Title: Joint resource allocation and cluster-head selection for energy aware D2D multi-casting

Authors: Poulomi Mukherjee; Babul P. Tewari; Tanmay De

Addresses: Department of Computer Science and Engineering, National Institute of Technology, Durgapur, 713209, India ' Department of Computer Science and Engineering, Indian Institute of Information Technology, Bhagalpur, 813210, India ' Department of Computer Science and Engineering, National Institute of Technology, Durgapur, 713209, India

Abstract: This work addresses an energy aware D2D multi-casting through a combined approach of appropriate cluster-head (CH) selection and efficient resource block (RB) allocation. The objective is to minimise the consumed energy of the formulated clusters while respecting the interference constraints of the network. An integer linear programming based on the proposed integrated approach has been formulated and an analytical model for interference analysis has been presented. We have developed an appropriate greedy algorithm to solve the joint problem. Extensive simulations have been performed using network simulator 2 (NS2) to evaluate the performance of the proposed approach. It has been shown that the proposed approach outperforms some well known approaches and results in more than 90% service coverage with reasonably higher individual data rate of 25.80 Mbps and minimum individual power consumption of 5.1 Joules/Kbits. Finally, uncertainty analysis on the experimental data and sensitivity analysis of the proposed approached are presented.

Keywords: 5G D2D communications; multi-casting; energy consumption; RB allocation; interference management.

DOI: 10.1504/IJAHUC.2023.134759

International Journal of Ad Hoc and Ubiquitous Computing, 2023 Vol.44 No.3, pp.131 - 147

Received: 26 Jan 2023
Accepted: 10 May 2023
Published online: 09 Nov 2023 *

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