118 citations · 330 across the 16 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…
Energy-Efficient Resource Allocation for NOMA enabled MEC Networks with Imperfect CSI
Fang Fang, Kaidi Wang, Zhiguo Ding +1
The combination of non-orthogonal multiple access (NOMA) and mobile edge computing (MEC) can significantly improve the spectrum efficiency beyond the fifth-generation network. In t…
Joint Optimization of Beamforming, Phase-Shifting and Power Allocation in a Multi-cluster IRS-NOMA Network
Ximing Xie, Fang Fang, Zhiguo Ding
The combination of non-orthogonal multiple access (NOMA) and intelligent reflecting surface (IRS) is an efficient solution to significantly enhance the energy efficiency of the wir…
Optimal Resource Allocation for Delay Minimization in NOMA-MEC Networks
Fang Fang, Yanqing Xu, Zhiguo Ding +3
Multi-access edge computing (MEC) can enhance the computing capability of mobile devices, while non-orthogonal multiple access (NOMA) can provide high data rates. Combining these t…
Energy-Efficient Design of IRS-NOMA Networks
Fang Fang, Yanqing Xu, Quoc-Viet Pham +1
Combining intelligent reflecting surface (IRS) and non-orthogonal multiple access (NOMA) is an effective solution to enhance communication coverage and energy efficiency. In this p…
Intelligent User Clustering and Robust Beamforming Design for UAV-NOMA Downlink
Yanqing Xu, Fang Fang, Donghong Cai +1
In this work, we consider a downlink NOMA network with multiple single-antenna users and multi-antenna UAVs. In particular, the users are spatially located in several clusters by f…
HARQ-CC Enabled NOMA Designs With Outage Probability Constraints
Yanqing Xu, Donghong Cai, Fang Fang +3
In this paper, we aim to design an adaptive power allocation scheme to minimize the average transmit power of a hybrid automatic repeat request with chase combining (HARQ-CC) enabl…
A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art
Quoc-Viet Pham, Fang Fang, Vu Nguyen Ha +5
Driven by the emergence of new compute-intensive applications and the vision of the Internet of Things (IoT), it is foreseen that the emerging 5G network will face an unprecedented…
Optimal Task Assignment and Power Allocation for NOMA Mobile-Edge Computing Networks
Fang Fang, Yanqing Xu, Zhiguo Ding +3
Mobile edge computing (MEC) can enhance the computing capability of mobile devices, and non-orthogonal multiple access (NOMA) can provide high data rates. Combining these two techn…
Interplay Between NOMA and Other Emerging Technologies: A Survey
Mojtaba Vaezi, Gayan Amarasuriya, Yuanwei Liu +3
Non-orthogonal multiple access (NOMA) has been widely recognized as a promising way to scale up the number of users, enhance the spectral efficiency, and improve the user fairness…
Energy-Efficient Resource Allocation in NOMA Heterogeneous Networks
Haijun Zhang, Fang Fang, Julian Cheng +3
Non-orthogonal multiple access (NOMA) has attracted much recent attention owing to its capability for improving the system spectral efficiency in wireless communications. Deploying…