Skip to main content

High-Performance Power Allocation Strategies for Secure Spatial Modulation

Shu, Feng, Liu, Xiaoyu, Xia, Guiyang, Xu, Tingzhen, Li, Jun, Wang, Jiangzhou (2019) High-Performance Power Allocation Strategies for Secure Spatial Modulation. IEEE Transactions on Vehicular Technology, 68 (5). pp. 5164-5168. ISSN 0018-9545. (doi:10.1109/TVT.2019.2905765) (KAR id:75511)

PDF Author's Accepted Manuscript
Language: English
Download (529kB) Preview
[thumbnail of _system_appendPDF_proof_hi (1) (1).pdf]
This file may not be suitable for users of assistive technology.
Request an accessible format
Official URL


Optimal power allocation (PA) strategies can make a significant rate improvement in secure spatial modulation (SM). Due to the lack of secrecy rate (SR) closed-form expression in secure SM networks, it is hard to optimize the PA factor. In this paper, two PA strategies are proposed: gradient descent (GD), and maximum product of signal-to-interference-plus-noise ratio (SINR) and artificial-noise-to-signal-plus-noise ratio (ANSNR) (Max-P-SINR-ANSNR). The former is an iterative method and the latter is a closed-form solution. Compared to the former, the latter is of low-complexity. Simulation results show that the proposed two PA methods can approximately achieve the same SR performance as the exhaustive search method and perform far better than three fixed PA ones. With extremely low complexity, the SR performance of the proposed Max-P-SINR-ANSNR performs slightly better and worse than that of the proposed GD in the low to medium, and high signal-to-noise ratio regions, respectively.

Item Type: Article
DOI/Identification number: 10.1109/TVT.2019.2905765
Uncontrolled keywords: Spatial modulation, secure, secrecy rate, power allocation
Subjects: T Technology
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Jiangzhou Wang
Date Deposited: 23 Jul 2019 12:43 UTC
Last Modified: 16 Feb 2021 14:06 UTC
Resource URI: (The current URI for this page, for reference purposes)
Wang, Jiangzhou:
  • Depositors only (login required):


Downloads per month over past year