Abstract
With the development of 5G, device-to-device (D2D) and other technologies have emerged one after another, making the communication services faster and wider in coverage. Aiming at the problem of high computational complexity of traditional resource allocation algorithms, by studying the D2D communication network model and the spatial location relationship of users, ignoring parameters that have little impact on the calculation, a D2D resource scheduling algorithm based on location relationship is proposed and optimized system performance. Simulation results show that, compared with traditional algorithms, the proposed resource scheduling algorithm has greatly reduced algorithm complexity, and has good data transfer rate and high system capacity.
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© 2021 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Su, X., Su, Y. (2021). A D2D Resource Scheduling Algorithm Based on Position Relation in Cellular Network. In: Guan, M., Na, Z. (eds) Machine Learning and Intelligent Communications. MLICOM 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 342. Springer, Cham. https://doi.org/10.1007/978-3-030-66785-6_5
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DOI: https://doi.org/10.1007/978-3-030-66785-6_5
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