Antenna selection in MIMO cognitive radio-inspired NOMA systems
This letter investigates a joint antenna selection (AS) problem for a MIMO cognitive radio-inspired non-orthogonal multiple access network. In particular, a new computationally efficient joint AS algorithm, namely subset-based joint AS (SJ-AS), is proposed to maximize the signal-to-noise ratio of th...
| Main Authors: | , , , , |
|---|---|
| Format: | Journal Article |
| Published: |
IEEE Communications Society
2017
|
| Online Access: | http://hdl.handle.net/20.500.11937/70143 |