QoS-Aware Scheduling in New Radio Using Deep Reinforcement Learning

Jakob Stigenberg,Vidit Saxena,Soma Tayamon,Euhanna Ghadimi

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

Cited 1|Views9

No score

Abstract

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...

Translated text

Key words

Cellular networks,Scheduling algorithms,Heuristic algorithms,Quality of service,Reinforcement learning,Throughput,New Radio

AI Read Science

Must-Reading Tree

Example

Generate MRT to find the research sequence of this paper

Chat Paper

Summary is being generated by the instructions you defined