Cooperative multiple beam transmission
View Patent ↗Briefly, in accordance with one or more embodiments, cooperation of multiple beams for transmission is provided by identifying at least two beams among multiple beams that are dominant for a user, determining if there is any beam collision between the at least two beams, and, if there is beam collision between the at least two beams, delaying scheduling on one or more weaker ones of the at least two beams for other users and combining the two or more beams for transmission to the user. Alternatively, cooperation of multiple beams for transmission is provided by, if there is beam collision between the at least two beams, muting one or more weaker ones of the at least two beams and transmitting to the user with a stronger one of the at least two beams.
1. An enhanced Node B (eNB) to provide cooperation of multiple beams for transmission, comprising:
a transceiver to transmit multiple beams to serve a user equipment (UE); and
a processor coupled to the transceiver to:
identify a strongest beam for transmission from the eNB to the UE and two additional beams among multiple beams that are dominant for the UE;
determine if there is any beam collision between the strongest beam and at least one of the two additional beams; and
in response to a determination that there is no beam collision between the strongest beam and at least one of the two additional beams, select the strongest beam for transmission from the eNB to the UE; or
in response to a determination that there is beam collision between the strongest beam and at least one of the two additional beams, delay scheduling on one or more of the two additional beams for other users.
2. The eNB of claim 1 , wherein the processor is further configurable to:
perform two-dimensional (2D) subsampling of a subset of a total number of antennas available for transmission for training to approximate a channel, and interpolate the approximate channel to arrive at an estimate of the channel for the total number of antennas.
3. The eNB of claim 2 , wherein the processor is further configurable to repeat the 2D subsampling with a new subset of the total number of antennas if said interpolating is too coarse.
4. The eNB of claim 2 , wherein the processor is further configurable to identify the two additional beams based at least in part on an extent of alignment between the estimate of the channel and a fixed basis function to generate the two additional beams.
5. The eNB of claim 1 , wherein the processor is further configurable to identify the two additional beams by performing a horizontal channel mapping and a vertical channel mapping and combining the horizontal and vertical channel mappings to arrive at a compound channel for an entirety of an array of antennas.
6. The eNB of claim 5 , wherein the horizontal channel mapping and the vertical channel mapping occur in consecutive subframes.
7. The eNB of claim 5 , wherein the horizontal channel mapping and the vertical channel mapping occur in different frequency bands in a same subframe.
8. The eNB of claim 5 , wherein the processor is further configurable to identify the two additional beams based at least in part on an extent of alignment between the compound channel and a fixed basis function to generate the two additional beams.
9. An enhanced Node B (eNB) to provide cooperation of multiple beams for transmission, comprising:
a transceiver to transmit multiple beams to serve a user equipment (UE); and
a processor coupled to the transceiver to:
identify a strongest beam for transmission from the eNB to the UE and two additional beams among multiple beams that are dominant for the UE;
determine if there is any beam collision between the strongest beam and at least one of the two additional beams; and
in response to a determination that there is no beam collision between the strongest beam and at least one of the two additional beam, select the strongest beam for transmission from the eNB to the UE; or
in response to a determination that there is beam collision between the strongest beam and at least one of the two additional beams, mute one or more of the two additional beams.
10. The eNB of claim 9 , wherein the processor is further configurable to identify the at least two or more beams by performing two-dimensional (2D) subsampling of a subset of a total number of antennas available for transmission for training to approximate a channel, and interpolating the approximate channel to arrive at an estimate of the channel for the total number of antennas.
11. The eNB of claim 10 , wherein the processor is further configurable to repeating the subsampling with a new subset of the total number of antennas if the interpolation is too coarse.
12. The eNB of claim 10 , wherein the processor is further configurable to identify the at least two or more beams based at least in part on an extent of alignment between the estimate of the channel and a fixed basis function to generate the at least two or more beams.
13. The eNB of claim 9 , wherein the processor is further configurable to identify the two additional beams by performing a horizontal channel mapping and a vertical channel mapping and combining the horizontal and vertical channel mappings to arrive at a compound channel for an entirety of an array of antennas.
14. The eNB of claim 13 , wherein the horizontal channel mapping and the vertical channel mapping occur in consecutive subframes.
15. The eNB of claim 13 , wherein the horizontal channel mapping and the vertical channel mapping occur in different frequency bands in a same subframe.
16. The eNB of claim 13 , wherein the processor is further configurable to identify the two additional beams based at least in part on an extent of alignment between the compound channel and a fixed basis function to generate the at least two or more beams.
17. A non-transitory machine-readable medium having instructions stored thereon that, when executed on a processor in an enhanced Node B (eNB), provide cooperation of multiple beams for transmission to a user equipment (UE), by:
identifying a strongest beam for transmission from the eNB to the UE and two additional beams among multiple beams that are dominant for the UE;
determining if there is any beam collision between the strongest beam and at least one of the two additional beams; and
in response to a determination that there is no beam collision between the strongest beam and at least one of the two additional beam, selecting the strongest beam for transmission from the eNB to the UE; or;
in response to a determination that there is beam collision between the strongest beam and at least one of the two additional beams, delaying scheduling on one or more of the two additional beams for other users.
18. The non-transitory machine-readable medium of claim 17 , wherein the instructions, if executed, further result in:
if there is no beam collision between the two additional beams, transmitting to the user with a stronger one of the two additional beams.
19. The non-transitory machine-readable medium of claim 17 , wherein said identifying comprises performing two-dimensional (2D) subsampling of a subset of a total number of antennas available for transmission for training to approximate a channel, and interpolating the approximate channel to arrive at an estimate of the channel for the total number of antennas.
20. The non-transitory machine-readable medium of claim 19 , wherein the instructions, if executed, further result in, if said interpolating is too coarse, repeating said performing of a new subset of the total number of antennas.
21. The non-transitory machine-readable medium of claim 19 , wherein said identifying is based at least in part on an extent of alignment between the estimate of the channel and a fixed basis function to generate the at least two or more beams.
22. The non-transitory machine-readable medium of claim 17 , wherein said identifying comprises performing a horizontal channel mapping and a vertical channel mapping and combining the horizontal and vertical channel mappings to arrive at a compound channel for an entirety of an array of antennas.
23. The non-transitory machine-readable medium of claim 22 , wherein the horizontal channel mapping and the vertical channel mapping occur in consecutive subframes.
24. The non-transitory machine-readable medium of claim 22 , wherein the horizontal channel mapping and the vertical channel mapping occur in different frequency bands in a same subframe.
25. The non-transitory machine-readable medium of claim 22 , wherein said identifying is based at least in part on an extent of alignment between the compound channel and a fixed basis function to generate the at least two or more beams.
26. A non-transitory machine-readable medium having instructions stored thereon that, when executed on a processor in an enhanced Node B (eNB), provide cooperation of multiple beams for transmission to a user equipment (UE), by:
identifying a strongest beam for transmission from the eNB to the UE and two additional beams among multiple beams that are dominant for the UE;
determining if there is any beam collision between the strongest beam and at least one of the two additional beams; and
in response to a determination that there is no beam collision between the strongest beam and at least one of the two additional beam, selecting the strongest beam for transmission from the eNB to the UE; or
in response to a determination that there is beam collision between the strongest beam and at least one of the two additional beams, muting one or more of the two additional beams.
27. The non-transitory machine-readable medium of claim 26 , wherein said identifying comprises performing two-dimensional (2D) subsampling of a subset of a total number of antennas available for transmission for training to approximate a channel, and interpolating the approximate channel to arrive at an estimate of the channel for the total number of antennas.
28. The non-transitory machine-readable medium of claim 27 , wherein the instructions, if executed, further result in, if said interpolating is too coarse, repeating said performing of a new subset of the total number of antennas.
29. The non-transitory machine-readable medium as claimed in claim 26 , wherein said identifying is based at least in part on an extent of alignment between the estimate of the channel and a fixed basis function to generate the at least two or more beams.
30. The non-transitory machine-readable medium of claim 26 , wherein said identifying comprises performing a horizontal channel mapping and a vertical channel mapping and combining the horizontal and vertical channel mappings to arrive at a compound channel for an entirety of an array of antennas.
31. The non-transitory machine-readable medium of claim 30 , wherein the horizontal channel mapping and the vertical channel mapping occur in consecutive subframes.
32. The non-transitory machine-readable medium of claim 30 , wherein the horizontal channel mapping and the vertical channel mapping occur in different frequency bands in a same subframe.
33. The non-transitory machine-readable medium of claim 30 , wherein said identifying is based at least in part on an extent of alignment between the compound channel and a fixed basis function to generate the at least two or more beams.