Mmwave massive MIMO: one joint beam selection combining cuckoo search and ant colony optimization

Author:

Zhu Chunhua,Ji Qinwen,Guo Xinying,Zhang Jiankang

Abstract

AbstractIn 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.

Funder

National Natural Science Foundation of China

the Applied Research Plan of key Scientific Research Project for Henan Colleges and Universitie

the Open Subject of Scientifific Research Platform in Grain Information Processing Center

the Innovative Funds Plan of Henan University of Technology

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Computer Science Applications,Signal Processing

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