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Abstract
In order to degrade the inter-user interference caused by the same beam selected for different users in mmWave massive MIMO systems, this paper proposes a joint beam selection combining cuckoo search (CS) and ant colony optimization (ACO) (referred to as CSACO). Differently from the existing interference-aware beam selection, a candidate beam set (CBS) for all users is created according to the power distribution of the beamspace channel, thereby all users can be classified into non-interfering users (NIUs) and interfering users (IUs), and NIUs will be assigned the beams with large power directly, while for IUs, the beams are selected by the CSACO; in the proposed CSACO, all beams for IUs are regarded as an optimizable individual, which is continuously evolved towards the direction of sum-rate maximization. Simulation results verify that the proposed beam selection can obtain the higher sum-rate and energy efficiency compared with the existing ones.
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Details
1 The Key Laboratory of Grain Information Processing and Control, Zhengzhou, China; Henan University of Technology, The Henan Key Laboratory of Grain Photoelectric Detection and Control, Zhengzhou, China (GRID:grid.412099.7) (ISNI:0000 0001 0703 7066); Henan University of Technology, Henan Engineering Laboratory of Grain Condition Intelligent Detection and Application, Zhengzhou, China (GRID:grid.412099.7) (ISNI:0000 0001 0703 7066)
2 The Key Laboratory of Grain Information Processing and Control, Zhengzhou, China (GRID:grid.412099.7); Henan University of Technology, The Henan Key Laboratory of Grain Photoelectric Detection and Control, Zhengzhou, China (GRID:grid.412099.7) (ISNI:0000 0001 0703 7066); Henan University of Technology, Henan Engineering Laboratory of Grain Condition Intelligent Detection and Application, Zhengzhou, China (GRID:grid.412099.7) (ISNI:0000 0001 0703 7066)
3 Bournemouth University, Department of Computing and Informatics, Poole, UK (GRID:grid.17236.31) (ISNI:0000 0001 0728 4630)