Research on D2D resource allocation algorithm based on improved fuzzy clustering

Mingshan Liu; Yang Liu; Yuan Zhou; Wenbo Zhang; Yanling Yu

doi:10.1117/12.2502883

9 August 2018 Research on D2D resource allocation algorithm based on improved fuzzy clustering

Mingshan Liu, Yang Liu, Yuan Zhou, Wenbo Zhang, Yanling Yu

Proceedings Volume 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018); 108066G (2018) https://doi.org/10.1117/12.2502883
Event: Tenth International Conference on Digital Image Processing (ICDIP 2018), 2018, Shanghai, China

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.

Citation Download Citation

Mingshan Liu, Yang Liu, Yuan Zhou, Wenbo Zhang, and Yanling Yu "Research on D2D resource allocation algorithm based on improved fuzzy clustering", Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 108066G (9 August 2018); https://doi.org/10.1117/12.2502883

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