International Journal of Electrical and Computer Engineering
Vol 11, No 6: December 2021

Efficient radio resource allocation scheme for 5G networks with device-to-device communication

Fareha Nizam (Multimedia University)
Mardeni Roslee (Multimedia University)
Zubaida Yusoff (Multimedia University)
Prince Ugochukwu Nmenme (Multimedia University)
Keshvinder Singh (Multimedia University)
Hafizal Mohamad (Universiti Sains Islam Malaysia)
Anwar Faizd Bin Osman (Spectre Solutions Sdn Bhd,)
Ibraheem Abdullah Mohammed Shayea (Istanbul Technical University (ITU))



Article Info

Publish Date
01 Dec 2021

Abstract

A vital technology in the next-generation cellular network is device-to-device (D2D) communication. Cellular user enabled with D2D communication provides high spectral efficiency and further increases the coverage area of the cell, especially for the end-cell users and blind spot areas. However, the implementation of D2D communication increases interference among the cellular and D2D users. In this paper, we proposed a radio resource allocation (RRA) algorithm to manage the interference using fractional frequency reuse (FFR) scheme and Hungarian algorithm. The proposed algorithm is divided into three parts. First, the FFR scheme allocates different frequency bands among the cell (inner and outer region) for both the cellular and the D2D users to reduce the interference. Second, the Hungarian weighted bipartite matching algorithm is used to allocate the resources to D2D users with the minimum total system interference, while maintaining the total system sum rate. The cellular users share the resources with more than one D2D pair. Lastly, the local search technique of swapping is used for further allocation to minimize the interference. We implemented two types of assignments, fair multiple assignment, and restricted multiple assignment. We compared our results with existing algorithms which verified that our proposed algorithm provides outstanding results in aspects like interference reduction and system sum rate. For restricted multiple assignment, 60-70% of the D2D users are allocated in average cases.

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Journal Info

Abbrev

IJECE

Publisher

Subject

Computer Science & IT Electrical & Electronics Engineering

Description

International Journal of Electrical and Computer Engineering (IJECE, ISSN: 2088-8708, a SCOPUS indexed Journal, SNIP: 1.001; SJR: 0.296; CiteScore: 0.99; SJR & CiteScore Q2 on both of the Electrical & Electronics Engineering, and Computer Science) is the official publication of the Institute of ...