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Proceedings Paper

Research on D2D resource allocation algorithm based on improved fuzzy clustering
Author(s): Mingshan Liu; Yang Liu; Yuan Zhou; Wenbo Zhang; Yanling Yu
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Paper Abstract

D2D communication is widely considered as one of the key technologies in 5G communication systems. The introduction of D2D communication can improve system throughput and spectrum utilization in cellular systems. Considering the scenario that D2D users are larger than cellular users(concerts or gyms), aiming at the problem of co-channel interference caused by D2D users multiplexing uplink resources of cellular users, an improved resource allocation algorithm based on fuzzy clustering is proposed to effectively suppress interference. First, the D2D users are divided into several D2D user groups so that multiple D2D users can reuse the same CU user resources. Subsequently, on the basis of guaranteeing the QoS of cellular users and D2D users, an improved KM algorithm is used to match the optimal multiplexing resources for each D2D user group. The simulation results show that the proposed algorithm can effectively reduce the interference between users, and the system throughput has been significantly improved.

Paper Details

Date Published: 9 August 2018
PDF: 8 pages
Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 108066G (9 August 2018); doi: 10.1117/12.2502883
Show Author Affiliations
Mingshan Liu, Jilin Univ. (China)
Yang Liu, Jilin Univ. (China)
Yuan Zhou, Jilin Univ. (China)
Wenbo Zhang, Jilin Univ. (China)
Yanling Yu, Jilin Univ. (China)

Published in SPIE Proceedings Vol. 10806:
Tenth International Conference on Digital Image Processing (ICDIP 2018)
Xudong Jiang; Jenq-Neng Hwang, Editor(s)

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