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Resource Allocation in Uplink NOMA-IoT Networks: A Reinforcement-Learning Approach
(IEEE, 2021-03-01)
Non-orthogonal multiple access (NOMA) exploits the potential of the power domain to enhance the connectivity for the Internet of Things (IoT). Due to time-varying communication channels, dynamic user clustering is a promising ...
Transmit Power Pool Design for Grant-Free NOMA-IoT Networks via Deep Reinforcement Learning
(IEEE, 2021-06-01)
Grant-free non-orthogonal multiple access (GFNOMA) is a potential multiple access framework for short-packet internet-of-things (IoT) networks to enhance connectivity. However, the resource allocation problem in GF-NOMA ...