4.7 Article

Cell-Free Massive MIMO Networks: Optimal Power Control Against Active Eavesdropping

期刊

IEEE TRANSACTIONS ON COMMUNICATIONS
卷 66, 期 10, 页码 4724-4737

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCOMM.2018.2837132

关键词

Cell-free; channel estimation; pilot spoofing attack; active eavesdropping; inner convex approximation

资金

  1. U.K. Royal Academy of Engineering Research Fellowship [RF1415/14/22]
  2. U.K. Engineering and Physical Sciences Research Council [EP/P019374/1]
  3. Research Environment Links, under the Newton Programme Vietnam Partnership Grant [339568416]
  4. Newton Prize 2017
  5. EPSRC [EP/P019374/1] Funding Source: UKRI

向作者/读者索取更多资源

This paper studies the security aspect of a recently introduced cell-free massive MIMO network under a pilot spoofing attack. First, a simple method to recognize the presence of this type of an active eavesdropping attack to a particular user is shown. In order to deal with this attack, we consider the problem of maximizing the achievable data rate of the attacked user or its achievable secrecy rate. The corresponding problems of minimizing the power consumption subject to security constraints are also considered in parallel. Path-following algorithms are developed to solve the posed optimization problems under different power allocation to access points (APs). Under equippower allocation to APs, these optimization problems admit closed-form solutions. Numerical results show their efficiency.

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