Non-orthogonal multiple access (NOMA) has become the key technology in the future\n5G wireless networks. It can achieve multi-user multiplexing in the transmit power domain by\nallocating different power, which can effectively improve the system capacity and spectral\nefficiency. Aiming at the problem of high computational complexity and improving system\ncapacity in non-orthogonal multiple access (NOMA) based on orthogonal frequency division\nmultiple access (OFDMA) for 5G wireless cellular networks, this paper proposes an improved low\ncomplexity radio resource allocation algorithm for user grouping and power allocation\noptimization. The optimization model is established with the goal of maximizing system capacity.\nThrough the step-by-step optimization idea, the complex non-convex optimization problem is\ndecomposed into two sub-problems to be solved separately. Firstly, all users are grouped based on\nthe greedy method, and then the power allocation is performed on the sub-carriers of the fixed\ngroup. Simulation results show that the proposed algorithm has better system capacity than the\nexisting state-of-the-art algorithms and reduced complexity performance.
Loading....