Deep Reinforcement Learning based Resource Allocation in Low Latency Edge Computing Networks

Yang, Tianyu; Hu, Yulin; Gursoy, M. Cenk; Schmeink, Anke; Mathar, Rudolf

doi:10.1109/iswcs.2018.8491089

Deep Reinforcement Learning based Resource Allocation in Low Latency Edge Computing Networks

In this paper, we investigate strategies for the allocation of computational resources using deep reinforcement learning in mobile edge computing networks that operate with finite blocklength codes to support low latency communications. The end-to-end (E2E) reliability of the service is addressed…