Cellular base station downlink power allocation using model-free reinforcement learning
With the maturity of 5G and IoT technologies, the number of base stations(BS) and end-user equipment(UE) is expected to increase dramatically. Therefore, the problem of an optimal solution for complex resource and power allocation in cellular networks has become a research topic. This is especially...
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格式: | Thesis-Master by Coursework |
語言: | English |
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Nanyang Technological University
2020
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在線閱讀: | https://hdl.handle.net/10356/143574 |
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機構: | Nanyang Technological University |
語言: | English |