University of Oulu

M. Zhang, M. Ding, L. Gui, H. Luo and M. Bennis, "Sum Secrecy Rate Maximization for Relay-Aided Multiple-Source Multiple-Destination Networks," in IEEE Transactions on Vehicular Technology, vol. 66, no. 5, pp. 4098-4109, May 2017. doi: 10.1109/TVT.2016.2609934

Sum secrecy rate maximization for relay-aided multiple-source multiple-destination networks

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Author: Zhang, Meng1; Ding, Ming2; Gui, Lin1;
Organizations: 1Department of Electronic En- gineering, Shanghai Jiao Tong University, Shanghai 200030, China
2Data61, Sydney, NSW 2612, Australia
3Department of Electrical Engineering, University of Oulu, Oulu 90570, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 1.3 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2018080733485
Language: English
Published: Institute of Electrical and Electronics Engineers, 2017
Publish Date: 2018-08-07
Description:

Abstract

This paper studies a multiple-source multiple-destination network with the presence of multiple eavesdroppers, in which an amplify-and-forward (AF) relay is used to bridge the communication between the source-destination pairs to overcome the long-distance attenuation. Considering the physical-layer security issues, we aim to maximize the sum secrecy rate subject to the relay power constraint and the quality-of-service (QoS) requirements for legitimate user equipment. First, we propose an algorithm based on the monotonic optimization and the semidefinite programming (MO-SDP). Simulation results show that our proposed MO-SDP algorithm exhibits almost the same performance as the optimal solution. To alleviate the problem of high complexity associated with the MO-SDP algorithm, we then propose an alternative solution based on the null-space (NuS) relay precoding, the complexity of which is significantly reduced, and it yields a semiclosed-form expression for the solution. Moreover, the performance of the proposed NuS algorithm is evaluated via simulations, and the performance of the NuS algorithm and that of the MO-SDP algorithm are shown to converge at the high signal-to-noise ratio (SNR) region.

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Series: IEEE transactions on vehicular technology
ISSN: 0018-9545
ISSN-E: 1939-9359
ISSN-L: 0018-9545
Volume: 66
Issue: 5
Pages: 4098 - 4109
DOI: 10.1109/TVT.2016.2609934
OADOI: https://oadoi.org/10.1109/TVT.2016.2609934
Type of Publication: A1 Journal article – refereed
Field of Science: 213 Electronic, automation and communications engineering, electronics
Subjects:
Funding: This work was supported in part by the National Natural Science Foundation of China under Grant 61471236 and in part by the National Science and Technology Major Project under Grant 2011ZX03001-007-03.
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