Resource allocation techniques for downlink Non-Orthogonal Multiple Access-Based 5G wireless systems

Resource allocation techniques for downlink Non-Orthogonal Multiple Access-Based 5G wireless systems

The expected usage growth of smart devices in the wireless cellular system and many connected devices with other new, improved technological advancement has resulted in the high data rate demands and spectrum scarcity problems. Hence, efficient resource allocation techniques are required to im...

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Main Author: Ali, Zuhura Juma
Format: Thesis
Language:English
Published: 2021
Subjects:
Wireless communication systems
Multiple access protocols (Computer network protocols)
5G mobile communication systems
Online Access:http://psasir.upm.edu.my/id/eprint/97851/1/FK%202021%2092%20UPMIR.pdf
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spelling my-upm-ir.978512022-07-05T08:40:29Z Resource allocation techniques for downlink Non-Orthogonal Multiple Access-Based 5G wireless systems 2021-05 Ali, Zuhura Juma The expected usage growth of smart devices in the wireless cellular system and many connected devices with other new, improved technological advancement has resulted in the high data rate demands and spectrum scarcity problems. Hence, efficient resource allocation techniques are required to improve spectrum utilization and address the high data rate demands for future wireless communication networks. Non-Orthogonal Multiple Access (NOMA) is one of the most promising multiple access technology for fifth-generation (5G) and future advancement due to its significant role in achieving high spectral efficiency and energy efficiency together with supporting large number of connectivity required for massive machine-type communication (mMTC). This thesis’s main objective is to solve the downlink NOMA systems’ resource allocation problems for improving the system sum rate and energy efficiency. The study addressed the optimization of resources in a single-cell and heterogeneous transmission systems using convex optimization techniques. First, the downlink NOMA-based single-cell systems’ resource allocation problems are addressed. The closed-form solutions are derived using Karush-Kuhn-Tucker (KKT) conditions to maximize the system sum rate and the Dinkelbach (DKL) algorithm to maximize system energy efficiency. Moreover, the Hungarian (HNG) algorithm is utilized for pairing two users into the sub-channel. For 10 users, 2 W Base Station (BS) power, the system sum rate of the proposed NOMA with optimal power allocation using KKT conditions and HNG (NOMA-PKKT-HNG) achieves a higher sum rate by 20.02 %, 40.09 %, and 50.32 % than NOMA with a Difference of Convex programming (NOMA-DC), NOMA with Fractional Transmitting Power Allocation (NOMA-FTPA), and conventional Orthogonal Frequency Division Multiple Access (OFDMA) techniques respectively. Besides, with 20 users at the BS, the system energy efficiency presented an optimal power allocation using DKL and HNG (NOMA-PDKL-HNG) with greater performance than those from NOMA-DC, NOMA-FTPA and OFDMA by 40 %, 59 %, and 86 % respectively. Second, the downlink NOMA’s resource allocation problems in a heterogeneous network (NOMA-HetNets) are investigated. The results show that the femtocell user’s minimum energy efficiency by applying NOMA with power allocation method using Sequential Convex Programming and user pairing based on Greedy Algorithm (NOMA-SCP-GA) is higher by 38.22 %, 58.84 %, and 76.39 % compared to NOMA-DC, NOMA-FTPA, and OFDMA methods respectively. The obtained results from both NOMA scenarios confirm that the proposed NOMA-PKKT-HNG, NOMA-PDKL-HNG, and NOMA-SCP-GA methods are promising approaches for the 5G capability demands. Wireless communication systems Multiple access protocols (Computer network protocols) 5G mobile communication systems 2021-05 Thesis http://psasir.upm.edu.my/id/eprint/97851/ http://psasir.upm.edu.my/id/eprint/97851/1/FK%202021%2092%20UPMIR.pdf text en public doctoral Universiti Putra Malaysia Wireless communication systems Multiple access protocols (Computer network protocols) 5G mobile communication systems Noordin, Nor Kamariah
institution Universiti Putra Malaysia
collection PSAS Institutional Repository
language English
advisor Noordin, Nor Kamariah
topic Wireless communication systems
Multiple access protocols (Computer network protocols)
5G mobile communication systems
spellingShingle Wireless communication systems
Multiple access protocols (Computer network protocols)
5G mobile communication systems
Ali, Zuhura Juma
Resource allocation techniques for downlink Non-Orthogonal Multiple Access-Based 5G wireless systems
description The expected usage growth of smart devices in the wireless cellular system and many connected devices with other new, improved technological advancement has resulted in the high data rate demands and spectrum scarcity problems. Hence, efficient resource allocation techniques are required to improve spectrum utilization and address the high data rate demands for future wireless communication networks. Non-Orthogonal Multiple Access (NOMA) is one of the most promising multiple access technology for fifth-generation (5G) and future advancement due to its significant role in achieving high spectral efficiency and energy efficiency together with supporting large number of connectivity required for massive machine-type communication (mMTC). This thesis’s main objective is to solve the downlink NOMA systems’ resource allocation problems for improving the system sum rate and energy efficiency. The study addressed the optimization of resources in a single-cell and heterogeneous transmission systems using convex optimization techniques. First, the downlink NOMA-based single-cell systems’ resource allocation problems are addressed. The closed-form solutions are derived using Karush-Kuhn-Tucker (KKT) conditions to maximize the system sum rate and the Dinkelbach (DKL) algorithm to maximize system energy efficiency. Moreover, the Hungarian (HNG) algorithm is utilized for pairing two users into the sub-channel. For 10 users, 2 W Base Station (BS) power, the system sum rate of the proposed NOMA with optimal power allocation using KKT conditions and HNG (NOMA-PKKT-HNG) achieves a higher sum rate by 20.02 %, 40.09 %, and 50.32 % than NOMA with a Difference of Convex programming (NOMA-DC), NOMA with Fractional Transmitting Power Allocation (NOMA-FTPA), and conventional Orthogonal Frequency Division Multiple Access (OFDMA) techniques respectively. Besides, with 20 users at the BS, the system energy efficiency presented an optimal power allocation using DKL and HNG (NOMA-PDKL-HNG) with greater performance than those from NOMA-DC, NOMA-FTPA and OFDMA by 40 %, 59 %, and 86 % respectively. Second, the downlink NOMA’s resource allocation problems in a heterogeneous network (NOMA-HetNets) are investigated. The results show that the femtocell user’s minimum energy efficiency by applying NOMA with power allocation method using Sequential Convex Programming and user pairing based on Greedy Algorithm (NOMA-SCP-GA) is higher by 38.22 %, 58.84 %, and 76.39 % compared to NOMA-DC, NOMA-FTPA, and OFDMA methods respectively. The obtained results from both NOMA scenarios confirm that the proposed NOMA-PKKT-HNG, NOMA-PDKL-HNG, and NOMA-SCP-GA methods are promising approaches for the 5G capability demands.
format Thesis
qualification_level Doctorate
author Ali, Zuhura Juma
author_facet Ali, Zuhura Juma
author_sort Ali, Zuhura Juma
title Resource allocation techniques for downlink Non-Orthogonal Multiple Access-Based 5G wireless systems
title_short Resource allocation techniques for downlink Non-Orthogonal Multiple Access-Based 5G wireless systems
title_full Resource allocation techniques for downlink Non-Orthogonal Multiple Access-Based 5G wireless systems
title_fullStr Resource allocation techniques for downlink Non-Orthogonal Multiple Access-Based 5G wireless systems
title_full_unstemmed Resource allocation techniques for downlink Non-Orthogonal Multiple Access-Based 5G wireless systems
title_sort resource allocation techniques for downlink non-orthogonal multiple access-based 5g wireless systems
granting_institution Universiti Putra Malaysia
publishDate 2021
url http://psasir.upm.edu.my/id/eprint/97851/1/FK%202021%2092%20UPMIR.pdf
_version_ 1747813814295855104

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