10 citations · 23 across the 7 of their papers we have counts for
7 papers
A New Look at AI-Driven NOMA-F-RANs: Features Extraction, Cooperative Caching, and Cache-Aided Computing
Zhong Yang, Yaru Fu, Yuanwei Liu +2
Non-orthogonal multiple access (NOMA) enabled fog radio access networks (NOMA-F-RANs) have been taken as a promising enabler to release network congestion, reduce delivery latency,…
Integrated 3C in NOMA-enabled Remote-E-Health Systems
Xiao Liu, Yuanwei Liu, Zhong Yang +3
A novel framework is proposed to integrate communication, control and computing (3C) into the fifth-generation and beyond (5GB) wireless networks for satisfying the ultra-reliable…
Artificial Intelligence Driven UAV-NOMA-MEC in Next Generation Wireless Networks
Zhong Yang, Mingzhe Chen, Xiao Liu +4
Driven by the unprecedented high throughput and low latency requirements in next-generation wireless networks, this paper introduces an artificial intelligence (AI) enabled framewo…
Machine Learning for User Partitioning and Phase Shifters Design in RIS-Aided NOMA Networks
Zhong Yang, Yuanwei Liu, Yue Chen +1
A novel reconfigurable intelligent surface (RIS) aided non-orthogonal multiple access (NOMA) downlink transmission framework is proposed. We formulate a long-term stochastic optimi…
Deep Learning for Latent Events Forecasting in Twitter Aided Caching Networks
Zhong Yang, Yuanwei Liu, Yue Chen +1
A novel Twitter context aided content caching (TAC) framework is proposed for enhancing the caching efficiency by taking advantage of the legibility and massive volume of Twitter d…
Cache-Aided NOMA Mobile Edge Computing: A Reinforcement Learning Approach
Zhong Yang, Yuanwei Liu, Yue Chen +1
A novel non-orthogonal multiple access (NOMA) based cache-aided mobile edge computing (MEC) framework is proposed. For the purpose of efficiently allocating communication and compu…
Learning Automata Based Q-learning for Content Placement in Cooperative Caching
Zhong Yang, Yuanwei Liu, Yue Chen +1
An optimization problem of content placement in cooperative caching is formulated, with the aim of maximizing sum mean opinion score (MOS) of mobile users. Firstly, a supervised fe…