Title | ||
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Intercept Probability-Constrained Secure Mimo Af Relaying With Arbitrarily Distributed Ecsi Errors |
Abstract | ||
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In this paper, we study the problem of joint multipleinput multiple-output (MIMO) amplify-and-forward (AF) relaying and artificial noise (AN) optimization for secure communication between a source-destination pair in the presence of multiple eavesdroppers (eves). The eves' channel state information (ECSI) is subject to arbitrarily distributed random errors. Assuming that only the first and second moments of the ECSI errors are known, we introduce a probabilistically robust design method, which aims to maximize the received signalto-interference-plus-noise ratio (SINR) at the destination while satisfying a set of robust intercept probability constraints. Since the resultant optimization problem is non-convex, we propose a solution approach by resorting to a duality-based method along with the semidefinite relaxation (SDR) technique, where a global optimal solution to our design problem can be found. Our simulation results demonstrate the improved secrecy of the proposed robust relaying design against eavesdropping and its robustness against the channel uncertainties. |
Year | Venue | Field |
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2016 | 2016 IEEE 27TH ANNUAL INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR, AND MOBILE RADIO COMMUNICATIONS (PIMRC) | Mathematical optimization,Computer science,Communication channel,MIMO,Robustness (computer science),Duality (optimization),Artificial noise,Optimization problem,Secure communication,Channel state information |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jiaxin Yang | 1 | 48 | 8.07 |
Qiang Li | 2 | 15 | 3.85 |
Hao Li | 3 | 0 | 0.34 |
B. Champagne | 4 | 542 | 74.73 |