Energy Efficient Resource Allocation Approach for Uplink NOMA Multi-Cell Systems Based on Multi-Agent DRL

Nonorthogonal multiple access (NOMA) technology shows the potential for improving spectral efficiency and enables massive connectivity in future wireless networks. Unlike orthogonal schemes that require separate resources for each user, NOMA allows multiple users to share the same frequency and time...

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Bibliographic Details

Published in:	IEEE Wireless Communications and Networking Conference : [proceedings] : WCNC pp. 1 - 6
Main Authors:	Rabee, Ayman, Barhumi, Imad
Format:	Conference Proceeding
Language:	English
Published:	IEEE 21.04.2024
Subjects:	Benchmark testing deep Q network (DQN) deep reinforcement learning (DRL) multi-agent twin-delayed DDPG (MATD3) NOMA Nonorthogonal multiple access (NOMA) Reinforcement learning Simulation Spectral efficiency Time-frequency analysis Wireless networks
ISSN:	1558-2612
Online Access:	Get full text
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