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