Optimal Resource Allocation in Wireless Networks with Non-Orthogonal Multiple Access

Abstract

Due to the unprecedentedly high demand of wireless spectrum, one of the central missions in wireless networks is to technically improve the spectrum efficiency. Thus, many techniques have been devised, in which non-orthogonal multiple access (NOMA) is quite promising. In NOMA, the strengthened spectrum efficiency is majorly due to the intelligent superimposition and detection of users' signals. Resource allocation plays a pivotal role in NOMA networks, by which the system performance can be maximized at the optimality. Accordingly, a lot of efforts have been made to achieve optimal resource allocation under a wide variety of objectives. In this research, driven by the needs of spectrum-efficient and energy-efficient designs, we aim to identify the optimal solutions in several NOMA-based wireless networks. To be specific, resource allocation problems are investigated in three wireless networks. Firstly, in an overlay cognitive NOMA network enabled with wireless energy harvesting, we investigate the maximization of secondary throughput under the case with successive interference cancellation (SIC) and the case without SIC. Secondly, the maximization of network utility is studied in one downlink NOMA network. Thirdly, one design of energy-aware resource allocation is investigated in one NOMA multi-access edge computing (MEC) network.