Optimal Relay Selection Algorithm for Combining Distance and Social Information in D2D Cooperative Communication Networks

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.

[1]  Zheng Bao-yu.  Outage Probability Analysis of a Cooperative Diversity Method Based on Random Relay Selection , 2010 .

[2]  Chung Gu Kang,et al.  Relay Selection Scheme for Orthogonal Amplify-And-Forward Relay-Enhanced Cellular System in a Multi-Cell Environment , 2010, 2010 IEEE 71st Vehicular Technology Conference.

[3]  Riku Jäntti,et al.  Multiuser scheduling over Rayleigh fading channels , 2003, GLOBECOM '03. IEEE Global Telecommunications Conference (IEEE Cat. No.03CH37489).

[4]  Alexandros G. Dimakis,et al.  FemtoCaching: Wireless Content Delivery Through Distributed Caching Helpers , 2013, IEEE Transactions on Information Theory.

[5]  Shi Jin,et al.  An Overview of Low-Rank Channel Estimation for Massive MIMO Systems , 2016, IEEE Access.

[6]  Ulrike von Luxburg,et al.  A tutorial on spectral clustering , 2007, Stat. Comput..

[7]  Junshan Zhang,et al.  Distributed opportunistic scheduling for ad-hoc communications: an optimal stopping approach , 2007, MobiHoc '07.

[8]  Jianpeng Ma,et al.  Pattern Division for Massive MIMO Networks With Two-Stage Precoding , 2017, IEEE Communications Letters.

[9]  Shi Jin,et al.  A Unified Transmission Strategy for TDD/FDD Massive MIMO Systems With Spatial Basis Expansion Model , 2017, IEEE Transactions on Vehicular Technology.

[10]  Shi Jin,et al.  A Full-Space Spectrum-Sharing Strategy for Massive MIMO Cognitive Radio Systems , 2016, IEEE Journal on Selected Areas in Communications.

[11]  Yi Sun,et al.  Interference Alignment Based on Antenna Selection With Imperfect Channel State Information in Cognitive Radio Networks , 2016, IEEE Transactions on Vehicular Technology.

[12]  Tony Q. S. Quek,et al.  Heterogeneous Cellular Network With Energy Harvesting-Based D2D Communication , 2016, IEEE Transactions on Wireless Communications.

[13]  Yueming Cai,et al.  Social-aware content downloading mode selection for D2D communications , 2015, 2015 IEEE International Conference on Communications (ICC).

[14]  Xu Chen,et al.  Social-aware relay selection for cooperative networking: An optimal stopping approach , 2014, 2014 IEEE International Conference on Communications (ICC).