Secure Massive MIMO Systems With Limited RF Chains
In future practical deployments of massive multi-input multi-output (MIMO) systems, the number of radio-frequency (RF) chains at the base stations (BSs) may be much smaller than the number of BS antennas to reduce the overall expenditure. In this correspondence, the authors propose a novel design framework for joint data and artificial noise (AN) precoding in a multiuser massive MIMO system with limited number of RF chains, which improves the wireless security performance. With imperfect channel state information (CSI), the authors analytically derive an achievable lower bound on the ergodic secrecy rate of any mobile terminal (MT) for both analog and hybrid precoding schemes. The closed-form lower bound is used to determine optimal power splitting between data and AN that maximizes the secrecy rate through simple 1-D search. Analytical and numerical results together reveal that the proposed hybrid precoder, although suffering from reduced secrecy rate compared with the theoretical full-dimensional precoder, is free of the high computational complexity of large-scale matrix inversion and null-space calculations and largely reduces the hardware cost.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/00189545
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Supplemental Notes:
- Copyright © 2017, IEEE.
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Authors:
- Zhu, Jun
- Xu, Wei
- Wang, Ning
- Publication Date: 2017-6
Language
- English
Media Info
- Media Type: Web
- Features: Figures; References; Tables;
- Pagination: pp 5455-5460
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Serial:
- IEEE Transactions on Vehicular Technology
- Volume: 66
- Issue Number: 6
- Publisher: Institute of Electrical and Electronics Engineers (IEEE)
- ISSN: 0018-9545
- Serial URL: http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=25
Subject/Index Terms
- TRT Terms: Antennas; Coding systems; Interference; Phased arrays; Radio frequency; Radio links; Security; Telecommunications; Wireless communication systems
- Uncontrolled Terms: Multiple-input multiple-output systems (MIMO)
- Subject Areas: Data and Information Technology; Security and Emergencies; Transportation (General);
Filing Info
- Accession Number: 01645050
- Record Type: Publication
- Files: TRIS
- Created Date: Aug 29 2017 11:58AM