Abstract
Aiming at mode selection in D2D communication, a mode selection strategy based on social-aware was proposed. In addition to physical connection status, users’ social relationships also served as an observation element. Through relationship between users, the closeness of user relationship can be judged, and then through users’ reference, the similarity between users can be obtained. In this way, by combining physical connection with social relationships, users’ aggregate utility was acquired. According to the physical connection quality and the social relationship strength, taking maximizing users’ aggregate utility as the goal, a random algorithm was designed to match users. Simulation results show that mode selection based on social perception can effectively improve users’ aggregate utility.
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Acknowledgements
Foundation Items: The National Natural Science Foundation of China for Youth (61201160, 61602263); The Natural Science Foundation of Jiangsu Province (BK20131377, BK20151507, BK20160916); The Natural science fund for colleges and universities in Jiangsu Province under Grants (16KJB510034); The six talent peaks project in Jiangsu Province (XYDXXJS-044); A Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions (yx002001); The Jiangsu Overseas Research and Training Program for University Prominent Young and Middle-aged Teachers and Presidents; Sponsored by NUPTSF (Grant Nos. NY212012, NY214065,NY216020)
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Lu, Wf., Lin, Wj., Chen, Sg., Yang, Lj. (2019). A Social-Aware Mode Selection Algorithm for D2D Communications. In: Liang, Q., Liu, X., Na, Z., Wang, W., Mu, J., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2018. Lecture Notes in Electrical Engineering, vol 515. Springer, Singapore. https://doi.org/10.1007/978-981-13-6264-4_84
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DOI: https://doi.org/10.1007/978-981-13-6264-4_84
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