K Feng, Q Wang, X Li, CK Wen - … Wireless Communications …, 2020 - ieeexplore.ieee.org
… deepreinforcement … deepreinforcement learning (DRL). A DRLbased framework is proposed to tackle the non-convexity induced by the unit modulus constraints. We introduce the deep …
… show that the DQL can be used for the rate control to achieve multiple objectives in complex communicationsystems. The network model is a future space communicationsystem which …
… systemservices and resources, the agent of a network entity … With the uncertainties of mobile communicationsystems as … actions are taken with the same system states. In this case, the Q…
S Liu, C Pan, C Zhang, F Yang, J Song - Sensors, 2023 - mdpi.com
… Deepreinforcement learning for spectrum sharing in future mobilecommunicationsystem. In … Systems and Broadcasting (BMSB), Chengdu, China, 4–6 August 2021. [Google Scholar] …
… -to-Infrastructure communication scenario. Using the recent advances in training deep neural networks, we present a deepreinforcement learning model, namely deep Q-network, that …
C Wang, D Deng, L Xu, W Wang - … on Communications, 2022 - ieeexplore.ieee.org
… We consider an emergency communicationsystem including an MBS, L UAV groups, and K dynamic users. We assume the users are far from the MBS and there is no direct link. Hence…
… DRL to wirelesscommunicationnetworks. An intelligent power algorithm model based on deep neural networks (… ideas for the later development of the wirelesscommunication field. …
… Abstract—In this paper, we study an intelligent reflecting surface (IRS)-aided wireless secure communicationsystem, where an IRS is deployed to adjust its reflecting elements to secure …
B Deng, C Jiang, H Yao, S Guo… - … Communications, 2019 - ieeexplore.ieee.org
… services. Based on the framework, we then apply deepreinforcement learning (DRL) into the system … of multiobjective reinforcement learning and multiagent reinforcement learning are …