118 citations · 280 across the 14 of their papers we have counts for
16 papers
Joint Age-based Client Selection and Resource Allocation for Communication-Efficient Federated Learning over NOMA Networks
Bibo Wu, Fang Fang, Xianbin Wang
In federated learning (FL), distributed clients can collaboratively train a shared global model while retaining their own training data locally. Nevertheless, the performance of FL…
Joint Robust Beamforming Design for WPT-assisted D2D Communications in MISO-NOMA: Fractional Programming and Deep Reinforcement Learning
Shiyu Jiao, Fang Fang, Zhiguo Ding
This paper proposes a scheme for the envisioned sixth-generation (6G) ultra-massive Machine Type Communications(umMTC). In particular, wireless power transfer (WPT) assisted commun…
Aerial Computing: A New Computing Paradigm, Applications, and Challenges
Quoc-Viet Pham, Rukhsana Ruby, Fang Fang +5
In existing computing systems, such as edge computing and cloud computing, several emerging applications and practical scenarios are mostly unavailable or only partially implemente…
Energy-Efficient Design for a NOMA assisted STAR-RIS Network with Deep Reinforcement Learning
Yi Guo, Fang Fang, Donghong Cai +1
Simultaneous transmitting and reflecting reconfigurable intelligent surfaces (STAR-RISs) has been considered as a promising auxiliary device to enhance the performance of the wirel…
DRL-Assisted Resource Allocation for NOMA-MEC Offloading with Hybrid SIC
Haodong Li, Fang Fang, Zhiguo Ding
Multi-access edge computing (MEC) and non-orthogonal multiple access (NOMA) have been regarded as promising technologies to improve computation capability and offloading efficiency…
What Role Do Intelligent Reflecting Surfaces Play in Multi-Antenna Non-Orthogonal Multiple Access?
Arthur S. de Sena, Dick Carrillo, Fang Fang +6
Massive multiple-input multiple-output (MIMO) and non-orthogonal multiple access (NOMA) are two key techniques for enabling massive connectivity in future wireless networks. A mass…