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

• DOI: 10.1371/journal.pone.0309695
• Publication Date: 2024-09-09T17:24:37Z
• Authors: Syed Muhammad Ham...; Jawwad Nasar Chattha; Muhammad Bilal
• Keywords: Karush–Kuhn–Tucker conditions

Optimal resource allocation is crucial for 5G and beyond networks, especially when connecting numerous IoT devices. In this paper, user clustering power challenges in the downlink of a multi-carrier NOMA system are investigated, with sum rate as optimization objective. The paper presents an iterative process, starting followed by users. Although simultaneous transmission multiple users achieves high throughput NOMA, it leads to more energy consumption, which limited battery capacity Enhancing efficiency considering QoS requirement primary challenge NOMA-enabled Currently, fixed techniques proposed without diversity heterogeneity channels, leading poor performance. technique based on partial brute force search (P-BFS) method, reduces complexity compared traditional exhaustive method. After clustering, we performed optimal using Lagrangian multiplier method Karush-Kuhn-Tucker (KKT) conditions each assigned subchannel cluster. Lastly, deep neural network (DNN) P-BFS scheme used reduce allocation’s further. simulation results show significant improvement network.