Hücresel ağlarda orantili adil zamanlamanin ikinci mertebeden ergodik analizi

This dissertation discusses a method based on Gaussian Based approximation to evaluate the effctiveness of the Propor tional Fair Scheduling in cellular network wireless networks. The Propor tional Fair ness Scheduling is found ver y useful in the 4th Generation 4G and the 5th generation 5G as it balances the effiency of the throughput and the fair ness of the users. Never theless when channel conditions become non-unifor m the users tend to be more active, thus their scheduling problems compounding especially in crowded and fast changing environment. In this regard, by assuming that the users' rate distr ibutions are Gaussian, a model is developed which facilitates easy calculation of mean throughput and fair ness measures. In this disser tation, the Gaussian-based analytical approximation and the system-level simulation studies are investigated independently, and the simulation platfor m implemented in MATLAB is subsequently used for validation and comparative evaluation of the analytical model. Simulations take into account channel quality indicator (CQI) provision, Rayleigh fading, movement of users, and a pr ior ity based modifiation of the scheduler. A par ticular simulation studied three users: the same, a propor tionately changing and a completely diffr ing users. Parameters such as average user and system overall throughputs as well as jain's Fair ness and CQI load profies were evaluated for each case. Moreover, enhanced PF scheduler model with weights used for user load balancing was created and evaluated. The analysis of the simulations shows that although such adjustment could help improve individual parameters this could lead to an inevitable even distr ibution of resources between users. Simulation Models show g reat per for mance, with PF method, when the models based on Gaussian approximation are used as they tend to enable high reliable per for mance, and with ease, minimized the resources needed for scheduling strategy assessment. The results of this study will contr ibute to the improvement of such systems in 5G and 6G where scheduling and resource allocation mechanisms should be fur ther developed.