and a time of transmission of the signals by the infrastructure equipment and/or the signals by the one or more other infrastructure equipment.
Paragraph 19. A method according to Paragraph 17 or Paragraph 18, comprising
Paragraph 20. A method according to Paragraph 19, comprising
Paragraph 21. A method according to any of Paragraphs 1 to 20, wherein the signature value is a geographic location of the communications device.
Paragraph 22. A method according to any of Paragraphs 1 to 21, wherein the signature value is a set of samples taken by the infrastructure equipment based on signals received by the infrastructure equipment from the communications device.
Paragraph 23. A method according to any of Paragraphs 1 to 22, wherein the signature value is a set of samples taken by the communications device based on signals received by the communications device from the infrastructure equipment, and the method comprises
Paragraph 24. A method according to any of Paragraphs 1 to 23, wherein the selecting the one or more selected beams based on the signature value comprises performing a machine learning algorithm, the signature value being an input to the machine learning algorithm and the one or more selected beams being an output of the machine learning algorithm.
Paragraph 25. A method according to any of Paragraphs 1 to 24, wherein the selecting the one or more selected beams based on the signature value comprises using a look-up table to select the one or more selected beams based on an association between the one or more selected beams and the signature value defined in the look-up table.
Paragraph 26. A method according to any of Paragraphs 1 to 25, wherein two or more of the plurality of beams are associated with the signature value, and the method comprises
Paragraph 27. A method according to any of Paragraphs 1 to 26, wherein the method comprises a training phase prior to the operational phase, wherein the method comprises, during the training phase,
Paragraph 28. A method according to Paragraph 27, wherein the performing the measurements comprises, for each of the plurality of signature values
Paragraph 29. A method according to Paragraph 28, wherein the creating the associations between the plurality of signature values and the plurality of beams comprises
Paragraph 30. A method according to Paragraph 28 or Paragraph 29, comprising
Paragraph 31. A method according to Paragraph 30, comprising
Paragraph 32. A method according to Paragraph 30 or Paragraph 31, comprising
Paragraph 33. A method according to any of Paragraphs 28 to 32, comprising
Paragraph 34. A method according to Paragraph 33, comprising
Paragraph 35. A method according to Paragraph 33 or Paragraph 34, comprising
Paragraph 36. A method according to any of Paragraphs 27 to 35, wherein the training phase is performed a plurality of times, wherein, during each of the times the training phase is performed, the communications device has a different geographic location.
Paragraph 37. A method according to any of Paragraphs 27 to 36, wherein the determining the plurality of possible signature values associated with the communications device is performed whilst maintaining a default configuration of the plurality of RIS elements.
Paragraph 38. A method according to any of Paragraphs 27 to 37, wherein the determining the plurality of possible signature values associated the communications device is performed a plurality of times, for each of a different configuration of the plurality of RIS elements, to produce a plurality of sets of the plurality of possible signature values.
Paragraph 39. A method according to any of Paragraphs 27 to 38, wherein the training phase is performed separately for downlink transmissions and uplink transmissions.
Paragraph 40. A method according to any of Paragraphs 27 to 39, wherein the determining the plurality of possible signature values associated with the communications device comprises performing a post-processing procedure on the plurality of possible signature values.
Paragraph 41. A method according to any of Paragraphs 27 to 40, wherein the steps of performing, for each of the plurality of signature values, measurements using each of the plurality of beams, and creating, based on the performed measurements, associations between the plurality of signature values and the plurality of beams, are only performed by the infrastructure equipment when a determined signature value is determined to be different to any previously determined signature values.
Paragraph 42. A method according to any of Paragraphs 27 to 41, comprising
Paragraph 43. A method according to any of Paragraphs 27 to 42, comprising
Paragraph 44. A method according to any of Paragraphs 27 to 43, comprising, during the training phase, training a machine learning algorithm by matching, as an input to the machine learning algorithm, each of the determined signature values with, as an output to the machine learning algorithm, the associated beam of the plurality of beams.
Paragraph 45. A method according to any of Paragraphs 1 to 44, wherein the RIS comprises a plurality of RIS elements, and the controlling, by the infrastructure equipment, the configuration of the RIS comprises controlling, by the infrastructure equipment, a configuration of the plurality of RIS elements of the RIS.
Paragraph 46. A method according to any of Paragraphs 1 to 45, wherein the controlling, by the infrastructure equipment, the configuration of the RIS comprises controlling, by the infrastructure equipment, an amount by which the RIS is bent.
Paragraph 47. A method according to any of Paragraphs 1 to 46, wherein the controlling, by the infrastructure equipment, the configuration of the RIS comprises controlling, by the infrastructure equipment, an amount by which the RIS is rotated.
Paragraph 48. A method according to any of Paragraphs 1 to 47, wherein the controlling, by the infrastructure equipment, the configuration of the RIS comprises controlling, by the infrastructure equipment, a size of a reflection angle of the RIS.
Paragraph 49. A method according to any of Paragraphs 1 to 48, wherein the controlling, by the infrastructure equipment, the configuration of the RIS comprises controlling, by the infrastructure equipment, a focal length of the RIS.
Paragraph 50. A method according to any of Paragraphs 1 to 49, wherein the controlling, by the infrastructure equipment, the configuration of the RIS comprises transmitting signalling information to a RIS controller coupled to the RIS.
Paragraph 51. An infrastructure equipment forming part of a wireless communications network, the infrastructure equipment comprising
Paragraph 52. Circuitry for infrastructure equipment forming part of a wireless communications network, the circuitry comprising
Paragraph 53. A reconfigurable intelligent surface, RIS, comprising
Paragraph 54. A reconfigurable intelligent surface, RIS, controller coupled to a RIS according to Paragraph 53, the RIS controller configured to receive signals from and/or to transmit signals to the infrastructure equipment.
Paragraph 55. A method of operating a communications device configured to transmit signals to and/or to receive signals from an infrastructure equipment and/or to transmit signals to and/or receive signals from a reconfigurable intelligent surface, RIS, the method comprising, during an operational phase,
Paragraph 56. A communications device comprising
Paragraph 57. Circuitry for a communications device, the circuitry comprising
Paragraph 58. A wireless communications system comprising an infrastructure equipment according to Paragraph 51 and a reconfigurable intelligent surface, RIS, according to Paragraph 53.
Paragraph 59. A wireless communications system according to Paragraph 58, further comprising a reconfigurable intelligent surface, RIS, controller according to Paragraph 54.
Paragraph 60. A wireless communications system according to Paragraph 58 or Paragraph 59, further comprising a communications device according to Paragraph 56.
Paragraph 61. A computer program comprising instructions which, when loaded onto a computer, cause the computer to perform a method according to any of Paragraphs 1 to 50 or Paragraph 55.
Paragraph 62. A non-transitory computer-readable storage medium storing a computer program according to Paragraph 61.
It will be appreciated that the above description for clarity has described embodiments with reference to different functional units, circuitry and/or processors. However, it will be apparent that any suitable distribution of functionality between different functional units, circuitry and/or processors may be used without detracting from the embodiments.
Described embodiments may be implemented in any suitable form including hardware, software, firmware or any combination of these. Described embodiments may optionally be implemented at least partly as computer software running on one or more data processors and/or digital signal processors. The elements and components of any embodiment may be physically, functionally and logically implemented in any suitable way. Indeed, the functionality may be implemented in a single unit, in a plurality of units or as part of other functional units. As such, the disclosed embodiments may be implemented in a single unit or may be physically and functionally distributed between different units, circuitry and/or processors.
Although the present disclosure has been described in connection with some embodiments, it is not intended to be limited to the specific form set forth herein. Additionally, although a feature may appear to be described in connection with particular embodiments, one skilled in the art would recognise that various features of the described embodiments may be combined in any manner suitable to implement the technique.
Number | Date | Country | Kind |
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22162755.7 | Mar 2022 | EP | regional |
Filing Document | Filing Date | Country | Kind |
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PCT/EP2023/054941 | 2/28/2023 | WO |