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Zero-forcing beamforming for active and passive eavesdropper mitigation in visible light communication systems

Abstract:
This paper proposes zero-forcing (ZF) beamforming strategies that can simultaneously deal with active and passive eavesdroppers in visible light communication (VLC) systems. First, we propose a ZF beamforming scheme that steers a transmission beam to the null space of active eavesdroppers’ (AEDs) channel, while simultaneously considering the SNRs for a legitimate user (UE) and passive eavesdroppers (PEDs) residing at unknown locations. To find an eigenmode related to the optimal beamforming vector, we adopt an inverse free preconditioned Krylov subspace projection method. For unfavorable VLC secrecy environments, the proposed ZF beamformer appears to be incapable of effectively coping with the PEDs due to the strict condition that the data transmission must be in the null space of the AEDs’ channel matrix. Hence, an alternative beamforming scheme is proposed by relaxing the constraint on the SNRs of the AEDs. The related optimization problem is formulated to reduce the secrecy outages caused by PEDs, while simultaneously satisfying the target constraints on the SNRs of the UE and the AEDs. To simplify the mathematical complexity of the approach, Lloyd’s algorithm is employed to sample the SNR field, which in turn discretizes the problem, thus making it tractable for practical implementation. The numerical results show that both the exact and relaxed ZF beamforming methods achieve superior performance in the sense of secrecy outage relative to a benchmark ZF scheme. Moreover, the proposed relaxed ZF beamforming method is shown to cope with PEDs better than the exact ZF beamforming approach for unfavorable VLC environments.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1109/TIFS.2020.3036806

Authors


More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Oxford college:
Wolfson College
Role:
Author
ORCID:
0000-0002-9924-822X
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
ORCID:
0000-0002-9623-5087


Publisher:
Institute of Electrical and Electronics Engineers
Journal:
IEEE Transactions on Information Forensics and Security More from this journal
Volume:
16
Pages:
1495-1505
Publication date:
2020-11-09
Acceptance date:
2020-10-09
DOI:
EISSN:
1556-6021
ISSN:
1556-6013


Language:
English
Keywords:
Pubs id:
1136658
Local pid:
pubs:1136658
Deposit date:
2020-10-09

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