Embodiments described herein relate generally to methods and systems for scheduling communication links between user devices and signal nodes in distributed cellular systems.
Distributed cellular systems, in which a central processing unit controls a number of distributed cells or remote radio units are becoming increasingly popular. Two examples of such systems are distributed antenna systems (DAS) and future cloud RAN (radio access network).
Distributed antenna systems (DAS) are being developed for the latest LTE (long term evolution) systems to improve cell coverage and system performance, by introducing a new network architecture in which multiple antennas are deployed over the cell in a distributed manner. In such an architecture, the antennas are connected to a central control hub unit (HU) normally with optical fibre and the antenna can be considered as radio remote units (RU), while the baseband signals are gathered and processed in the HU. As a result, the DAS can make use of spatial multiplexing gain and hence provide better system performance.
DAS can be deployed for different application scenarios. For example, the macro base station can be equipped with distributed antennas at different locations within a macro cell, instead of traditional co-located antennas. More recently, hybrid or heterogeneous networks are becoming more practical to address the coverage problem, offload the traffic, and improve user device experience. In such networks, different types of cells overlay the same area, for example, small pico cells sit within a macrocell. Normally these small cells are located indoors/inside a building and DAS are extremely useful for further improving the performance of these small cells. Therefore, DAS are becoming increasingly popular in buildings with such small cells.
Embodiments described herein may provide a novel resource allocation method for distributed cellular systems, where a central processing unit controls a number of distributed cells or remote radio units. These remote units can be, for example, RUs in a DAS architecture or remote radio units (RRUs) in the GRAN model.
Embodiments of the invention will now be described by way of example with reference to the accompanying drawings in which:
According to one embodiment a method is provided for scheduling communication links between user devices and signal nodes in a network. The method may comprise:
In some embodiments, the fairness criterion for each user device is based on a ratio of the transmission rate achievable between the user device and the signal node in its respective pair, and the throughput previously achieved by the user device.
In some embodiments, the throughput previously achieved by each user device is measured from a predetermined point in time. For example, the throughput previously achieved may be the total throughput achieved by the user device over a predetermined number of scheduling epochs. In some embodiments, the throughput previously achieved by a user device may be calculated as the mean throughput achieved by the user device over a predetermined number of scheduling epochs. A scheduling epoch may correspond to a period between identifying an inactive pair to be made into an active pair and subsequently identifying a further inactive pair to be made into an active pair.
In some embodiments, the step of identifying the inactive pair that when made into an active pair will result in the greatest total fairness criterion includes:
In some embodiments, the step of identifying the inactive pair that, when made into an active pair, will achieve the greatest total fairness criterion, includes taking into consideration interference generated by making each respective inactive pair into an active pair. For example, when determining whether an inactive pair is to be made into an active pair, a signal to noise ratio may be calculated for each presently active pair, where the noise includes interference generated by making the respective inactive pair into an active pair.
Some embodiments include a step of checking whether the greatest total fairness criterion is greater than the sum of the fairness criterions of the active user devices. In some embodiments, an inactive pair is only made into an active pair if the greatest total fairness criterion achieved by making the inactive pair into an active pair is greater than the sum of the fairness criterions of the active user devices.
In some embodiments, an inactive pair is only made into an active pair if the potential total sum proportional fair ratio for the respective inactive pair is greater than the sum of the proportional fair ratios of the active user devices.
Some embodiments include a step of checking whether any inactive pairs remain after an inactive pair has been made into an active pair and if so, repeating the earlier steps of the method. In the event that no inactive pairs remain after the inactive pair has been made into an active pair, a new signal channel may be selected, and the steps of the method may then be repeated for the new signal channel.
In some embodiments, active user device(s) are also treated as potential user device(s) of the inactive signal nodes. In the event that the inactive pair identified as achieving the greatest total fairness criterion includes a potential user device that is also an active user device in an active pair, the signal nodes in the respective active and inactive pairs may transmit cooperatively to the potential user device when the inactive pair becomes an active pair. For example, the signal transmitted from one signal node may be synchronised with the signal transmitted from the other signal node. For example, the signal transmitted from one signal node may be interleaved in time with the signal transmitted from the other signal node. The signal transmitted from the other signal node may, therefore, provide useful signal to the user device, rather than interference.
In some embodiments, the signal channel is a subcarrier signal in an OFDM-based system.
In some embodiments, the inactive pair identified as achieving the greatest total fairness criterion is only made into an active pair in the event that the fairness criterion calculated for each active user device remains above a threshold when the inactive pair is made into an active pair.
A second embodiment provides a system controller for a multi node communication system for scheduling communication links between signal nodes and user devices, the controller being configured to:
In some embodiments, the fairness criterion for each user device is determined by the system controller based on a ratio of the transmission rate achievable between the user device and the signal node in its respective pair, and the throughput previously achieved by the user device.
In some embodiments, the system controller is configured to calculate the throughput previously achieved by the user device is calculated as the average throughput achieved over a predetermined number of scheduling epochs. Each scheduling epoch may correspond to a period between when the system controller identifies an inactive pair to be made into an active pair, and when the system controller subsequently identifies a further inactive pair to be made into an active pair.
In some embodiments, when identifying the inactive pair that will achieve the greatest total fairness criterion when made into an active pair, the controller is configured to:
In some embodiments, the system controller is configured to take into consideration the effect of interference from the active pairs when calculating the achievable rate of transmission for each inactive pair.
In some embodiments, the system controller is configured to check whether the greatest total fairness criterion is greater than the sum of the fairness criterions of each of the active user devices and if so, to make the inactive pair identified in step iii) an active pair. In some embodiments, the system controller is configured to only make the inactive pair identified in step iii) into an active pair if the potential total sum proportional fair ratio for the respective inactive pair is greater than the sum of the proportional fair ratios of the active user devices.
In some embodiments, the controller is configured to check whether any inactive pairs remain after the inactive pair identified as achieving the greatest total fairness criterion has been made into an active pair and if so, to repeat steps i) to iii).
In some embodiments, in the event that no inactive pairs remain after the inactive pair identified in step iii) has been made into an active pair, the system controller is configured to select a new signal channel and to repeat steps i) to iii) for the new signal channel.
In some embodiments, the controller is configured to include active user devices amongst the potential user devices of each inactive signal node.
In some embodiments, in the event that the inactive pair identified in step iii) includes a potential user device that is also an active user device in another active pair, the system controller is configured to control the signal nodes in the respective active and inactive pair to cooperatively transmit to the potential user device when the inactive pair becomes an active pair.
In some embodiments, the system controller is configured to make the inactive pair identified as achieving the greatest total fairness criterion into an active pair only in the event that the respective fairness criterion for each active user device remains above a threshold when the inactive pair is made into an active pair.
In some embodiments, the system controller may be comprised within a system including a plurality of signal nodes that are controllable by the system controller. In some embodiments, the system is an OFDM-based system.
In some embodiments, the fairness criterion for a potential user device in an inactive pair is calculated as being the rate of transmission achievable between the potential user device and the respective inactive node.
A third embodiment of the present invention provides a computer program product stored on a computer-readable media comprising instructions operative to cause a system controller to execute a method according to the first embodiment of the present invention.
In addition to DAS, a new cellular architecture called Cloud Radio Access Network (CRAN) is gaining increasing popularity among major network operators and equipment vendors (e.g. China Mobile, Intel, Huawei, Ericsson). Thanks to the rapid development in computer networks and multi-core processors, real-time cloud computing with centralized processing is becoming a reality. Cloud Computing refers to both the applications delivered as services over the Internet and the hardware and systems software in the data centres that provide those services. There have been proposals (e.g. from Nokia) of offloading computation at mobile clients to the cloud so as to save energy for mobile devices. Recently, China Mobile, IBM, and a few other major ICT companies (e.g. Intel, Huawei, Ericsson) proposed to move CoMP (Coordinated Multipoint Transmission) in LTE one step further towards the so-called Cloud Radio Access Network (CRAN) where clusters of base stations are connected through a Common Public Radio Interface via high speed optical transport networks. Such network architecture moves the high computational complexity to the central processing cloud, and allows low power consumption at the base stations—a way towards green radio. A diagram of the GRAN architecture is shown in
GRAN represents a paradigm shift in cellular network architecture (which has remained largely the same for the past 30 years). As signal processing moves to a powerful cloud, global knowledge of the network conditions and user device traffic may become available. Better coordination of base stations, easier control signalling and better load balancing may therefore be achieved.
Thus, distributed cellular systems offer many advantages. Nonetheless, these types of systems pose challenges as well as opportunities. For example, while DAS brings benefit to in-building small cells, a major problem is interference, especially inter-RU interference within a HU. Referring to
Signal node SN1 is an active signal node that is presently transmitting information to user device UD1 over a signal channel. Together, signal node SN1 and UD1 form an active pair 1. Similarly, signal node SN2 and user device UD2 form a second active pair 3. Signal node SN3 is presently inactive, as it is not currently transmitting to any one of the user devices. Similarly, signal node SN4 is also not transmitting at the present time.
SN3 has the potential to transmit to either one of user devices UD1 or UD3. Thus, SN3 and UD1 together form an inactive pair 5, and SN3 and UD3 form another inactive pair 7. In a similar fashion, SN4 and UD3 form an inactive pair and so do SN4 and UD4. In theory, SN3 is free to transmit to either UD1 or UD3 over the same signal channel as SN1, and SN4 is free to transmit to either UD3 or UD4 over the same signal channel.
Embodiments of the present invention provide a means for establishing which of the presently inactive signal nodes shall next be activated to transmit on the signal channel, and which user device shall receive transmissions from that signal node. When selecting which one of the inactive nodes to activate, and which user device to transmit to, the net effect on the transmission rate of all presently active pairs may be considered. For example, the transmission rate achieved by active pairs of signal nodes and user devices may be reduced as a result of interference introduced when activating a new pair. At the same time, it may be necessary to balance this reduction in transmission rate in presently active pairs against the need to ensure that other, presently inactive, user devices are still able to achieve a minimum degree of throughput.
In some embodiments, proportional fair scheduling is used to establish a fairness criterion for respective user devices. The proportional fair scheduling can be expressed to maximize the sum of logarithmic average user device throughput as
where
It has been proved that the proportional fair optimization for multicarrier or OFDM-based systems can be presented as:
Subject to
where xi,n(i) is the binary allocation variable that is one if the scheduler assigns the nth signal channel to the ith user device, otherwise zero. ri,n(t) is the instantaneous achievable throughput of the ith user device on the nth signal channel.
The optimal solution for (2) is highly complicated since it has to exhaustively search the maximum among all the possible combinations and the following alternative linear optimization for proportional fair is widely used:
Subject to:
The widely accepted solution for (3) is the carrier-wise proportional solution:
The basic idea of carrier-wise proportional solution in (4) is to assign the user devices over the signal channels one by one. For each signal channel, the user device that has the maximal proportional fair ratio
as in (4) will be assigned.
GRAN and DAS are very similar, since in both architectures there is a central control unit and a number of RUs (cf.
In the in-building DAS, the HU is a central control unit and has all the channel status information (CSI) of the user devices of its RUs, which makes it possible for fast multi-RU dynamic resource allocation/scheduling to reduce the interference. Furthermore, the HU can coordinate the transmissions among the RUs and sometimes enable multiple RUs to cooperatively transmit to the user devices to eliminate interference. To this end, embodiments of the present invention utilise a new radio resource allocation method: joint proportional fair scheduling with cooperative transmission for OFDM-based distributed cellular systems.
The system-wide proportional fair optimization for a DAS can be presented as
Subject to:
where sr is the set of user devices served by the cth RU. xc,j,n(i) is the binary allocation variable that is one if scheduler assigns the nth signal channel to the ith user device in the cth RU, otherwise zero. rc,j,n(i) is the instantaneous achievable rate of the ith user device on the nth signal channel in the cth RU.
It should be noted that the achievable rate of a user device in a given RU depends on not only the signal from the given RU, but also the interference from other RUs, which makes the optimization in (5) more difficult. Finding the optimal solution for (5) is NP-hard and therefore it makes sense to find a practical, suboptimal solution.
In some embodiments, a signal channel-wise suboptimal solution is disclosed to assign the user devices over the signal channels one by one. For each signal channel n, the user devices among the RUs are assigned to maximize the sum of proportional fair ratio as in (6), subject to the constraint that there is at most only one user device assigned to each RU.
Subject to
To maximize the sum of proportional fair ratio at each signal channel as in (6), an iterative method is proposed to allocate user devices to the signal channel in a greedy fashion: at each iteration, among the unselected user devices of unselected RUs (i.e. potential user devices in inactive pairs), the user device with the highest positive contribution to the sum of proportional fair ratio of previously selected user devices (i.e. active devices) will be selected. Then the next iteration will be carried out until either every RU is assigned a user device or there is no further positive contribution to the sum of proportional fair ratio. The whole procedure includes the following steps.
Denote Cn the set of RUs having user devices selected at signal channel n, and name the RUs in the set as selected RUs. Un is the set of selected user devices for signal channel n. Hence {Ch, Un} is a pair set of the selected RUs and user devices (i.e. the set of active pairs). Ω is the sum of the proportional fair ratio of current selected (i.e. active) user devices. K is the set of total RUs.
Without loss of generality, assume there are total K user devices and the set of total user devices is
For each signal channel n, the iterative procedure can be described as follows:
Step 1: Initialization
Cn=φ;
Un=φ;
{Cn, Un}={φ, φ}
n=φ
φ=0
Step 2: For each unselected RU c∈
a) Calculate the achievable rate rc,j,n(i) for ∀i ∈ Sc, with interferences from the RUs of the set q, (i.e. interference from the active user devices).
b) Calculate the achievable rate rc′,j,n←c for the previously selected user devices (i.e. the active devices) ∀{c′,j}∈{Cn, Un} assuming that a potential user device in the RU c∈
c) Calculate the sum of proportional fair ratio of previously selected user devices (active user devices) when assuming the potential user device i ∈ Sc is added to the list of active user devices, as given by the expression below:
Then calculate the total sum of proportional fair ratio due to the added user device i ∈ Sc as
d) Find the potential user device among the user devices of unselected RUs (C*,i*) that has the highest contribution to the sum of proportional fair ratio as Tc*i* as
Step 3: Check whether the contribution to the sum of proportional fair ratio is positive. If the contribution to the sum of proportional fair ratio is positive, i.e. Tc*i*>Ω, then:
e) Set xe*,i*,n(i)=1
Step 4: Check whether the set of unselected RU is empty (i.e. check if there are any inactive pairs remaining). If it is not empty, repeat steps 2 and 3, otherwise, proceed to the next signal channel. The above procedure is shown in.
In a DAS, the cell edge user devices of RUs may experience severe interference. To help ensure this does not happen, the above resource allocation method can be slightly revised to further mitigate the multi-RU interference. For example, in some embodiments, in step 2, the equation used to determine which of the potential user devices is to be made into an active user device in each iteration can be changed to ensure that the presently active user devices do not suffer a degraded performance as a result of the inactive pair becoming an active pair.
In some embodiments, the user device among the potential user devices of inactive RUs (c*,i*) that has the highest contribution to the sum of proportional fair ratio Tc*j*
is only made into an active user in the event that:
re*,jn←c>γ ∀{c′,j}∈{Cn, Un}
where γ is the minimal QoS requirement or data rate with minimal MCS support. In other words, where the effect of making an inactive pair into an active pair is to cause the transmission rate achievable for presently active users to fall below a threshold level, the inactive pair is not made into an active pair.
According to the DAS architecture, each RU is physically an analogue antenna array and is connected directly with the HU unit. The HU can have all the CQI information from all the user devices of its RUs and acts as a central control unit. This architecture makes cooperative transmission implementable.
To illustrate the cooperative transmission concept, in
The above carrier-wise resource allocation method can be revised to integrate cooperative transmission as follows. In some embodiments, for each scheduling event, the previously selected user devices (i.e. the active users) may also serve as potential user devices in inactive pairs. As before, the inactive pair that offers the highest positive contribution to the sum of proportional fair ratio of previously selected (i.e. active) user devices will be selected to become an active pair. If the newly selected user device is a previously selected (active) user device, the user device will then be in communication with 2 signal nodes, which will transmit to that user device in a cooperative manner. Then the next iteration will be carried out until either every inactive RU has been assigned a user device, or there is no further positive contribution to the sum of the proportional fair ratio. The whole procedure includes the following steps:
For each signal channel n the iterative procedure can be described as follows:
Step 1: Initialization
Cn=φ
Un=φ
{Cn, Un}={φ, φ}
n=φ
φ=0
Step 2: For each unselected RU c E
a) Calculate the achievable rate rc,j,n(i) for ∀i∈Sc, with interferences from the selected RUs of the set Cn (i.e. interference from the active user devices).
b) Calculate the achievable rate rc′,j,n←c for previously selected (active) user devices ∀{c′,j}∈{Cn, Un} assuming that a potential user device of the RU c∈
c) Calculate the achievable rate rc′,j,n←c for previously selected (active) user devices ∀{c′,j}∈{Cn, Un} assuming that the signal node RU c cooperatively transmits to a user device that is already part of an active pair {c′, j}∈{Cn, Un}.
d) Calculate the total sum of proportional fair ratio as:
assuming that the user device for the unselected RU c (i.e. g ∈Sc) is added.
e) Calculate the total sum of proportional fair ratio as
assuming that the signal node RU c cooperatively transmits to the previously selected (active) user device, i.e. {c′,g}∈{cn, Un}.
f) Find the potential user device that has the highest contribution to the sum of proportional fair ratio as
Step 3. Check whether the contribution to the sum of proportional fair ratio is positive. If the contribution to the sum of proportional fair ratio is positive i.e. Tc*,g*>Ω, then:
Step 4: Check whether the set of unselected RU is empty (i.e. check if there are any inactive pairs remaining). If it is not empty, repeat steps 2 and 3, otherwise, proceed to the next signal channel. The procedure is shown in
Each signal channel may be a subcarrier, but is not limited to the subchannel or chunk level, where the subchannel or chunk is a group of multiple subcarriers.
In contrast to previous methods of resource allocation that schedule user devices in each cell or RU independently without coordination, embodiments described herein provide a new method that can schedule resources to different user devices signal channel-wise to maximize the total sum of the proportional fair ratio in a greedy manner. Embodiments make use of the fact that in the network architecture, the central control unit can have all the channel information of all the user devices of the RUs. Embodiments dynamically allocate resources to user devices in a coordinated fashion. In some embodiments, cooperative transmission between RUs can be used to further reduce inter-RU interference.
Embodiments described herein allocate resources considering the fairness among all the user devices in the RUs, and can achieve better fairness and system performance by maximizing the sum of proportional fair ratio and/or providing joint cooperative transmission between the signal nodes.
Embodiments can be equally applied to DAS and future cloud-based cellular systems.
System simulations have been carried out to study the performance of systems that utilise embodiments of the present invention. In one study, the network layout is modelled with 19 macrocells as shown in
The system performance in terms of CDF of user device throughput and RU throughput is presented in
While certain embodiments have been described, these embodiments have been presented by way of example only, and are not intended to limit the scope of the invention. Indeed, the novel methods, devices and systems described herein may be embodied in a variety of forms; furthermore, various omissions, substitutions and changes in the form of the methods and systems described herein may be made without departing from the spirit of the invention. The accompanying claims and their equivalents are intended to cover such forms or modifications as would fall within the scope and spirit of the inventions.
Number | Date | Country | Kind |
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1122420.1 | Dec 2011 | GB | national |