Literature Database Entry

arafat2025performance

Nouran Mohamed Zaghlool Arafat, "Performance Analysis of Multi-User Millimeter Wave MIMO-NOMA Systems," PhD Thesis, Faculty of Information Engineering and Technology, The German University in Cairo (GUC), February 2025. (Advisors: Ahmed El-Mahdy and Engy A. Maher; Referees: Falko Dressler, Torsten Braun, Fatma Newagy and Alaa Eldin Rohiem)

Abstract

Non-Orthogonal Multiple Access (NOMA) has been proposed as a candidate technique for future mobile communication. NOMA outperforms orthogonal multiple access (OMA) from the aspects of spectral efficiency and massive connectivity. On the other hand, Reconfigurable Intelligent Surface (RIS) is considered as one of the potential enabling technologies for 5G and beyond because it achieves spectrum-energy and cost efficient wireless network. Millimeter Wave (mmWave) communication has high frequency range from 30 to 300 GHz and supports giga-bit per second data rates. Thus, it maximized the spectrum usage and avoid interference. In this thesis, to benefit from the above technologies, we propose a system that integrates RIS with multi-user MIMO-NOMA system in mmWave band and maximize the energy efficiency (EE), spectral efficiency (SE) as well as minimize the system power consumption. Hybrid precoding is performed by having a zero-forcing digital precoder at the base station and an analog precoding at the RIS. User clustering and antenna reduction of the MIMO system algorithms are also proposed. In these algorithms, antennas that have small contribution to the system performance are discarded to decrease the system power consumption, enhance the EE, and consequently reduce the number of RF chains. Moreover, a clustering algorithm is proposed to reduce interference among users by grouping high-correlating users in the same cluster. Joint optimization of power allocation of NOMA users, RIS phases, and RIS gains is proposed to maximize the energy efficiency of the system. Closed-form expressions for the optimum phases and gains of RIS are obtained using the Quadratic Constraint Quadratic Problem (QCQP). Due to the non-convexity of the formulated problem, alternating optimization is used to solve the problem. Subsequently, the optimization parameters are decoupled by applying fractional programming. The problem is divided into several sub-problems and solved alternatively. User fairness is considered in the optimization problem to ensure that all the users rate exceed certain threshold. Jain's fairness index is used to measure the fairness. Numerical results show the EE is enhanced as the antenna reduction factor is increased at the expense of the SE. Optimization of RIS elements enhances EE more than optimization of users' power in passive and active RIS. Also, the optimum location for RIS is in the middle between BS and the center of user distribution circle.

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Nouran Mohamed Zaghlool Arafat

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@phdthesis{arafat2025performance,
    author = {Arafat, Nouran Mohamed Zaghlool},
    title = {{Performance Analysis of Multi-User Millimeter Wave MIMO-NOMA Systems}},
    advisor = {El-Mahdy, Ahmed and Maher, Engy A.},
    institution = {Faculty of Information Engineering and Technology},
    location = {Cairo, Egypt},
    month = {2},
    referee = {Dressler, Falko and Braun, Torsten and Newagy, Fatma and Rohiem, Alaa Eldin},
    school = {The German University in Cairo (GUC)},
    type = {PhD Thesis},
    year = {2025},
   }
   
   

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Last modified: 2025-04-17