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Cognitive Radio Resource Scheduling using Multi agent QLearning for LTE. (arXiv:2205.02765v1 [cs.NI])
May 6, 2022, 1:11 a.m. | Najem N Sirhan, Manel Martinez Ramon
cs.LG updates on arXiv.org arxiv.org
In this paper, we propose, implement, and test two novel downlink LTE
scheduling algorithms. The implementation and testing of these algorithms were
in Matlab, and they are based on the use of Reinforcement Learning, more
specifically, the Qlearning technique for scheduling two types of users. The
first algorithm is called a Collaborative scheduling algorithm, and the second
algorithm is called a Competitive scheduling algorithm. The first type of the
scheduled users is the Primary Users, and they are the licensed …
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