Antenna selection in MIMO cognitive radio-inspired NOMA systems

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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...

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Bibliographic Details
Main Authors:	Yu, Yu, Chen, H., Li, Y., Ding, Z., Zhuo, L.
Format:	Journal Article
Published:	IEEE Communications Society 2017
Online Access:	http://hdl.handle.net/20.500.11937/70143

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