Abstract
In this paper, we present a particle swarm optimization based location recommendation scheme (PSO-LR) for Device-to-Device (D2D) Communication underlying Long Term Evolution (LTE) cellular networks. The proposed scheme enables D2D users to move to new locations which provide better link qualities and a higher system capacity. Also, it can balance resource allocation between cellular users and D2D users. The simulation results illustrate that the proposed PSO-LR scheme can effectively improve the total system capacity by location recommendation for D2D users, and reduce both the distance and time of location recommendation by comparison with other location recommendation scheme [11].
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Acknowledgment
The authors would like to thank the financial support provided by National Science Council (MOST 106-2221-E-003-023, and MOST 107-2634-F-155-001).
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Wang, C., Wu, MH., Tsai, TS. (2018). Particle Swarm Optimization Based Location Recommendation for D2D Communication Underlying LTE Cellular Networks. In: Meng, L., Zhang, Y. (eds) Machine Learning and Intelligent Communications. MLICOM 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 251. Springer, Cham. https://doi.org/10.1007/978-3-030-00557-3_64
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DOI: https://doi.org/10.1007/978-3-030-00557-3_64
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