Research Article
Optimal Relay Selection Algorithm for Combining Distance and Social Information in D2D Cooperative Communication Networks
@INPROCEEDINGS{10.1007/978-3-319-73564-1_46, author={Kaijian Li and Jianxin Dai and Chonghu Cheng and Zhiliang Huang}, title={Optimal Relay Selection Algorithm for Combining Distance and Social Information in D2D Cooperative Communication Networks}, proceedings={Machine Learning and Intelligent Communications. Second International Conference, MLICOM 2017, Weihai, China, August 5-6, 2017, Proceedings, Part I}, proceedings_a={MLICOM}, year={2018}, month={2}, keywords={Device-to-Device (D2D) communications Relay selection Social information Optimal stopping theory Cooperative communication}, doi={10.1007/978-3-319-73564-1_46} }- Kaijian Li
Jianxin Dai
Chonghu Cheng
Zhiliang Huang
Year: 2018
Optimal Relay Selection Algorithm for Combining Distance and Social Information in D2D Cooperative Communication Networks
MLICOM
Springer
DOI: 10.1007/978-3-319-73564-1_46
Abstract
With the rapid growth of mobile data traffic demand, D2D relay technology is becoming an essential technology for the next generation mobile network. In order to select the optimal node in a shorter time, a cooperative D2D relay model considering the physical distance and social information is proposed. And then a threshold based on distance and social information is introduced, which is used to filter out the nodes with poor performance to get a relatively small candidate relay set. According to the optimal stopping theory, this paper presents a D2D relay optimal selection algorithm in order to weigh the consumption of exploration and system performance. The simulation results show that the algorithm proposed is superior to the traditional algorithm in system performance and algorithm complexity.
