초록 ▼

A system and method are described for adjusting communication with a first distributed-input-distributed-output (DIDO) client. For example, a method according to one embodiment comprises: sending RF energy to the DIDO client from one or more antennas of a DIDO network; estimating a current velocity

A system and method are described for adjusting communication with a first distributed-input-distributed-output (DIDO) client. For example, a method according to one embodiment comprises: sending RF energy to the DIDO client from one or more antennas of a DIDO network; estimating a current velocity of the DIDO client; and assigning the client to a particular DIDO network based on the estimated velocity of the client.

대표청구항 ▼

1. A machine-implemented method within a plurality of multiuser (MU) multiple antenna system (MU-MAS) networks, each with different network characteristics relative to a user device velocity, for adjusting communication between a plurality of distributed antennas or wireless transceiver devices dist

1. A machine-implemented method within a plurality of multiuser (MU) multiple antenna system (MU-MAS) networks, each with different network characteristics relative to a user device velocity, for adjusting communication between a plurality of distributed antennas or wireless transceiver devices distributed throughout a cell or coverage area and a plurality of client devices, the method comprising: sending radio frequency (RF) energy between the plurality of distributed antennas and the plurality of client devices:creating a plurality of simultaneous non-interfering data streams within the same frequency band between the distributed antennas and the client devices via precoding;estimating a current velocity of a first client device of the plurality of client devices; andassigning the first client device to a first network of the plurality of MU-MAS networks having first network characteristics based on the estimated velocity of the first client device, the plurality of MU-MAS networks including at least a second network having second network characteristics. 2. The method as in claim 1, wherein the RF energy is used to estimate the current velocity for the first client device by estimating Doppler shift. 3. The method as in claim 2, wherein the Doppler shift is calculated using the RF energy reflected from the antennas to the first client device and back to the antennas using blind estimation techniques. 4. The method as in claim 2, wherein the RF energy consists of training signals and the Doppler shift is calculated using the training signals. 5. The method as in claim 1, wherein if the first client device's velocity is above a specified threshold, then assigning the first client device to a first MU-MAS network communicating with high velocity client devices and if the first client device's velocity is below the specified threshold, then assigning the first client device to a second MU-MAS network. 6. The method as in claim 5, wherein the first MU-MAS network comprises a plurality of base station transceivers (BTSs) connected through a BTS network having a first average latency and wherein the second MU-MAS network comprises a plurality of BTSs connected through a BTS network having a second average latency, the second average latency lower than the first average latency. 7. The method as in claim 1, further comprising implementing MU-MAS precoding with inter-MU-MAS-cluster interference cancellation at one or more of the distributed antennas in an interfering MU-MAS cluster to create zero RF energy at a location of the first client device. 8. The method as in claim 7, wherein M distributed transmitting antennas in the interfering MU-MAS cluster create up to (M−1) points of zero RF energy. 9. The method as in claim 7, wherein the MU-MAS is aware of channel state information between the distributed antennas and the client devices, and the MU-MAS utilizes the channel state information to determine a plurality of interfering signals to be simultaneously transmitted. 10. The method as in claim 9, wherein the zero RF energy uses block diagonalization precoding. 11. The method as in claim 1, wherein the MU-MAS comprises a subset of antennas and the MU-MAS employs antenna selection to assign the first client device to the subset of antennas. 12. The method as in claim 1, wherein the different network characteristics include a latency associated with each of the plurality of MU-MAS networks. 13. A system comprising: a plurality of multiuser (MU) multiple antenna system (MU-MAS) networks, each with different network characteristics relative to a user device velocity; for adjusting communication between a plurality of distributed antennas or wireless transceiver devices distributed throughout a cell or coverage area and a plurality of client devices;radio frequency (RF) transmitters of the MU-MAS networks to send radio frequency (RF) energy between the plurality of distributed antennas and the plurality of client devices;logic to create a plurality of simultaneous non-interfering data streams within the same frequency band between the distributed antennas and the client devices via precoding;at least one client device of the plurality of client devices or one or more distributed antennas of the MU-MAS networks configured to perform operations to estimate a current velocity of a first client device; andthe first client device to be assigned to a particular one of the plurality of MU-MAS networks having first network characteristics based on the estimated velocity of the first client device, the plurality of MU-MAS networks including at least a second network having second network characteristics. 14. The system as in claim 13, wherein the RF energy is used to estimate the current velocity for the first client device by estimating Doppler shift. 15. The system as in claim 14, wherein the Doppler shift is calculated using the RF energy reflected from the antennas to the first client device and back to the antennas using blind estimation techniques. 16. The system as in claim 14, wherein the RF energy consists of training signals and the Doppler shift is calculated using the training signals. 17. The system as in claim 13, wherein if the first client device's velocity is above a specified threshold, then assigning the first client device to a first MU-MAS network communicating with high velocity client devices and if the first client device's velocity is below the specified threshold, then assigning the first client device to a second MU-MAS network. 18. The system as in claim 17, wherein the first MU-MAS network comprises a plurality of base station transceivers (BTSs) connected through a BTS network having a first average latency and wherein the second MU-MAS network comprises a plurality of BTSs connected through a BTS network having a second average latency, the second average latency lower than the first average latency. 19. The system as in claim 13, further comprising implementing MU-MAS precoding with inter-MU-MAS-cluster interference cancellation at one or more of the distributed antennas in an interfering MU-MAS cluster to create zero RF energy at a location of the first client device. 20. The system as in claim 19, wherein M distributed transmitting antennas in the interfering MU-MAS cluster create up to (M−1) points of zero RF energy. 21. The system as in claim 19, wherein the BTSs are aware of channel state information between the distributed antennas and the client devices, and the BTSs utilize the channel state information to determine a plurality of interfering signals to be simultaneously transmitted. 22. The system as in claim 21, wherein the zero RF energy uses block diagonalization precoding. 23. The system as in claim 13, wherein the MU-MAS comprises a subset of antennas and the MU-MAS employs an antenna selection to assign the first client device to the subset of antennas. 24. The system as in claim 13, wherein the different network characteristics include a latency associated with each of the plurality of MU-MAS networks.