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Resource Allocation Schemes Based on Coalition Games for Vehicular Communications

  • Chunlong He
  • , Qian Chen*
  • , Cunhua Pan
  • , Xingquan Li
  • , Fu Chun Zheng
  • *Corresponding author for this work
  • Shenzhen University
  • Queen Mary University of London
  • School of Electronics and Information Engineering, Harbin Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

In this letter, we propose a suboptimal resource allocation scheme for the uplink vehicular communications networks. Our aim is to maximize the minimum throughput of all vehicle-to-vehicle (V2V) links under the constraints of the minimum vehicle-to-infrastructure (V2I) link throughput requirements. The optimization problem has a non-linear and non-convex objective function and we cannot obtain the optimal solutions directly. To solve this problem, we first propose a V2V partitioning method from the view point of game theory. Then, an efficient power allocation algorithm is developed to obtain the optimal power allocation solutions by exploiting the D.C. (difference of convex functions) structure of the objective function. Simulation results demonstrate the effectiveness of the proposed resource allocation algorithms.

Original languageEnglish
Article number8846751
Pages (from-to)2340-2343
Number of pages4
JournalIEEE Communications Letters
Volume23
Issue number12
DOIs
StatePublished - Dec 2019
Externally publishedYes

Keywords

  • D2D communications
  • Vehicular communications
  • resource allocation

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