QoS-Aware Scheduling in New Radio Using Deep Reinforcement Learning

2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)(2021)

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摘要
Fifth-generation (5G) New Radio (NR) cellular networks support a wide range of new services, many of which require an application-specific quality of service (QoS), e.g. in terms of a guaranteed minimum bit-rate or a maximum tolerable delay. Therefore, scheduling multiple parallel data flows, each serving a unique application instance, is bound to become an even more challenging task compared to t...
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关键词
Cellular networks,Scheduling algorithms,Heuristic algorithms,Quality of service,Reinforcement learning,Throughput,New Radio
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