Staff View: Energy-efficient communications in wireless powered cognitive radio networks based on game theory / Fadhil Mukhlif Aswad Al-Obaidy

Energy-efficient communications in wireless powered cognitive radio networks based on game theory / Fadhil Mukhlif Aswad Al-Obaidy

There are challenging and prevalent problems related to spectrum resources with the interference of battery-based devices in future wireless networks. To address such challenges, this thesis proposes a theoretical framework for designing and analyzing the distributed power control algorithms in mode...

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Main Author:	Fadhil Mukhlif , Aswad Al-Obaidy
Format:	Thesis
Published:	2020
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://studentsrepo.um.edu.my/14918/1/Fadhil_Mukhlif.pdf http://studentsrepo.um.edu.my/14918/2/Fadhil_Mukhlif.pdf http://studentsrepo.um.edu.my/14918/
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spelling	my.um.stud.149182024-05-20T23:49:40Z Energy-efficient communications in wireless powered cognitive radio networks based on game theory / Fadhil Mukhlif Aswad Al-Obaidy Fadhil Mukhlif , Aswad Al-Obaidy TK Electrical engineering. Electronics Nuclear engineering There are challenging and prevalent problems related to spectrum resources with the interference of battery-based devices in future wireless networks. To address such challenges, this thesis proposes a theoretical framework for designing and analyzing the distributed power control algorithms in modern 5G cognitive networks. Previous experiments have shown that game theory tools can be used as a suitable and efficient technique to build scalable, balanced, and energy efficient for the distributed power control schemes in order to use it practically in battery-based devices in wireless networks. In reality, the power control issue is constructed as a non-cooperative game for which the user selects its transmission energy to increase or decrease its own utility. The ratio of throughput to transmit power is defined as the utility that is used to signify the power efficiency scheme, on the other hand, the cost can be presented as the sum of the sigmoid weighting of transmit power and the square of the signal to interference ratio error that can be used to signify the signal to interference balancing scheme. This work proposes a novel utility function to derive an efficient distributed power algorithm. Moreover, this thesis proposes a pricing technique which guides users to an effective Nash Equilibrium point to encourage users to use network resources efficiently. Such frameworks are considered as general when applied on candidates of cognitive scenarios which is Cognitive Radio (CR), Cognitive Sensor Networks (CSN) and Unmanned Aerial Vehicle (UAV) because of the critical and challenging issue of interference. In order to prove the effectiveness of such algorithms, numerical solutions are used in comparison with current power control algorithms. The findings of this thesis indicate that the simulated analytical and numerical results of the proposed algorithms can achieve a substantial reduction in transmit power of users which in turn minimizes the overall interference. Furthermore, the convergence rate of these algorithms is relatively fast which can help in guaranteeing that all users achieve their required QoS. 2020-11 Thesis NonPeerReviewed application/pdf http://studentsrepo.um.edu.my/14918/1/Fadhil_Mukhlif.pdf application/pdf http://studentsrepo.um.edu.my/14918/2/Fadhil_Mukhlif.pdf Fadhil Mukhlif , Aswad Al-Obaidy (2020) Energy-efficient communications in wireless powered cognitive radio networks based on game theory / Fadhil Mukhlif Aswad Al-Obaidy. PhD thesis, Universiti Malaya. http://studentsrepo.um.edu.my/14918/
institution	Universiti Malaya
building	UM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaya
content_source	UM Student Repository
url_provider	http://studentsrepo.um.edu.my/
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Fadhil Mukhlif , Aswad Al-Obaidy Energy-efficient communications in wireless powered cognitive radio networks based on game theory / Fadhil Mukhlif Aswad Al-Obaidy
description	There are challenging and prevalent problems related to spectrum resources with the interference of battery-based devices in future wireless networks. To address such challenges, this thesis proposes a theoretical framework for designing and analyzing the distributed power control algorithms in modern 5G cognitive networks. Previous experiments have shown that game theory tools can be used as a suitable and efficient technique to build scalable, balanced, and energy efficient for the distributed power control schemes in order to use it practically in battery-based devices in wireless networks. In reality, the power control issue is constructed as a non-cooperative game for which the user selects its transmission energy to increase or decrease its own utility. The ratio of throughput to transmit power is defined as the utility that is used to signify the power efficiency scheme, on the other hand, the cost can be presented as the sum of the sigmoid weighting of transmit power and the square of the signal to interference ratio error that can be used to signify the signal to interference balancing scheme. This work proposes a novel utility function to derive an efficient distributed power algorithm. Moreover, this thesis proposes a pricing technique which guides users to an effective Nash Equilibrium point to encourage users to use network resources efficiently. Such frameworks are considered as general when applied on candidates of cognitive scenarios which is Cognitive Radio (CR), Cognitive Sensor Networks (CSN) and Unmanned Aerial Vehicle (UAV) because of the critical and challenging issue of interference. In order to prove the effectiveness of such algorithms, numerical solutions are used in comparison with current power control algorithms. The findings of this thesis indicate that the simulated analytical and numerical results of the proposed algorithms can achieve a substantial reduction in transmit power of users which in turn minimizes the overall interference. Furthermore, the convergence rate of these algorithms is relatively fast which can help in guaranteeing that all users achieve their required QoS.
format	Thesis
author	Fadhil Mukhlif , Aswad Al-Obaidy
author_facet	Fadhil Mukhlif , Aswad Al-Obaidy
author_sort	Fadhil Mukhlif , Aswad Al-Obaidy
title	Energy-efficient communications in wireless powered cognitive radio networks based on game theory / Fadhil Mukhlif Aswad Al-Obaidy
title_short	Energy-efficient communications in wireless powered cognitive radio networks based on game theory / Fadhil Mukhlif Aswad Al-Obaidy
title_full	Energy-efficient communications in wireless powered cognitive radio networks based on game theory / Fadhil Mukhlif Aswad Al-Obaidy
title_fullStr	Energy-efficient communications in wireless powered cognitive radio networks based on game theory / Fadhil Mukhlif Aswad Al-Obaidy
title_full_unstemmed	Energy-efficient communications in wireless powered cognitive radio networks based on game theory / Fadhil Mukhlif Aswad Al-Obaidy
title_sort	energy-efficient communications in wireless powered cognitive radio networks based on game theory / fadhil mukhlif aswad al-obaidy
publishDate	2020
url	http://studentsrepo.um.edu.my/14918/1/Fadhil_Mukhlif.pdf http://studentsrepo.um.edu.my/14918/2/Fadhil_Mukhlif.pdf http://studentsrepo.um.edu.my/14918/
_version_	1800715313887576064
score	13.211869

Energy-efficient communications in wireless powered cognitive radio networks based on game theory / Fadhil Mukhlif Aswad Al-Obaidy

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