System and method for power control and antenna grouping in a distributed-input-distributed-output (DIDO) network
A system and machine-implemented method are described for adjusting communication with a first distributed-input-distributed-output (DIDO) client. For example, a method according to one embodiment of the invention comprises: applying DIDO weights to one or more data streams to generate one or more DIDO precoded data streams; receiving input channel quality information (CQI) and/or channel state information (CSI) related to DIDO communication channels over which the DIDO precoded data streams are to be transmitted; determining a power scaling factor based on the CQI and/or CSI; and applying the power scaling factor to each of the DIDO precoded data streams.
1. A machine-implemented method for adjusting communication in a wireless transmission system comprised of a multiple antenna system (MAS) with multi-user (MU) transmission (“MU-MAS”) network comprising a plurality of distributed antennas or wireless transceiver stations distributed throughout a cell or coverage area, and a plurality of client devices or users, the method comprising:
applying MU-MAS precoding weights to one or more data streams to generate one or more precoded data streams;
receiving input channel quality information (CQI) and/or channel state information (CSI) related to communication channels over which the precoded data streams are to be transmitted from the plurality of distributed antennas;
determining a plurality of power scaling factors for the distributed antennas based on the CQI and/or CSI; and
applying the power scaling factors to the precoded data streams following precoding in a way that every power scaling factor is applied to one of the plurality of distributed antennas;
wherein the power scaling factor is applied to each of the data streams sent to every MU-MAS antenna and is dynamically adjusted such that an instantaneous per-antenna transmit power may rise above predefined maximum permissible exposure (MPE) limits but the average per-antenna power is maintained below the MPE limits.
2. The method as in claim 1 further comprising transmitting from M distributed antennas to create up to (M−1) points of zero RF energy.
3. The method as in claim 2 wherein the points of zero RF energy correspond to the location of users and MU-MAS precoding is used to create points of zero RF energy to the users.
4. The method as in claim 3 wherein points of zero RF energy are created to remove interference between adjacent clusters of distributed antennas.
5. The method as in claim 1 wherein the distributed antennas are aware of the channel state information between the transmitters and the receivers, and the transmitters utilize the channel state information to determine interfering signals to be simultaneously transmitted.
6. The method as in claim 5 using block diagonalization precoding.
7. A machine-implemented method for adjusting communication in a wireless transmission system comprised of a multiple antenna system (MAS) with multi-user (MU) transmission (“MU-MAS”) network comprising a plurality of distributed antennas or wireless transceiver stations distributed throughout a cell or coverage area, and a plurality of client devices or users, the method comprising:
receiving channel state information (CSI) and/or channel quality information (CQI);
selecting a plurality of groups of antennas from the plurality of distributed antennas, thereby forming a cluster based on the CSI or CQI;
applying MU-MAS precoding weights to generate one or more precoded data streams within every group of antennas based on the CSI and/or CQI; and
determining a plurality of power scaling factors for the distributed antennas based on the CQI and/or CSI;
wherein the power scaling factor is applied to each of the data streams sent to every MU-MAS antenna and is dynamically adjusted such that an instantaneous per-antenna transmit power may rise above predefined maximum permissible exposure (MPE) limits but the average per-antenna power is maintained below the MPE limits.
8. The method as in claim 7 further comprising transmitting from M distributed antennas to create up to (M−1) points of zero RF energy.
9. The method as in claim 7 wherein the distributed antennas are aware of the channel state information between the transmitters and the receivers, and the transmitters utilize the channel state information to determine interfering signals to be simultaneously transmitted.
10. The method as in claim 9 using block diagonalization precoding.
11. The method as in claim 7 wherein the points of zero RF energy correspond to the location of users and MU-MAS precoding is used to create points of zero RF energy to the users.
12. The method as in claim 11 wherein points of zero RF energy are created to remove interference between adjacent clusters of distributed antennas.