A novel user clustering and efficient resource allocation in non-orthogonal mutliple access for IoT networks.

ABSTRACT: Optimal resource allocation is crucial for 5G and beyond networks, especially when connecting numerous IoT devices. In this paper, user clustering and power allocation challenges in the downlink of a multi-carrier NOMA system are investigated, with sum rate as the optimization objective. The paper presents an iterative optimization process, starting with user clustering followed by power allocation of the users. Although the simultaneous transmission for multiple users achieves high system throughput in NOMA, it leads to more energy consumption, which is limited by the battery capacity of IoT devices. Enhancing energy efficiency by considering the QoS requirement is a primary challenge in NOMA-enabled IoT devices. Currently, fixed user clustering techniques are proposed without considering

SUBMITTER: Hamedoon SM 

PROVIDER: S-EPMC11383250 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature