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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| Format: | Thesis |
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2020
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| 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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| Summary: | 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.
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