Citation

Randhava, Keshvinder Singh (2022) Dynamic spectrum allocation in fractional frequency reuse for 4G/5G Device-To-Device communications. PhD thesis, Multimedia University.

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Abstract

Over the last decade, Device-to-device (D2D) is a promising technology under 5G. D2D communications allows devices in close range to communicate directly without using the base station as an intermediate link which improves spectral utilization, reduces device energy consumption and reduces latency. Unfortunately, the challenges are the limited of radio spectrum in wireless network and the ever increase in the network users leaves the communication channels so crowded where this introduces interference in the entire communication system thereby degrading the Quality of Service (QoS) and system capacity. In this work, it is involved three phases. A D2D communications capacity and interference between D2D links is being analyzed and Device to Device (D2D) communications algorithm and scheme is being developed in order to offer wireless peer-to-peer services and improve spectrum utilization. Finally, a validation and final tuning of proposed algorithm for interference management in a D2D communication network is being implemented. Phase 1 is analysing D2D communications as the interference mitigation technique in order to improve spectral efficiency and also the user throughput for spectrum utilization. In phase 2, development of algorithm and scheme is implemented. It is involved three parts which are dynamic spectrum algorithm based on D2D communications, resource allocation algorithm for interference management for D2D communication in a cellular network and radio resource allocation using fractional frequency reuse and Hungarian algorithm. In the final phase 3, validation and final tuning of proposed algorithm is being implemented where there are two final algorithms for D2D communication network involved which are dynamic spectrum allocation based on SINR and spectrum sensing and power controlling allocation scheme for interference management. Finally, the final results indicate our final tuning or optimized algorithm and scheme improves the system SINR and throughput where the optimized power allocation scheme improves the average throughput of the system and successfully reduces the total system interference by 28%. This novel algorithm and scheme represent the trend for future wireless 5G networks and has a high impact to the telecommunication providers in Malaysia.

Item Type:	Thesis (PhD)
Additional Information:	Call No.: QA9.58 .K47 2022
Uncontrolled Keywords:	Algorithms
Subjects:	Q Science > QA Mathematics > QA1-43 General
Divisions:	Faculty of Engineering (FOE)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	28 Nov 2023 02:18
Last Modified:	28 Nov 2023 02:18
URII:	http://shdl.mmu.edu.my/id/eprint/11867

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