QoS Aware and Fair Resource Distribution for Uplink NOMA Cellular Networks

Abstract

Non orthogonal multiple access (NOMA) technique achieved a lot of interest due to its extraordinary spectral efficiency and ready to become the best possible solution for fifth generation (5G). In this paper, system throughput maximization is analyzed under the uplink NOMA scenario. The scarcity of resources motivates the researchers for finding some optimal way to allocate or share the resources among users. This paper focuses on the objective of system throughput maximization under the optimal channel and power allocation constraint. Our problem is mixed integer nonlinear programming (MINLP) problem and NP-hard to solve. Consequently, it is solved in two sequential steps. The first is channel assignment through different schemes and second is power allocation that has been done (while satisfying constraints such as power budget and quality of service (QoS)) to the optimal channel paired users. The simulation results are discussed, analyzed and the considered performance metric is system throughput.