Publications (34)
Token Communications (TokCom): A Unified AI-Native Communication Framework
Yaru Fu, Liang Ji, Sabita Maharjan +1
As artificial intelligence (AI) evolves from static perception to generative reasoning and autonomous agency, the fundamental principles of wireless communications are undergoing a…
Federated Stochastic Gradient Descent Begets Self-Induced Momentum
Howard H. Yang, Zuozhu Liu, Yaru Fu +2
Federated learning (FL) is an emerging machine learning method that can be applied in mobile edge systems, in which a server and a host of clients collaboratively train a statistic…
Enhancing Mobile Crowdsensing Efficiency: A Coverage-aware Resource Allocation Approach
Yaru Fu, Yue Zhang, Zheng Shi +2
In this study, we investigate the resource management challenges in next-generation mobile crowdsensing networks with the goal of minimizing task completion latency while ensuring…
Outage Performance and Optimal Design of MIMO-NOMA Enhanced Small Cell Networks With Imperfect Channel-State Information
Zheng Shi, Hong Wang, Yaru Fu +3
This paper focuses on boosting the performance of small cell networks (SCNs) by integrating multiple-input multiple-output (MIMO) and non-orthogonal multiple access (NOMA) in consi…
Zero-Forcing Based Downlink Virtual MIMO-NOMA Communications in IoT Networks
Zheng Shi, Hong Wang, Yaru Fu +4
To support massive connectivity and boost spectral efficiency for internet of things (IoT), a downlink scheme combining virtual multiple-input multiple-output (MIMO) and nonorthogo…
Energy Efficiency Maximization for Discrete Activation based NOMA-assisted Pinching-Antenna Systems
Yishi Zhang, Aditya Powari, Kaidi Wang +2
Pinching-antenna systems is a promising architecture for flexible wireless communications, but energy efficiency (EE) maximization remains largely unexplored, as limited existing s…