Deep Learning for Radio Resource Allocation with Diverse Quality-of-Service Requirements in 5G

29 March 2020

Papers citing "Deep Learning for Radio Resource Allocation with Diverse Quality-of-Service Requirements in 5G"

8 / 8 papers shown

Title
Hybrid-Task Meta-Learning: A Graph Neural Network Approach for Scalable and Transferable Bandwidth Allocation Xin Hao Changyang She Phee Lep Yeoh Yuhong Liu Branka Vucetic Yonghui Li 30 0 0 23 Dec 2023
Graph Neural Network-Based Bandwidth Allocation for Secure Wireless Communications Xin Hao Phee Lep Yeoh Yuhong Liu Changyang She Branka Vucetic Yonghui Li 13 4 0 13 Dec 2023
A Deep Learning Based Resource Allocator for Communication Systems with Dynamic User Utility Demands Pourya Behmandpoor Panagiotis Patrinos Marc Moonen 23 1 0 08 Nov 2023
Attention-aware Resource Allocation and QoE Analysis for Metaverse xURLLC Services Hongyang Du Jiazhen Liu Dusit Niyato Jiawen Kang Zehui Xiong Junshan Zhang Dong In Kim 47 83 0 10 Aug 2022
Graph-based Algorithm Unfolding for Energy-aware Power Allocation in Wireless Networks Boning Li Gunjan Verma Santiago Segarra 26 18 0 27 Jan 2022
Quality of service based radar resource management using deep reinforcement learning S. Durst S. Brüggenwirth 11 11 0 20 Oct 2020
A Tutorial on Ultra-Reliable and Low-Latency Communications in 6G: Integrating Domain Knowledge into Deep Learning Changyang She Chengjian Sun Zhouyou Gu Yonghui Li Chenyang Yang H. Vincent Poor Branka Vucetic 17 17 0 13 Sep 2020
Unsupervised Deep Learning for Optimizing Wireless Systems with Instantaneous and Statistic Constraints Chengjian Sun Changyang She Chenyang Yang 14 0 0 30 May 2020