Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/137166
Title: Physical layer security in heterogeneous networks with pilot attack : a stochastic geometry approach
Authors: Wang, Wei
Teh, Kah Chan
Luo, Sheng
Li, Kwok Hung
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2018
Source: Wang, W., Teh, K. C., Luo, S., & Li, K. H. (2018). Physical layer security in heterogeneous networks with pilot attack : a stochastic geometry approach. IEEE Transactions on Communications, 66(12), 6437-6449. doi:10.1109/TCOMM.2018.2859954
Journal: IEEE Transactions on Communications
Abstract: In this paper, we investigate physical layer security in a two-tier heterogeneous network with sub-6 GHz massive multi-input multi-output (MIMO) macro cells and millimeter wave (mmWave) small cells. By considering pilot attacks from the eavesdroppers, we analyze the coverage and secrecy performance using stochastic geometry. For the sub-6 GHz tier, we show that increasing the number of BS antennas is more effective than increasing BS density in improving the coverage performance, whereas densifying BS is more effective for security enhancement. For the mmWave tier, we first derive the success probability of beam alignment based on a beam sweeping-based channel training model. It is shown that the mmWave tier may outperform the sub-6 GHz counterpart in terms of both coverage and secrecy through densifying the base stations. Our results also reveal that the mmWave small cell can provide better coverage performance in the high transmission rate region, and can achieve higher security in the low redundant rate region, which reveals the advantage of using mmWave for secure communication. Numerical results verify the analysis.
URI: https://hdl.handle.net/10356/137166
ISSN: 0090-6778
DOI: 10.1109/TCOMM.2018.2859954
Rights: © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/TCOMM.2018.2859954
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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