Dynamic power allocation scheme with clustering based on physical layer security. Issue 20 (22nd October 2018)

• Record Type: Journal Article
• Authors: Liu, Tianqi; Han, Shuai; Meng, Weixiao; Li, Cheng; Peng, Mugen
• Is Part Of: IET communications. Volume 12:Issue 20(2018)
• Page Start: 2546
• Page End: 2551
• Publication Date: 2018-10-22
• Subjects: MIMO communication -- radiofrequency interference -- optimisation -- OFDM modulation -- radio networks -- multi‐access systems -- telecommunication security -- wireless channels -- channel capacity -- probability; dynamic power allocation scheme -- physical layer security -- confidential capacity -- wiretap channel model -- narrow modulation bandwidth -- total transmission power constraints -- nonorthogonal multiple access technique -- highest transmission power -- downlink network -- clustering method -- network users -- channel gain -- cluster heads -- corresponding clusters -- power allocation process -- signal‐to‐interference‐plus‐noise ratio -- optimal power allocation scheme -- secrecy sum capacity -- outage probability; Telecommunication systems -- Periodicals; Speech processing systems -- Periodicals; 621.38205
• DOI: 10.1049/iet-com.2018.5544
• Languages: English
• ISSNs: 1751-8628

Abstract

Abstract : Achieving large confidential capacity under the wiretap channel model is a challenge due to the narrow modulation bandwidth and total transmission power constraints. The confidential capacity of a system can be improved through a non‐orthogonal multiple access technique that can obtain the highest transmission power in a downlink network. A clustering method is applied to network users who require data with similar contents. Based on the channel gain of each user, cluster heads are selected as agents for the corresponding clusters; then, the total transmission power is shared among the cluster heads. Before the power allocation process, the signal‐to‐interference‐plus‐noise ratio of the cluster heads is derived by considering clipping noise to ensure fairness. On this basis, an optimal power allocation scheme is proposed using Lagrangian dual theory. A case is presented to validate the performance of the proposed power allocation scheme. The comparison of the numerical results with those of other schemes shows that the proposed method achieves better performance regarding both secrecy sum capacity and outage probability.