Mmwave massive MIMO: one joint beam selection combining cuckoo search and ant colony optimization
Authors: Zhu, C., Ji, Q., Guo, X. and Zhang, J.
Journal: Eurasip Journal on Wireless Communications and Networking
Volume: 2023
Issue: 1
eISSN: 1687-1499
ISSN: 1687-1472
DOI: 10.1186/s13638-023-02272-1
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.
https://eprints.bournemouth.ac.uk/38852/
Source: Scopus
Mmwave massive MIMO: one joint beam selection combining cuckoo search and ant colony optimization
Authors: Zhu, C., Ji, Q., Guo, X. and Zhang, J.
Journal: EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING
Volume: 2023
Issue: 1
eISSN: 1687-1499
ISSN: 1687-1472
DOI: 10.1186/s13638-023-02272-1
https://eprints.bournemouth.ac.uk/38852/
Source: Web of Science (Lite)
Mmwave massive MIMO: one joint beam selection combining cuckoo search and ant colony optimization
Authors: Zhu, C., Ji, Q., Guo, X. and Zhang, J.
Journal: EURASIP Journal on Wireless Communications and Networking
Volume: 2023
ISSN: 1687-1472
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.
https://eprints.bournemouth.ac.uk/38852/
Source: BURO EPrints