Complexity Reduction Techniques for NOMA-based RRM Algorithms in 5G Networks

Abstract

5G technology is expected to be a revolution in mobile communications due to its flexible physical layer (PHY). It is expected to cover a wide range of applications such as industry, virtual reality (VR) and autonomous vehicles. In particular, this work is focused in one of the main use cases of 5G: enhanced Mobile Broadband (eMBB), which targets large transmission capacities. This paper proposes algorithms that optimize the distribution of radio resources in broadcast/unicast scenarios in 5G networks using Non-Orthogonal Multiple Access (NOMA) techniques. First, a methodology to measure the complexity of those algorithms is presented and compared with Time Division Multiplexing (TDM) solutions. In addition, a specific algorithm that reaches optimum solution with less computational cost is proposed here. Results indicate that the overall complexity can be reduced more than 80% in comparison with current solutions.