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.
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Acknowledgments
The research was supported in part by Postdoctoral Research Funding Plan in Jiangsu Province (Grant No. 1501073B), Natural Science Foundation of Nanjing University of Posts and Telecommunications (Grant No. NY214108), Natural Science Foundation of China (NSFC) (Grant No. 61401399), and the Open Research Fund of National Mobile Communications Research Laboratory, Southeast University (Grant No. 2016D05).
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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Li, K., Dai, J., Cheng, C., Huang, Z. (2018). Optimal Relay Selection Algorithm for Combining Distance and Social Information in D2D Cooperative Communication Networks. In: Gu, X., Liu, G., Li, B. (eds) Machine Learning and Intelligent Communications. MLICOM 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 226. Springer, Cham. https://doi.org/10.1007/978-3-319-73564-1_46
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DOI: https://doi.org/10.1007/978-3-319-73564-1_46
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