9 citations · 18 across the 12 of their papers we have counts for
12 papers
Joint Beamforming Design and Port Selection in Fluid Antenna-Assisted Multi-Cell Networks: A Personalized Federated Learning Approach
Liwen Gao, Li Zheng, Xing Hao +2
This paper investigates joint beamforming and port selection in multi-cell fluid antenna-assisted (FAS) networks. In such networks, active beamforming and discrete FA port selectio…
Near-Field Dual-UPA Communications: A Generalized Geometric Approach
Li Zheng, Xing Hao, Ziru Chen +3
This paper investigates a near-field (NF) multiple-input multiple-output (MIMO) communication system equipped with dual uniform planar arrays (UPAs). We first develop a generalized…
Hierarchical Reinforcement Learning for Next Generation of Multi-AP Coordinated Spatial Reuse
Ziru Chen, Salvatore Talarico, Qing Xia +3
In next generation of Wi-Fi networks Multiple Access Point Coordination (MAPC) is poised to significantly enhance the network performance by enabling a set of Access Points (APs) t…
Context-aware Container Orchestration in Serverless Edge Computing
Peiyuan Guan, Chen Chen, Ziru Chen +3
Adopting serverless computing to edge networks benefits end-users from the pay-as-you-use billing model and flexible scaling of applications. This paradigm extends the boundaries o…
Optimizing NOMA Transmissions to Advance Federated Learning in Vehicular Networks
Ziru Chen, Zhou Ni, Peiyuan Guan +4
Diverse critical data, such as location information and driving patterns, can be collected by IoT devices in vehicular networks to improve driving experiences and road safety. Howe…
Mobile MIMO Channel Prediction with ODE-RNN: a Physics-Inspired Adaptive Approach
Zhuoran Xiao, Zhaoyang Zhang, Zirui Chen +2
Obtaining accurate channel state information (CSI) is crucial and challenging for multiple-input multiple-output (MIMO) wireless communication systems. Conventional channel estimat…
A Deep Reinforcement Learning based Approach for NOMA-based Random Access Network with Truncated Channel Inversion Power Control
Ziru Chen, Ran Zhang, Lin X. Cai +2
As a main use case of 5G and Beyond wireless network, the ever-increasing machine type communications (MTC) devices pose critical challenges over MTC network in recent years. It is…
Optimizing Non-Orthogonal Multiple Access in Random Access Networks
Ziru Chen, Yong Liu, Sami Khairy +3
Non-orthogonal multiple access (NOMA) has been considered as a promising solution for improving the spectrum efficiency of next-generation wireless networks. In this paper, the per…
Analysis of RF Energy Harvesting in Uplink-NOMA IoT-based Network
Zhou Ni, Ziru Chen, Qinbo Zhang +1
Internet of Things (IoT) systems in general consist of a lot of devices with massive connectivity. Those devices are usually constrained with limited energy supply and can only ope…
A Stochastic Geometry Analysis of Energy Harvesting in Large Scale Wireless Networks
Ziru Chen, Zhao Chen, Lin X. Cai +2
In this paper, the theoretical sustainable capacity of wireless networks with radio frequency (RF) energy harvesting is analytically studied. Specifically, we consider a large scal…
A Hybrid Approach for Efficient Wireless Information and Power Transfer in Green C-RAN
Xu Li, Zhao Chen, Aurobinda Laha +3
In this paper, we consider a green cloud radio access network (C-RAN) with simultaneous wireless and power transfer ability. In order to reduce the energy consumed for updating the…
Energy-Throughput Tradeoff in Sustainable Cloud-RAN with Energy Harvesting
Zhao Chen, Ziru Chen, Lin X. Cai +1
In this paper, we investigate joint beamforming for energy-throughput tradeoff in a sustainable cloud radio access network system, where multiple base stations (BSs) powered by ind…