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CLC number: TN92

On-line Access: 2018-05-07

Received: 2017-01-09

Revision Accepted: 2017-04-08

Crosschecked: 2018-03-15

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Citations:  Bibtex RefMan EndNote GB/T7714


Chen Chen


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Frontiers of Information Technology & Electronic Engineering  2018 Vol.19 No.3 P.398-408


Resource allocation for physical-layer security in OFDMA downlink with imperfect CSI

Author(s):  Wei Yang, Jing Mao, Chen Chen, Xiang Cheng, Liu-qing Yang, Hai-ge Xiang

Affiliation(s):  State Key Laboratory of Advanced Optical Communication Systems and Networks, Peking University, Beijing 100871, China; more

Corresponding email(s):   youngwei@pku.edu.cn, maojing@pku.edu.cn, c.chen@pku.edu.cn, lqyang@engr.colostate.edu

Key Words:  Resource allocation, Orthogonal frequency-division multiple access (OFDMA), Imperfect channel state information (CSI), Physical layer security

Wei Yang, Jing Mao, Chen Chen, Xiang Cheng, Liu-qing Yang, Hai-ge Xiang. Resource allocation for physical-layer security in OFDMA downlink with imperfect CSI[J]. Frontiers of Information Technology & Electronic Engineering, 2018, 19(3): 398-408.

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T1 - Resource allocation for physical-layer security in OFDMA downlink with imperfect CSI
A1 - Wei Yang
A1 - Jing Mao
A1 - Chen Chen
A1 - Xiang Cheng
A1 - Liu-qing Yang
A1 - Hai-ge Xiang
J0 - Frontiers of Information Technology & Electronic Engineering
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PB - Zhejiang University Press & Springer
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DOI - 10.1631/FITEE.1700026

We investigate the problem of resource allocation in a downlink orthogonal frequency-division multiple access (OFDMA) broadband network with an eavesdropper under the condition that both legitimate users and the eavesdropper are with imperfect channel state information (CSI). We consider three kinds of imperfect CSI:(1) noise and channel estimation errors, (2) feedback delay and channel prediction, and (3) limited feedback channel capacity, where quantized CSI is studied using rate-distortion theory because it can be used to establish an information-theoretic lower bound on the capacity of the feedback channel. The problem is formulated as joint power and subcarrier allocation to optimize the maximum-minimum (max-min) fairness criterion over the users' secrecy rate. The problem considered is a mixed integer nonlinear programming problem. To reduce the complexity, we propose a two-step suboptimal algorithm that separately performs power and subcarrier allocation. For a given subcarrier assignment, optimal power allocation is achieved by developing an algorithm of polynomial computational complexity. Numerical results show that our proposed algorithm can approximate the optimal solution.




Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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