engLiu, FeiPetrova, MarinaJorswieck, Eduard A.Design and performance analysis of dynamic resource allocation in OMA and NOMA networksinfo:eu-repo/classification/ddc/621.3dynamic resource allocationnon-orthogonal multiple accessorthogonal multiple accessDuring the last decades, wireless cellular networks have been developing rapidly, moving from supporting only analog voice services to supporting a plethora of digital mobile applications. In this continuous and intensive evolutionary process, radio access technology has always played an important role in enabling efficient multi-user access to the limited available spectrum. Moreover, dynamic and efficient allocation of radio resources is necessary for supporting reliable and high-speed multi-user connectivity under fading and time-varying wireless channels. This thesis focuses on the dynamic resource allocation problems in both of the orthogonal and non-orthogonal multiple access networks. The major objectives of this work are to design highly efficient dynamic resource allocation schemes, in particular, user scheduling, channel and power allocation for optimized system performance, and develop analytical solutions to assess their performance in different communication scenarios. In the first part of the thesis, we focus on the performance analysis of dynamic resource allocation in the orthogonal multiple access networks. First, we build stochastic channel models for depicting the probability distributions of instantaneous channel states in multi-cell networks. Based on our channel models, we develop a framework for performance analysis of various resource allocation schemes, such as the max-sum rate, max-min rate, and proportional fair scheduling. We utilize the analytical performance to estimate ergodic user data rates. The estimation results are verified to be very accurate even with limited channel state information. To present a practical application of our analytical performance, we then use the estimated data rates to assist user association and design an inter-cell handover scheme for traffic load balancing in heterogeneous cellular networks. Furthermore, we extend our performance analysis of dynamic resource allocation to the case of on-off bursty traffic flows, which are used for modeling the increasingly popular streaming services at the session level. As one promising candidate radio access technology for the upcoming 5G networks, non-orthogonal multiple access (NOMA) introduces a new dimension of user multiplexing in the power domain. Thus, in the second part of the thesis, we address the power allocation problem and design dynamic channel and power allocation (DCPA) schemes for NOMA networks. Our contributions in this part are twofold. First, we design novel low-complexity DCPA schemes for single-channel and multi-channel NOMA systems, respectively. Compared to the other existing schemes in the literature, our proposed solutions significantly improve the transmission performance of NOMA with extremely reduced computational complexity, and thus more favorable to practical applications. Then, we develop, as far we are aware of, the first analytical solution to the performance of DCPA for NOMA systems and apply it to user data rate estimation. With different system configurations, we study the impacts of multi-user and multi-channel diversities on the performance of NOMA, serving as a guideline for its optimization and implementation in the future networks.Aachen 1 Online-Ressource (iv, 168 Seiten) : Illustrationen, Diagramme (2019). doi:10.18154/RWTH-2019-10490 = Dissertation, Rheinisch-Westfälische Technische Hochschule Aachen, 2019info:eu-repo/semantics/doctoralThesisinfo:eu-repo/semantics/publishedVersion2019info:eu-repo/semantics/openAccessDEhttps://publications.rwth-aachen.de/record/771929https://publications.rwth-aachen.de/search?p=id:%22RWTH-2019-10490%22StudentsStudent Financial Aid ProvidersTeachersResearchersinfo:eu-repo/semantics/altIdentifier/doi/10.18154/RWTH-2019-10490