7 citations · 13 across the 20 of their papers we have counts for
22 papers
Pinching Antennas for ISAC: Waveguide Architectures, Solutions, and Future Directions
Qian Gao, Ruikang Zhong
Integrated sensing and communication (ISAC) is a core design principle for sixth-generation (6G) wireless systems, yet fixed antenna geometry limits its performance. Pinching anten…
Broadband LEO Satellite Constellations for Next-Generation Navigation: Potentials, Enabling Technologies, and Challenges
Zhendong Li, Mingze Zhu, Jiahao Liu +4
The rapid deployment of broadband low Earth orbit (LEO) constellations provides new opportunities for next-generation navigation. Compared with conventional global navigation satel…
Security-Aware Pinching-Antenna Systems (PASS): Physical-Layer Security Transmission
Zhaoming Hu, Xiaochen Nie, Ruikang Zhong +3
This paper investigates heterogeneous secure multi-user transmission in pinching-antenna systems (PASS), where dynamically adjustable pinching antennas reshape both guided-wave and…
Beamforming Design for Pinching Antenna Systems Enabled Cognitive Radio Systems
Haochen Li, Ruikang Zhong, Zhaoming Hu +3
A pinching antenna system (PASS) assisted cognitive radio (CR) system is proposed. A secondary system sum rate maximization problem is formulated by jointly considering the base st…
LLM-enabled Antenna Partitioning and Beamforming Optimization for Segmented Pinching
Qian Gao, Ruikang Zhong, Hyundong Shin +1
Integrated sensing and communication (ISAC) requires spatial architectures that can flexibly balance data transmission and environment sensing. Segmented pinching antenna-assisted…
Graph-Enhanced LLM for SWAN-ISAC
Qian Gao, Ruikang Zhong, Yuanwei Liu
Segmented pinching antenna assisted integrated sensing and communication (ISAC) systems enable flexible spatial resource utilization by allowing different waveguide segments to be…
Waveform Design for Partial-Time Superimposed ISAC Systems
Xi Nan, Rugui Yao, Ye Fan +4
Nowadays, waveforms of integrated sensing and communication (ISAC) are almost based on conventional communication and sensing signal, which bounds both the communication and sensin…
Deep Learning based Three-stage Solution for ISAC Beamforming Optimization
Qian Gao, Ruikang Zhong, Yuanwei Liu
In this paper, a general ISAC system where the base station (BS) communicates with multiple users and performs target detection is considered. Then, a sum communication rate maximi…
Integrated Sensing and Communication for Segmented Waveguide-Enabled Pinching Antenna Systems
Qian Gao, Ruikang Zhong, Hyundong Shin +1
In this paper, an integrated sensing and communication (ISAC) design for segmented waveguide-enabled pinching-antenna array (SWAN) systems is proposed to improve the performance of…
RL based Beamforming Optimization for 3D Pinching Antenna assisted ISAC Systems
Qian Gao, Ruikang Zhong, Yue Liu +2
In this paper, a three-dimensional (3D) deployment scheme of pinching antenna array is proposed, aiming to enhances the performance of integrated sensing and communication (ISAC) s…
PASS-Enhanced MEC: Joint Optimization of Task Offloading and Uplink PASS Beamforming
Zhaoming Hu, Ruikang Zhong, Xidong Mu +2
A pinching-antenna system (PASS)-enhanced mobile edge computing (MEC) architecture is investigated to improve the task offloading efficiency and latency performance in dynamic wire…
CRB minimization for PASS Assisted ISAC
Haochen Li, Ruikang Zhong, Jiayi Lei +2
A multiple waveguide PASS assisted integrated sensing and communication (ISAC) system is proposed, where the base station (BS) is equipped with transmitting pinching antennas (PAs)…
Pinching Antenna Systems for Integrated Sensing and Communications
Haochen Li, Ruikang Zhong, Jiayi Lei +1
Recently, the pinching antenna system (PASS) has attracted considerable attention due to their advantages in flexible deployment and reduction of signal propagation loss. In this w…
Enabling Distributed Generative Artificial Intelligence in 6G: Mobile Edge Generation
Ruikang Zhong, Xidong Mu, Mona Jaber +1
Mobile edge generation (MEG) is an emerging technology that allows the network to meet the challenging traffic load expectations posed by the rise of generative artificial intellig…
Mobile Edge Generation-Enabled Digital Twin: Architecture Design and Research Opportunities
Xiaoxia Xu, Ruikang Zhong, Xidong Mu +2
A novel paradigm of mobile edge generation (MEG)-enabled digital twin (DT) is proposed, which enables distributed on-device generation at mobile edge networks for real-time DT appl…
Mobile Edge Generation: A New Era to 6G
Ruikang Zhong, Xidong Mu, Yimeng Zhang +2
A conception of mobile edge generation (MEG) is proposed, where generative artificial intelligence (GAI) models are distributed at edge servers (ESs) and user equipment (UE), enabl…
Caching-at-STARS: the Next Generation Edge Caching
Zhaoming Hu, Ruikang Zhong, Chao Fang +1
A simultaneously transmitting and reflecting surface (STARS) enabled edge caching system is proposed for reducing backhaul traffic and ensuring the quality of service. A novel Cach…
Hybrid Reinforcement Learning for STAR-RISs: A Coupled Phase-Shift Model Based Beamformer
Ruikang Zhong, Yuanwei Liu, Xidong Mu +3
A simultaneous transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) assisted multi-user downlink multiple-input single-output (MISO) communication system is in…
Mobile Reconfigurable Intelligent Surfaces for NOMA Networks: Federated Learning Approaches
Ruikang Zhong, Xiao Liu, Yuanwei Liu +2
A novel framework of reconfigurable intelligent surfaces (RISs)-enhanced indoor wireless networks is proposed, where an RIS mounted on the robot is invoked to enable mobility of th…
Path Design and Resource Management for NOMA enhanced Indoor Intelligent Robots
Ruikang Zhong, Xiao Liu, Yuanwei Liu +2
A communication enabled indoor intelligent robots (IRs) service framework is proposed, where non-orthogonal multiple access (NOMA) technique is adopted to enable highly reliable co…
NOMA in UAV-aided cellular offloading: A machine learning approach
Ruikang Zhong, Xiao Liu, Yuanwei Liu +1
A novel framework is proposed for cellular offloading with the aid of multiple unmanned aerial vehicles (UAVs), while non-orthogonal multiple access (NOMA) technique is employed at…
Multi-Agent Reinforcement Learning in NOMA-aided UAV Networks for Cellular Offloading
Ruikang Zhong, Xiao Liu, Yuanwei Liu +1
A novel framework is proposed for cellular offloading with the aid of multiple unmanned aerial vehicles (UAVs), while the non-orthogonal multiple access (NOMA) technique is employe…