In cellular systems, user mobility across adjacent cells is typically handled via handoff. During handoff, the information of the user is passed from the base station of the current cell to the base station of the adjacent cell. This procedure results in significant overhead over wireless links and backhaul (due to control information), latency, and potential call drops (e.g., when the cell handling handoff is overloaded). These problems are particularly exacerbated in wireless systems employing small-cells as in long term evolution (LTE) networks. In fact, the coverage area of small-cells is only a fraction of conventional macro-cell deployments, thereby increasing the probability of users moving across cells and the chances to trigger handoff procedures.
Another limit of prior art cellular systems is the rigid design of the base station architectures, which are not amenable for parallelization, particularly as the number of subscribers joining the network increases. For example, every LTE eNodeB can support only a limited number of concurrent subscribers ranging from about 20 users for pico-cells, 60-100 users for small-cells, and up to 100-200 users for macro-cells. These concurrent subscribers are typically served through complex scheduling techniques or via multiple access techniques such as orthogonal frequency division multiple access (OFDMA) or time division multiple access (TDMA).
Given the growing demand for throughput over wireless networks, in some cases at the rate of over 2× per year, and the ever increasing number of wireless subscribers using smart phones, tablets and data-hungry applications, it is desirable to design systems that can provide multiple fold increases in capacity and with scalable architectures that can support large numbers of subscribers. One promising solution is distributed-input distributed-output (DIDO) technology disclosed in the related patents and applications listed above. The present embodiments of the invention include a novel system architecture for DIDO systems that allows for scalability and efficient use of the spectrum, even in the presence of user mobility.
One embodiment of the present invention includes a virtual radio instance (VRI) comprising a protocol stack that maps data streams coming from a network into physical layer I/Q samples fed to the DIDO precoder. In one embodiment each VRI is bound to one user device and the volume of coherence, as described herein, created by the DIDO precoder around that user device. As such, the VRI follows the user device as it moves around the coverage area, thereby keeping its context active and eliminating the need for handoff.
For example, “VRI teleportation” is described below as the process by which the VRI is ported from one physical radio access network (RAN) to another while maintaining the context in an active state and without disrupting the connection. Unlike handoff in conventional cellular systems, VRI teleportation seamlessly hands one VRI from one RAN to the adjacent one, without incurring any additional overhead. Moreover, because of the flexible design of VRIs and given that in one embodiment they are bound to only one user device, the architecture disclosed in the present application is very parallelizable and ideal for systems that scale up to a large number of concurrent subscribers.
A better understanding of the present invention can be obtained from the following detailed description in conjunction with the drawings, in which:
One solution to overcome many of the above prior art limitations is an embodiment of Distributed-Input Distributed-Output (DIDO) technology. DIDO technology is described in the following patents and patent applications, all of which are assigned the assignee of the present patent and are incorporated by reference. These patents and applications are sometimes referred to collectively herein as the “Related Patents and Applications.”
U.S. application Ser. No. 14/156,254, entitled “System and Method For Distributed Antenna Wireless Communications”
U.S. application Ser. No. 14/086,700, entitled “Systems and Methods for Exploiting Inter-cell Multiplexing Gain in Wireless Cellular Systems Via Distributed Input Distributed Output Technology”
U.S. application Ser. No. 14/023,302, entitled “Systems And Methods To Coordinate Transmissions In Distributed Wireless Systems Via User Clustering”
U.S. application Ser. No. 13/844,355, entitled “Systems and Methods for Radio Frequency Calibration Exploiting Channel Reciprocity in Distributed Input Distributed Output Wireless Communications”
U.S. application Ser. No. 13/797,984, entitled “Systems and Methods for Exploiting Inter-cell Multiplexing Gain in Wireless Cellular Systems Via Distributed Input Distributed Output Technology”
U.S. application Ser. No. 13/797,971, entitled “Systems and Methods for Exploiting Inter-cell Multiplexing Gain in Wireless Cellular Systems Via Distributed Input Distributed Output Technology”
U.S. application Ser. No. 13/797,950, entitled “Systems and Methods for Exploiting Inter-cell Multiplexing Gain in Wireless Cellular Systems Via Distributed Input Distributed Output Technology”
U.S. application Ser. No. 13/633,702, entitled “Systems and Methods for wireless backhaul in distributed-input distributed-output wireless systems”
U.S. application Ser. No. 13/475,598, entitled “Systems and Methods to enhance spatial diversity in distributed-input distributed-output wireless systems”
U.S. application Ser. No. 13/464,648, entitled “System and Methods to Compensate for Doppler Effects in Distributed-Input Distributed Output Systems”
U.S. application Ser. No. 13/233,006, entitled “System and Methods for planned evolution and obsolescence of multiuser spectrum”
U.S. application Ser. No. 13/232,996, entitled “Systems and Methods to Exploit Areas of Coherence in Wireless Systems”
U.S. application Ser. No. 12/802,989, entitled “System And Method For Managing Handoff Of AClient Between Different Distributed-Input-Distributed-Output (DIDO) Networks Based On Detected Velocity Of The Client”
U.S. application Ser. No. 12/802,988, entitled “Interference Management, Handoff, Power Control And Link Adaptation In Distributed-Input Distributed-Output (DIDO) Communication Systems”
U.S. application Ser. No. 12/802,975, entitled “System And Method For Link adaptation In DIDO Multicarrier Systems”
U.S. application Ser. No. 12/802,974, entitled “System And Method For Managing Inter-Cluster Handoff Of Clients Which Traverse Multiple DIDO Clusters”
U.S. application Ser. No. 12/802,958, entitled “System And Method For Power Control And Antenna Grouping In ADistributed-Input-Distributed-Output (DIDO) Network”
U.S. Pat. No. 8,654,815, issued Feb. 18, 2014, entitled “System and Method for Distributed Input Distributed Output Wireless Communications”
U.S. Pat. No. 8,571,086, issued Oct. 29, 2013, entitled “System and Method for DIDO precoding interpolation in multicarrier systems”
U.S. Pat. No. 8,542,763, issued Sep. 24, 2013, entitled “Systems and Methods to coordinate transmissions in distributed wireless systems via user clustering”
U.S. Pat. No. 8,469,122, issued Jun. 25, 2013, entitled “System and Method for Powering Vehicle Using Radio Frequency Signals and Feedback”
U.S. Pat. No. 8,428,162, issued Apr. 23, 2013, entitled “System and Method for Distributed Input Distributed Output Wireless Communication”
U.S. Pat. No. 8,307,922, issued Nov. 13, 2012, entitled “System and Method for Powering an Aircraft Using Radio Frequency Signals and Feedback”;
U.S. Pat. No. 8,170,081, issued May 1, 2012, entitled “System And Method For Adjusting DIDO Interference Cancellation Based On Signal Strength Measurements”
U.S. Pat. No. 8,160,121, issued Apr. 17, 2012, entitled, “System and Method For Distributed Input-Distributed Output Wireless Communications”;
U.S. Pat. No. 7,885,354, issued Feb. 8, 2011, entitled “System and Method For Enhancing Near Vertical Incidence Skywave (“NVIS”) Communication Using Space-Time Coding.”
U.S. Pat. No. 7,711,030, issued May 4, 2010, entitled “System and Method For Spatial-Multiplexed Tropospheric Scatter Communications”;
U.S. Pat. No. 7,636,381, issued Dec. 22, 2009, entitled “System and Method for Distributed Input Distributed Output Wireless Communication”;
U.S. Pat. No. 7,633,994, issued Dec. 15, 2009, entitled “System and Method for Distributed Input Distributed Output Wireless Communication”;
U.S. Pat. No. 7,599,420, issued Oct. 6, 2009, entitled “System and Method for Distributed Input Distributed Output Wireless Communication”;
U.S. Pat. No. 7,451,839, issued Nov. 18, 2008, entitled “System and Method for Powering a Vehicle Using Radio Frequency Generators”;
U.S. Pat. No. 7,418,053, issued Aug. 26, 2008, entitled “System and Method for Distributed Input Distributed Output Wireless Communication”;
The present application discloses systems and methods to deliver multiple simultaneous non-interfering data streams within the same frequency band between a network and a plurality of volumes of coherence in a wireless link through Virtual Radio Instances (VRIs). In one embodiment, the system is a multiuser multiple antenna system (MU-MAS) as depicted in
In
The volume of coherence is a volume in space where the waveforms in the same frequency band from different antennas of the MU-MAS add up coherently in a way that only the data output 112 of one VRI is received within that volume of coherence, without any interference from other data outputs from other VRIs sent simultaneously over the same wireless link. In the present application, we use the term “volume of coherence” to describe “personal cells” (e.g., “pCells™” 103), previously disclosed using the phrase “areas of coherence” in previous patent applications, such as U.S. application Ser. No. 13/232,996, entitled “Systems and Methods to Exploit Areas of Coherence in Wireless Systems.” In one embodiment, the volumes of coherence correspond to the locations of the user equipment (UE) 111 or subscribers of the wireless network, such that every subscriber is associated to one or multiple data sources 100. The volumes of coherence may vary in size and shape depending on propagation conditions as well as the type of MU-MAS precoding techniques employed to generate them. In one embodiment of the invention, the MU-MAS precoder dynamically adjusts size, shape and location of the volumes of coherence, thereby adapting to the changing propagation conditions to deliver content to the users with consistent quality of service.
The data sources 100 are first sent through the Network 102 to the Radio Access Network (RAN) 101. Then, the RAN translates the data files or streams into a data format that can be received by the UEs 103 and sends the data files or streams simultaneously to the plurality of volumes of coherence, such that every UE receives its own data files or streams without interference from other data files or streams sent to other UEs. In one embodiment, the RAN 1101 consists of a gateway 105 as the interface between the network and the VRIs 106. The VRIs translates packets being routed by the gateway into data streams 112, either as raw data, or in a packet or frame structure that are fed to a MU-MAS baseband unit. In one embodiment, the VRI comprises the open systems interconnection (OSI) protocol stack consisting of sever layers: application, presentation, session, transport, network, data link and physical, as depicted in
In another embodiment, the VRIs 106 are defined from different wireless standards. By way of example, but not limitation, a first VRI consists of the protocol stack from the GSM standard, a second VRI from the 3G standard, a third VRI from HSPA+ standard, a fourth VRI from the LTE standard, a fifth VRI from the LTE-A standard and a sixth VRI from the Wi-Fi standard. In an exemplary embodiment, the VRIs comprise the control-plane or user-plane protocol stack defined by the LTE standards. The user-plane protocol stack is shown in
The Virtual Connection Manager (VCM) 107 is responsible for assigning the PHY layer identity of the UEs (e.g., cell-specific radio network temporary identifier, C-RNTI) as well as instantiating, authenticating and managing mobility of the VRIs and mapping one or more C-RNTIs to VRIs for the UEs. The data streams 112 at the output of the VRIs are fed to the Virtual Radio Manager (VRM) 108. The VRM comprises a scheduler unit (that schedules DL (downlink) and UL (uplink) packets for different UEs), a baseband unit (e.g., comprising of FEC encoder/decoder, modulator/demodulator, resource grid builder) and a MU-MAS baseband processor (comprising of matrix transformation, including DL precoding or UL post-coding methods). In one embodiment, the data streams 112 are I/Q samples at the output of the PHY layer in
The MU-MAS baseband processor is the core of the VRM 108 in
The systems and methods described thus far work as long the UEs are within reach of the APs. When the UEs travel away from the AP coverage area the link may drop and the RAN 301 is unable to create volumes of coherence. To extend the coverage area, the systems can gradually evolve by adding new APs. There may not be enough processing power in the VRM, however, to support the new APs or there may be practical installation issues to connect the new APs to the same VRM. In these scenarios, it is necessary to add adjacent RANs 302 and 303 to support the new APs as depicted in
In one embodiment a given UE is located in the coverage area served by both the first RAN 301 and the adjacent RAN 302. In this embodiment, the adjacent RAN 302 only carries out MU-MAS baseband processing for that UE, jointly with the MU-MAS processing from the first RAN 301. No VRI is handled by the adjacent RAN 302 for the given UE, since the VRI for that UE is already running within the first RAN 301. To enable joint precoding between the first and adjacent RANs, baseband information is exchanged between the VRM in the first RAN 301 and the VRM in the adjacent RAN 302 through the cloud-VRM 304 and the links 305. The links 305 are any wireline (e.g., fiber, DSL, cable) or wireless link (e.g., line-of-sight links) that can support adequate connection quality (e.g. low enough latency and adequate data rate) to avoid degrading performance of the MU-MAS precoding.
In a different embodiment a given UE moves out of the coverage area of the first RAN 301 into the coverage area of the adjacent RAN 303. In this embodiment the VRI associated to that UE is “teleported” from the first RAN 301 to the adjacent RAN 303. What is meant by the VRI being teleported or “VRI teleportation” is the VRI state information is transferred from RAN 301 to RAN 303, and the VRI ceases to execute within RAN 301 and begins to execute within RAN 303. Ideally, the VRI teleportation occurs fast enough that, from the perspective of the UE served by the teleported VRI, it does not experience any discontinuity in its data stream from the VRI. In one embodiment, if there is a delay before the VRI is fully executing after being teleported, then before the VRI teleportation begins, the UE served by that VRI is put into a state where it will not drop its connection or otherwise enter an undesirable state until the VRI starts up at the adjacent RAN 303, and the UE once again is served by an executing VRI. “VRI teleportation” is enabled by the cloud-VCM 306 that connects the VCM in the first RAN 301 to the VCM in the adjacent RAN 303. The wireline or wireless links 307 between VCM do not have the same restrictive performance constraints as the links 305 between VRMs, since the links 307 only carry data and do not have any effect on performance of the MU-MAS precoding. In the same embodiment of the invention, additional links 305 are employed between the first RAN 301 and the adjacent RAN 303 to connect their VRMs that can support adequate connection quality (e.g. low enough latency and adequate data rate) to avoid degrading performance of the MU-MAS precoding. In one embodiment of the invention, the gateways of the first and adjacent RANs are connected to the cloud-gateway 308 that manages all network address (or IP address) translation across RANs.
In one embodiment of the invention, VRI teleportation occurs between the RAN 401 disclosed in the present application and any adjacent wireless network 402 as depicted in
In one embodiment, the adjacent wireless network 402 is the LTE network shown in
Typical downlink (DL) wireless links consist of broadcast physical channels carrying information for the entire cell and dedicated physical channels with information and data for given UE. For example, the LTE standard defines broadcast channels such as P-SS and S-SS (used for synchronization at the UE), MIB and PDCCH as well as channels for carrying data to given UE such as the PDSCH. In one embodiment of the present invention, all the LTE broadcast channels (e.g., P-SS, S-SS, MIC, PDCCH) are precoded such that every UE receives its own dedicated information. In a different embodiment, part of the broadcast channel is precoded and part is not. By way of example, but not limitation, the PDCCH contains broadcast information as well as information dedicated to one UE, such as the DCI 1A and DCI 0 used to point the UEs to the resource blocks (RBs) to be used over DL and uplink (UL) channels. In one embodiment, the broadcast part of the PDCCH is not precoded, whereas the portion containing the DCI 1A and 0 is precoded in such a way that every UE obtains its own dedicated information about the RBs that carry data.
In another embodiment of the invention precoding is applied to all or only part of the data channels, such as the PDSCH in LTE systems. By applying precoding over the entire data channel, the MU-MAS disclosed in the present invention allocates the entire bandwidth to every UE and the plurality of data streams of the plurality of UEs are separated via spatial processing. In typical scenarios, however, most, if not all, of the UEs do not need the entire bandwidth (e.g., ˜55 Mbps per UE, peak DL data rate for TDD configuration #2 and S-subframe configuration #7, in 20 MHz of spectrum). Then, the MU-MAS in the present invention subdivides the DL RBs in multiple blocks as in frequency division multiple access (FDMA) ororthogonal frequency division multiple access (OFDMA) systems and assigns each FDMA or OFMDA block to a subset of UEs. All the UEs within the same FDMA or OFDMA block are separated into different volumes of coherence through the MU-MAS precoding. In another embodiment, the MU-MAS allocates different DL subframes to different subsets of UEs, thereby dividing up the DL as in TDMA systems. In yet another embodiment, the MU-MAS both subdivides the DL RBs in multiple blocks as in OFDMA systems among subsets of UEs and also allocates different DL subframes to different subsets of UEs as in TDMA systems, thus utilizing both OFDMA and TDMA to divide up the throughput. For example, if there are 10 APs in a TDD configuration #2 in 20 MHz, then there is an aggregate DL capacity of 55 Mbps*10=550 Mbps. If there are 10 UEs, then each UE could receive 55 Mbps concurrently. If there are 200 UEs, and the aggregate throughput is to be divided up equally, then using OFDMA, TDMA or a combination thereof, the 200 UEs would be divided into 20 groups of 10 UEs, whereby each UE would receive 550 Mbps/200=2.75 Mbps. As another example, if 10 UEs required 20 Mbps, and the other UEs were to evenly share the remaining throughput, then 20 Mbps*10=200 Mbps of the 550 Mbps would be used for 10 UEs, leaving 550 Mbps−200 Mbps=350 Mbps to divide among the remaining 200−10=190 UEs. As such, each of the remaining 90 UEs would receive 350 Mbps/190=1.84 Mbps. Thus, far more UEs than APs can be supported in the MU-MAS system of the present application, and the aggregate throughput of all the APs can be divided among the many UEs.
In the UL channel, the LTE standard defines conventional multiple access techniques such as TDMA or SC-FDMA. In the present invention, the MU-MAS precoding is enabled over the DL in a way to assign UL grants to different UEs to enable TDMA and SC-FDMA multiple access techniques. As such, the aggregate UL throughput can be divided among far more UEs than there are APs.
When there are more UEs than there are APs and the aggregate throughput is divided among the UEs, as described above, in one embodiment, the MU-MAS system supports one VRI for each UE, and the VRM controls the VRIs such that VRIs utilize RBs and resource grants in keeping with the chosen OFDMA, TDMA or SC-FDMA system(s) used to subdivide the aggregate throughput. In another embodiment, one or more individual VRIs may support multiple UEs and manage the scheduling of throughput among these UEs via OFDMA, TDMA or SC-FDMA techniques.
In another embodiment, the scheduling of throughput is based on load balancing of user demand, using any of many prior art techniques, depending upon the policies and performance goals of the system. In another embodiment, scheduling is based upon Quality of Service (QoS) requirements for particular UEs (e.g. UEs used by subscribers that pay for a particular tier of service, guaranteeing certain throughput levels) or for particular types of data (e.g. video for a television service).
In a different embodiment, uplink (UL) receive antenna selection is applied to improve link quality. In this method, the UL channel quality is estimated at the VRM based on signaling information sent by the UEs (e.g., SRS, DMRS) and the VRM decides the best receive antennas for different UEs over the UL. Then the VRM assigns one receive antenna to every UE to improve its link quality. In a different embodiment, receive antenna selection is employed to reduce cross-interference between frequency bands due to the SC-FDMA scheme. One significant advantage of this method is that the UE would transmit over the UL only to the AP closest to its location. In this scenario, the UE can significantly reduce its transmit power to reach the closest AP, thereby improving battery life. In the same embodiment, different power scaling factors are utilized for the UL data channel and for the UL signaling channel. In one exemplary embodiment, the power of the UL signaling channel (e.g., SRS) is increased compared to the data channel to allow UL CSI estimation and MU-MAS precoding (exploiting UL/DL channel reciprocity in TDD systems) from many APs, while still limiting the power required for UL data transmission. In the same embodiment, the power levels of the UL signaling and UL data channels are adjusted by the VRM through DL signaling based on transmit power control methods that equalize the relative power to/from different UEs.
In a different embodiment, maximum ratio combining (MRC) is applied at the UL receiver to improve signal quality from every UE to the plurality of APs. In a different embodiment, zero-forcing (ZF) or minimum mean squared error (MMSE) or successive interference cancellation (SIC) or other non-linear techniques or the same precoding technique as for the DL precoding are applied to the UL to differentiate data streams being received simultaneously and within the same frequency band from different UEs' volumes of coherence. In the same embodiment, receive spatial processing is applied to the UL data channel (e.g., PUSCH) or UL control channel (e.g., 0) or both.
In one embodiment, the volume of coherence, or pCell, as described in above paragraph [0076] of a first UE is the volume in space wherein the signal intended for the first UE has high enough signal-to-interference-plus-noise ratio (SINR) that the data stream for the first UE can be demodulated successfully, while meeting predefined error rate performance. Thus, everywhere within the volume of coherence, the level of interference generated by data streams sent from the plurality of APs to the other UEs is sufficiently low that the first UE can demodulate its own data stream successfully.
In another embodiment, the volume of coherence or pCell is characterized by one specific electromagnetic polarization, such as linear, circular or elliptical polarization. In one embodiment, the pCell of a first UE is characterized by linear polarization along a first direction and the pCell of a second UE overlaps the pCell of the first UE and is characterized by linear polarization along a second direction orthogonal to the first direction of the first UE, such that the signals received at the two UEs do not interfere with one another. By way of example, but not limitation, a first UE pCell has linear polarization along the x-axis, a second UE pCell has linear polarization along the y-axis and a third UE pCell has linear polarization along the z-axis (wherein x-, y- and z-axes are orthogonal) such that the three pCells overlap (i.e., are centered at the same point in space) but the signals of the three UEs do not interfere because their polarizations are orthogonal.
In another embodiment, every pCell is uniquely identified by one location in three dimensional space characterized by (x,y,z) coordinates and by one polarization direction defined as linear combination of the three fundamental polarizations along the x-, y- and z-axes. As such, the present MU-MAS system is characterized by six degrees of freedom (i.e., three degrees of freedom from the location in space and three from the direction of polarization), which can be exploited to create a plurality of non-interfering pCells to different UEs.
In one embodiment, the VRIs, as described in above paragraph [0077], are independent execution instances that run on one or multiple processors. In another embodiment, every execution instance runs either on one processor, or on multiple processors in the same computer system, or on multiple processors in different computer systems connected through a network. In another embodiment, different execution instances run either on the same processor, or different processors in the same computer system, or multiple processors in different computer systems. In another embodiment, the processor is a central processing unit (CPU), or a core processor in a multi-core CPU, or an execution context in a hyper-threaded core processor, or a graphics processing unit (GPU), or a digital signal processor (DSP), or a field-programmable gate array (FPGA), or an application-specific integrated circuit.
Embodiments of the invention may include various steps, which have been described above. The steps may be embodied in machine-executable instructions which may be used to cause a general-purpose or special-purpose processor to perform the steps. Alternatively, these steps may be performed by specific hardware components that contain hardwired logic for performing the steps, or by any combination of programmed computer components and custom hardware components.
As described herein, instructions may refer to specific configurations of hardware such as application specific integrated circuits (ASICs) configured to perform certain operations or having a predetermined functionality or software instructions stored in memory embodied in a non-transitory computer readable medium. Thus, the techniques shown in the figures can be implemented using code and data stored and executed on one or more electronic devices. Such electronic devices store and communicate (internally and/or with other electronic devices over a network) code and data using computer machine-readable media, such as non-transitory computer machine-readable storage media (e.g., magnetic disks; optical disks; random access memory; read only memory; flash memory devices; phase-change memory) and transitory computer machine-readable communication media (e.g., electrical, optical, acoustical or other form of propagated signals—such as carrier waves, infrared signals, digital signals, etc.).
Throughout this detailed description, for the purposes of explanation, numerous specific details were set forth in order to provide a thorough understanding of the present invention. It will be apparent, however, to one skilled in the art that the invention may be practiced without some of these specific details. In certain instances, well known structures and functions were not described in elaborate detail in order to avoid obscuring the subject matter of the present invention. Accordingly, the scope and spirit of the invention should be judged in terms of the claims which follow.
This application claims the benefit of and priority to co-pending U.S. Provisional Patent Application No. 61/937,273, filed, Feb. 7, 2014, entitled, “Systems And Methods For Mapping Virtual Radio Instances Into Physical Areas Of Coherence In Distributed Antenna Wireless Systems”. This application is a continuation-in-part of the following four co-pending U.S. patent applications: U.S. application Ser. No. 13/844,355, entitled “Systems and Methods for Radio Frequency Calibration Exploiting Channel Reciprocity in Distributed Input Distributed Output Wireless Communications” U.S. application Ser. No. 13/797,984, entitled “Systems and Methods for Exploiting Inter-cell Multiplexing Gain in Wireless Cellular Systems Via Distributed Input Distributed Output Technology” U.S. application Ser. No. 13/797,971, entitled “Systems and Methods for Exploiting Inter-cell Multiplexing Gain in Wireless Cellular Systems Via Distributed Input Distributed Output Technology” U.S. application Ser. No. 13/797,950, entitled “Systems and Methods for Exploiting Inter-cell Multiplexing Gain in Wireless Cellular Systems Via Distributed Input Distributed Output Technology” This application may be related to the following U.S. patents and co-pending U.S. patent applications: U.S. application Ser. No. 14/156,254, entitled “System and Method For Distributed Antenna Wireless Communications” U.S. application Ser. No. 14/086,700, entitled “Systems and Methods for Exploiting Inter-cell Multiplexing Gain in Wireless Cellular Systems Via Distributed Input Distributed Output Technology” U.S. application Ser. No. 14/023,302, entitled “Systems And Methods To Coordinate Transmissions In Distributed Wireless Systems Via User Clustering” U.S. application Ser. No. 13/633,702, entitled “Systems and Methods for Wireless Backhaul in Distributed-Input Distributed-Output Wireless Systems” U.S. application Ser. No. 13/475,598, entitled “Systems and Methods to enhance spatial diversity in distributed-input distributed-output wireless systems” U.S. application Ser. No. 13/464,648, entitled “System and Methods to Compensate for Doppler Effects in Distributed-Input Distributed Output Systems” U.S. application Ser. No. 13/461,682, entitled “System and Method for Adjusting DIDO Interference Cancellation Based On Signal Strength Measurements” U.S. application Ser. No. 13/233,006, entitled “System and Methods for planned evolution and obsolescence of multiuser spectrum” U.S. application Ser. No. 13/232,996, entitled “Systems and Methods to Exploit Areas of Coherence in Wireless Systems” U.S. application Ser. No. 12/802,989, entitled “System And Method For Managing Handoff Of AClient Between Different Distributed-Input-Distributed-Output (DIDO) Networks Based On Detected Velocity Of The Client” U.S. application Ser. No. 12/802,988, entitled “Interference Management, Handoff, Power Control And Link Adaptation In Distributed-Input Distributed-Output (DIDO) Communication Systems” U.S. application Ser. No. 12/802,975, entitled “System And Method For Link adaptation In DIDO Multicarrier Systems” U.S. application Ser. No. 12/802,974, entitled “System And Method For Managing Inter-Cluster Handoff Of Clients Which Traverse Multiple DIDO Clusters” U.S. application Ser. No. 12/802,958, entitled “System And Method For Power Control And Antenna Grouping In ADistributed-Input-Distributed-Output (DIDO) Network” U.S. Pat. No. 8,654,815, issued Feb. 18, 2014, entitled “System and Method for Distributed Input Distributed Output Wireless Communications” U.S. Pat. No. 8,571,086, issued Oct. 29, 2013, entitled “System and Method for DIDO Precoding Interpolation in Multicarrier Systems” U.S. Pat. No. 8,542,763, issued Sep. 24, 2013, entitled “Systems and Methods To Coordinate Transmissions In Distributed Wireless Systems Via User Clustering” U.S. Pat. No. 8,469,122, issued Jun. 25, 2013, entitled “System and Method for Powering Vehicle Using Radio Frequency Signals and Feedback” U.S. Pat. No. 8,428,162, issued Apr. 23, 2013, entitled “System and Method for Distributed Input Distributed Output Wireless Communications” U.S. Pat. No. 8,307,922, issued Nov. 13, 2012, entitled “System and Method for Powering an Aircraft Using Radio Frequency Signals and Feedback”; U.S. Pat. No. 8,170,081, issued May 1, 2012, entitled “System And Method For Adjusting DIDO Interference Cancellation Based On Signal Strength Measurements” U.S. Pat. No. 8,160,121, issued Apr. 17, 2012, entitled, “System and Method For Distributed Input-Distributed Output Wireless Communications”; U.S. Pat. No. 7,885,354, issued Feb. 8, 2011, entitled “System and Method For Enhancing Near Vertical Incidence Skywave (“NVIS”) Communication Using Space-Time Coding.” U.S. Pat. No. 7,711,030, issued May 4, 2010, entitled “System and Method For Spatial-Multiplexed Tropospheric Scatter Communications”; U.S. Pat. No. 7,636,381, issued Dec. 22, 2009, entitled “System and Method for Distributed Input Distributed Output Wireless Communication”; U.S. Pat. No. 7,633,994, issued Dec. 15, 2009, entitled “System and Method for Distributed Input Distributed Output Wireless Communication”; U.S. Pat. No. 7,599,420, issued Oct. 6, 2009, entitled “System and Method for Distributed Input Distributed Output Wireless Communication”; U.S. Pat. No. 7,451,839, issued Nov. 18, 2008, entitled “System and Method for Powering a Vehicle Using Radio Frequency Generators”; U.S. Pat. No. 7,418,053, issued Aug. 26, 2008, entitled “System and Method for Distributed Input Distributed Output Wireless Communication”;
Number | Date | Country | |
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61937273 | Feb 2014 | US |