5G for Future Wireless Networks. First International Conference, 5GWN 2017, Beijing, China, April 21-23, 2017, Proceedings

Research Article

A Resource Allocation Scheme Based on Genetic Algorithm for D2D Communications Underlaying Multi-channel Cellular Networks

Download
218 downloads
  • @INPROCEEDINGS{10.1007/978-3-319-72823-0_62,
        author={Ying Sun and Xijun Yan and Xujie Li and Yan Gu and Chenming Li},
        title={A Resource Allocation Scheme Based on Genetic Algorithm for D2D Communications Underlaying Multi-channel Cellular Networks},
        proceedings={5G for Future Wireless Networks. First International Conference, 5GWN 2017, Beijing, China, April 21-23, 2017, Proceedings},
        proceedings_a={5GWN},
        year={2018},
        month={1},
        keywords={D2D communications Resource allocation Genetic algorithm},
        doi={10.1007/978-3-319-72823-0_62}
    }
    
  • Ying Sun
    Xijun Yan
    Xujie Li
    Yan Gu
    Chenming Li
    Year: 2018
    A Resource Allocation Scheme Based on Genetic Algorithm for D2D Communications Underlaying Multi-channel Cellular Networks
    5GWN
    Springer
    DOI: 10.1007/978-3-319-72823-0_62
Ying Sun1, Xijun Yan1, Xujie Li,*, Yan Gu1, Chenming Li1
  • 1: Hohai University
*Contact email: lixujie@hhu.edu.cn

Abstract

In this paper, a resource allocation scheme based on genetic algorithm for device-to-device (D2D) communication underlaying Muti-channel cellular networks is proposed. In our scenarios, cellular user equipments (CUEs) and D2D user equipments (DUEs) coexist and share total channel resources. One DUE pair includes a D2D transmitting user equipment (DTUE) and a D2D receiving user equipment (DRUE). The introduction of additional between CUEs and DUEs leads to increases in complexity of resource allocation. First of all, the system model of D2D communications is presented. Then the resource allocation problem based on genetic algorithm is formulated. Next a resource allocation scheme based on genetic algorithm is proposed. Finally, the analysis and simulation results show the performance of proposed scheme outperform that of random algorithm and is very close to that of exhaustive algorithm. This result can provide an effective solution for resource allocation and optimization of D2D communications.