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    Channel assignment and power allocation for throughput improvement with PPO in B5G heterogeneous edge networks by He, Xiaoming, Mao, Yingchi, Liu, Yinqiu, Ping, Ping, Hong, Yan, Hu, Han

    Published 2024
    “…Unfortunately, uncoordinated radio resource allocation can reduce system throughput and lead to user inequity, for this reason, in this paper, channel allocation and power allocation problems are formulated to maximize the system sum rate and minimum user achievable rate. Since the construction model is non-convex and the response variables are high-dimensional, a distributed Deep Reinforcement Learning (DRL) framework called distributed Proximal Policy Optimization (PPO) is proposed to allocate or assign resources. …”
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    Journal Article
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