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Greedy Search-Based Optimal Transmit Antenna Selection for Massive MIMOME Channels

Authors
Seo, DongminSon, Hyukmin
Issue Date
Jul-2021
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Keywords
Massive MIMOME channel; physical layer security; transmit antenna selection
Citation
IEEE COMMUNICATIONS LETTERS, v.25, no.7, pp.2151 - 2155
Journal Title
IEEE COMMUNICATIONS LETTERS
Volume
25
Number
7
Start Page
2151
End Page
2155
URI
https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/84676
DOI
10.1109/LCOMM.2021.3074656
ISSN
1089-7798
Abstract
The conventional transmit antenna selection in massive multiple-input multiple-output multiple antenna eavesdropper (MIMOME) channels has been focused on the optimal transmit antenna selection corresponding to a given number of transmit antennas to select. To maximize the secrecy capacity, the antenna selection should be optimized considering the number of transmit antennas to select. In this letter, we propose the greedy search based optimal transmit antenna selection (G-OTAS) algorithm to maximize the secrecy capacity by pursuing the optimal number of transmit antennas in massive MIMOME channels. Throughout the simulation and numerical results, it is demonstrated that the proposed G-OTAS algorithm maximizes the secrecy capacity and effectively reduces the computational complexity compared to those of the reference schemes.
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Son, Hyukmin
반도체대학 (반도체·전자공학부)
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