AI based optimization of the spectrum and energy efficiency for Intelligent 6G

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During the past year, I have mainly conducted research on two topics. That is:1) Joint dynamic spectrum access and multiplexing techniques for optimizing the spectrum and energy efficiency.2) Automatic communication parameter decision based on AI in a practical uncertain wireless environment.For the first topic, a quantum annealing-based resource allocation was proposed for dynamic non-orthogonal multiple access (NOMA) systems. Specifically, an optimization objective problem is first formulated, considering the dynamic spectrum access and NOMA. Then, the optimal transmission parameters, including channel and transmission power, were derived through an exhaustive search and quantum annealing methods. Compared with the spectrum efficiency while jointly considering the dynamic spectrum access and NOMA to that without a joint consideration, it is clarified that the spectrum efficiency can be improved.For the second topic, several AI algorithms were proposed to determine the transmission parameters in a decentralized manner, including the channel, power, and spreading factor. The AI algorithms include laser chaos-based multi-armed bandit, Tug of War dynamics, and deep reinforcement learning methods. In addition, the proposed algorithms were verified by simulation and experiments conducted in a practical uncertain wireless environment.Based on the research results, 1 journal paper and more than 3 related international papers have been published. In addition, 2 journal papers have been submitted.