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Nowadays, wireless communication network faces many kinds of application scenarios with different communication service requirements. Network slicing technology can provide specific services to different users. With the increasing of the demand for transmission rate, spectrum resources become scarce. Hybrid NOMA technology allows multiple users to use a channel at the same time to improve spectrum utilization. Nonconvex optimization problem in complex dynamic networks is difficult to solve by traditional methods. Reinforcement learning has a good performance in decision making.
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IEEE/ICACT20230164 Slide.03
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