Abstract / truncated to 115 words (read the full abstract)

Despite the significant advancements in wireless communication technologies, inter- cell interference remains a limiting factor due to the cell-centric design of traditional mobile networks. Cell-free massive multiple-input multiple-output (MIMO) is a paradigm shift in network architecture, where we replace the fixed cell boundaries with a seamless network of cooperating access points (APs) to achieve a uniformly good performance throughout the coverage area. To harness its full potential, it is necessary to address its scalability issue and the need for dynamic optimization based on the current state of the wireless environment. Compared to conventional opti- mization techniques and (un-)supervised machine learning, deep reinforcement learn- ing (DRL) is capable of operating model-free, without requiring any prior knowledge, ... toggle 3 keywords

machine learning – cell free mimo – DRL

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