Browsing by Author "Qin, Hao"
Now showing items 1-4 of 4
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A graph convolutional network-based deep reinforcement learning approach for resource allocation in a cognitive radio network
Zhao, Di; Qin, Hao; Song, Bin; Han, Beichen; Du, Xiaojiang; Guizani, Mohsen... more authors ... less authors ( MDPI , 2020 , Article)Cognitive radio (CR) is a critical technique to solve the conflict between the explosive growth of traffic and severe spectrum scarcity. Reasonable radio resource allocation with CR can effectively achieve spectrum sharing ... -
Joint resource allocation and power control for D2D communication with deep reinforcement learning in MCC
Wang, Dan; Qin, Hao; Song, Bin; Xu, Ke; Du, Xiaojiang; Guizani, Mohsen... more authors ... less authors ( Elsevier B.V. , 2021 , Article)Mission-critical communication (MCC) is one of the main goals in 5G, which can leverage multiple device-to-device (D2D) connections to enhance reliability for mission-critical communication. In MCC, D2D users can reuses ... -
A Reinforcement Learning Method for Joint Mode Selection and Power Adaptation in the V2V Communication Network in 5G
Zhao, Di; Qin, Hao; Song, Bin; Zhang, Yanli; Du, Xiaojiang; Guizani, Mohsen... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)A 5G network is the key driving factor in the development of vehicle-to-vehicle (V2V) communication technology, and V2V communication in 5G has recently attracted great interest. In the V2V communication network, users can ... -
Resource allocation in information-centric wireless networking with D2D-enabled MEC: A deep reinforcement learning approach
Wang, Dan; Qin, Hao; Song, Bin; Du, Xiaojiang; Guizani, Mohsen ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)Recently, information-centric wireless networks (ICWNs) have become a promising Internet architecture of the next generation, which allows network nodes to have computing and caching capabilities and adapt to the growing ...