Title: D2D resource allocation algorithm based on joint interference control in 5G heterogeneous networks

Authors: Benhong Zhang; Mingyue Zhang; Xiang Bi

Addresses: School of Computer Science and Information Engineering, Hefei University of Technology, Hefei 230009, China; Engineering Research Centre of Safety Critical Industrial Measurement and Control Technology, Ministry of Education, Hefei 230009, China ' School of Computer Science and Information Engineering, Hefei University of Technology, Hefei 230009, China; Engineering Research Centre of Safety Critical Industrial Measurement and Control Technology, Ministry of Education, Hefei 230009, China ' School of Computer Science and Information Engineering, Hefei University of Technology, Hefei 230009, China; Engineering Research Centre of Safety Critical Industrial Measurement and Control Technology, Ministry of Education, Hefei 230009, China

Abstract: (D2D) communication is a promising technique to improve the spectral efficiency of cellular networks, by means of reusing the spectrum resource of cellular users (CUEs), but it also causes interference control and resource allocation problems. To address this problem, in this paper, we propose an interference management and resource allocation algorithm for D2D communication in heterogeneous networks, with the objective of maximising the sum throughput of the CUEs and the D2D users (DUEs). Firstly, according to the principle of interference minimisation, DUEs are grouped based on fuzzy clustering algorithm. Secondly, the channel allocation problem is modelled as an iterative combinatorial auction process. Under the premise of ensuring the quality of service (QoS) for both CUEs and DUEs, then allocate the channel to DUEs with the largest multiplexing throughput. Simulation results show that our proposed algorithm can significantly improve the system performance.

Keywords: device-to-device communication; heterogeneous network; interference management; resource allocation; maximum throughput.

DOI: 10.1504/IJSNET.2022.124570

International Journal of Sensor Networks, 2022 Vol.39 No.3, pp.162 - 173

Received: 21 Nov 2021
Accepted: 06 Jan 2022
Published online: 28 Jul 2022 *

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