Wireless Internet. 9th International Conference, WICON 2016, Haikou, China, December 19-20, 2016, Proceedings

Research Article

Delay Aware Resource Allocation for Device-to-Device Communication Underlaying Cellular Networks

Download
349 downloads
  • @INPROCEEDINGS{10.1007/978-3-319-72998-5_22,
        author={Heli Zhang and Wang Yang and Hong Ji and Xi Li and Victor Leung and Lichao Yang},
        title={Delay Aware Resource Allocation for Device-to-Device Communication Underlaying Cellular Networks},
        proceedings={Wireless Internet. 9th International Conference, WICON 2016, Haikou, China, December 19-20, 2016, Proceedings},
        proceedings_a={WICON},
        year={2018},
        month={1},
        keywords={Device-to-device communication Resource allocation Particle swarm optimization Delay},
        doi={10.1007/978-3-319-72998-5_22}
    }
    
  • Heli Zhang
    Wang Yang
    Hong Ji
    Xi Li
    Victor Leung
    Lichao Yang
    Year: 2018
    Delay Aware Resource Allocation for Device-to-Device Communication Underlaying Cellular Networks
    WICON
    Springer
    DOI: 10.1007/978-3-319-72998-5_22
Heli Zhang1,*, Wang Yang1, Hong Ji1, Xi Li1, Victor Leung2, Lichao Yang1
  • 1: Beijing University of Posts and Telecommunications
  • 2: The University of British Columbia
*Contact email: zhangheli@bupt.edu.cn

Abstract

Device-to-device (D2D) communications can bring significant performance improvement by allowing direct communications between users. Most of previous work usually focuses on the optimization of throughput, energy efficiency, offloading and so on. However, the delay performance of D2D users is less considered. In this paper, we formulate a resource allocation problem to maximize the system throughput while guarantying the delay performance for each user. The resource allocation is dynamic due to the consideration of both channel state and the queue length information. The optimization problem is a mixed integer non-linear programming problem and the solution space is large. Then in order to solve the problem with low complexity, we introduce particle swarm optimization algorithm to the resource allocation scheme. Various simulation results show that the throughput of the scheme is close to the global optimum and the delay performance for each user is guaranteed.