A Novel Power Allocation Method for Non-orthogonal Multiple Access in Cellular Uplink Network

In this paper, we propose a new power allocation method on non-orthogonal multiple access (NOMA) schemes in cellular uplink network. It is known that NOMA could be a promising candidate as a wireless access scheme for future 5G radio access technology. To enhance the spectrum efficiency, NOMA adopts a successive interference cancellation (SIC) receiver as the baseline receiver scheme for robust multiple access. With the goal of maximum total throughput for all users and make full use of bandwidth, an effective power allocation method should be utilized, in the conventional algorithm, it is a good way to get a satisfied performance such as average power allocation, water-filling method. We propose a method based on particle swarm optimization with genetic algorithm, which makes the power allocation by taking the advantage of channel state information (CSI) for each sub-channel; and can obtain a better performance comparing with the conventional method.