How Much Can Radio Resource Allocation Help to Improve Secrecy Capacity of V2V Underlay Cellular Networks?

Xuewen Luo, Hsiao Hwa Chen, Weixiao Meng

研究成果: Article同行評審

4 引文 斯高帕斯(Scopus)

摘要

Vehicle-to-vehicle (V2V) underlay cellular communication plays an important role in the fifth-generation (5G) and beyond communications and its security issues attract a lot of attention. Physical layer security, which explores channel characteristics to protect wireless communications, is very attractive due to its low latency. This paper focuses on secrecy capacity maximization in V2V underlay cellular communications, where the secrecy capacity of vehicular user equipments (VUEs) is optimized first, followed by sum proportional fairness function optimization for both VUEs and cellular user equipments (CUEs). The optimization problems can be solved in two sub-problems, e.g., power and subcarrier allocation problems. The power allocation can be done with the first strategy using a one-dimensional searching algorithm, whereas a genetic algorithm (GA) is used to solve the second optimization problem. In addition, as VUEs share uplink resources with CUEs, the co-channel interference exists and the subcarrier allocation sub-problem is a 3D search problem, which is solved by a two-step iterative Hungarian algorithm (IHA). Finally, simulations are performed to validate the performance of the proposed schemes.

原文English
文章編號9222106
頁(從 - 到)14932-14944
頁數13
期刊IEEE Transactions on Vehicular Technology
69
發行號12
DOIs
出版狀態Published - 2020 12月

All Science Journal Classification (ASJC) codes

  • 航空工程
  • 電氣與電子工程
  • 電腦網路與通信
  • 汽車工程

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