How Much Can Radio Resource Allocation Help to Improve Secrecy Capacity of V2V Underlay Cellular Networks?
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.
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- Copyright © 2020, IEEE.
- Luo, Xuewen
- Chen, Hsiao-Hwa
- Meng, Weixiao
- Publication Date: 2020-12
- Media Type: Web
- Features: Figures; References; Tables;
- Pagination: pp 14932-14944
- IEEE Transactions on Vehicular Technology
- Volume: 69
- Issue Number: 12
- Publisher: Institute of Electrical and Electronics Engineers (IEEE)
- ISSN: 0018-9545
- Serial URL: http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=25
- TRT Terms: Computer security; Electromagnetic interference; Resource allocation; Telecommunications; Vehicle to vehicle communications; Wireless communication systems
- Subject Areas: Data and Information Technology; Highways; Vehicles and Equipment;
- Accession Number: 01766764
- Record Type: Publication
- Files: TRIS
- Created Date: Feb 2 2021 10:20AM