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Sum‐rate maximization in uplink cell‐free massive multiinput multioutput system with jamming
Author(s) -
Zhang Yao,
Zhou Meng,
Cao Haotong,
Yang Longxiang,
Zhu Hongbo
Publication year - 2020
Publication title -
transactions on emerging telecommunications technologies
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.366
H-Index - 47
ISSN - 2161-3915
DOI - 10.1002/ett.4044
Subject(s) - jamming , telecommunications link , lagrange multiplier , maximization , computer science , estimator , mathematical optimization , iterative method , power (physics) , control theory (sociology) , algorithm , mathematics , telecommunications , control (management) , statistics , physics , quantum mechanics , artificial intelligence , thermodynamics
This article takes the first look at jamming attacks on both uplink training and data transmission phases in uplink cell‐free massive multi‐input multi‐output systems. Closed‐form rate expressions for that system are derived, which provide us with the opportunities to analyze the achievable rate in the presence of jamming. To compensate for the sum‐rate degradation caused by jamming, we propose an iterative sum‐rate maximization power control algorithm without redesigning the estimator and receiver. Specifically, by virtue of the Lagrange multiplier methodology, the proposed algorithm can determine the closed‐form solution to each iteration and thus, benefiting from less runtime. Simulation results reveal the effectiveness of the proposed algorithm.