Secure downlink transmission with finite resolution analog beamforming in massive multiple-input multiple-output system
Author(s) -
Xianyu Zhang,
Daoxing Guo,
Kongzhe Yang,
Silin Xie
Publication year - 2018
Publication title -
international journal of distributed sensor networks
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.324
H-Index - 53
eISSN - 1550-1477
pISSN - 1550-1329
DOI - 10.1177/1550147718802254
Subject(s) - beamforming , computer science , ergodic theory , telecommunications link , artificial noise , transmission (telecommunications) , upper and lower bounds , secrecy , base station , signal to noise ratio (imaging) , mathematical optimization , topology (electrical circuits) , transmitter , telecommunications , mathematics , mathematical analysis , channel (broadcasting) , computer security , combinatorics
To reduce the number of radio-frequency chains of base station, the use of finite resolution analog beamforming is desirbale in massive multiple-input multiple-output system. This article investigates the secure downlink massive multiple-input multiple-output data transmission with artificial noise at base station in the presence of a multi-antenna passive eavesdropper. The achievable user’s ergodic information rate and ergodic capacity of the eavesdropper are analyzed in detail, respectively. With maximum ratio transmission or maximum ratio combining, we derive closed-form expressions for a tight lower bound on ergodic secrecy rate and tight upper bound for secrecy outage probability. Based on these analytical expressions, the effects of various system parameters on secrecy performance, such as power allocation factor, number of eavesdropper’s antennas, number of the user terminals, total transmission power, and finite resolution analog beamforming parameters, are investigated in detail. Also, the optima...
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