67 citations · 132 across the 36 of their papers we have counts for
36 papers
Multimodal Learning for MIMO Beam Prediction Based on Variational Inference
Zijian Zheng, Wenqiang Yi, Hyundong Shin +1
Accurate beam prediction is essential for mitigating signalling overhead and latency in integrated sensing and communication-enabled massive multi-input multi-output systems. With…
Reconfigurable Intelligent Surface aided Integrated-Navigation-and-Communication in Urban Canyons: A Satellite Selection Approach
Tianwei Hou, Da Guan, Xin Sun +4
This study investigates the application of a simultaneous transmitting and reflecting reconfigurable intelligent surface (STAR-RIS)-aided medium-Earth-orbit (MEO) satellite network…
Federated Contrastive Learning for Personalized Semantic Communication
Yining Wang, Wanli Ni, Wenqiang Yi +3
In this letter, we design a federated contrastive learning (FedCL) framework aimed at supporting personalized semantic communication. Our FedCL enables collaborative training of lo…
Secrecy Outage Probability Analysis for Downlink RIS-NOMA Networks with On-Off Control
Yingjie Pei, Xinwei Yue, Wenqiang Yi +3
Reconfigurable intelligent surface (RIS) has been regarded as a promising technology since it has ability to create the favorable channel conditions. This paper investigates the se…
Multi-Objective Optimisation of URLLC-Based Metaverse Services
Xinyu Gao, Wenqiang Yi, Yuanwei Liu +1
Metaverse aims for building a fully immersive virtual shared space, where the users are able to engage in various activities. To successfully deploy the service for each user, the…
Physical Layer Security for STAR-RIS-NOMA: A Stochastic Geometry Approach
Ziyi Xie, Yuanwei Liu, Wenqiang Yi +2
In this paper, a stochastic geometry based analytical framework is proposed for secure simultaneous transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) assist…
Is the Envelope Beneficial to Non-Orthogonal Multiple Access?
Ziyi Xie, Wenqiang Yi, Xuanli Wu +2
Non-orthogonal multiple access (NOMA) is capable of serving different numbers of users in the same time-frequency resource element, and this feature can be leveraged to carry addit…
Knowledge-aided Federated Learning for Energy-limited Wireless Networks
Zhixiong Chen, Wenqiang Yi, Yuanwei Liu +1
The conventional model aggregation-based federated learning (FL) approach requires all local models to have the same architecture, which fails to support practical scenarios with h…
DRL Enabled Coverage and Capacity Optimization in STAR-RIS Assisted Networks
Xinyu Gao, Wenqiang Yi, Yuanwei Liu +2
Simultaneously transmitting and reflecting reconfigurable intelligent surfaces (STAR-RISs) is a promising passive device that contributes to a full-space coverage via transmitting…
Dynamic Task Software Caching-assisted Computation Offloading for Multi-Access Edge Computing
Zhixiong Chen, Wenqiang Yi, Atm S. Alam +1
In multi-access edge computing (MEC), most existing task software caching works focus on statically caching data at the network edge, which may hardly preserve high reusability due…
Ergodic Rate Analysis of STAR-RIS Aided NOMA Systems
Boqun Zhao, Chao Zhang, Wenqiang Yi +1
This letter analyzes the ergodic rates of a simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) aided non-orthogonal multiple access (NOMA) sys…
Intelligent Trajectory Design for RIS-NOMA aided Multi-robot Communications
Xinyu Gao, Xidong Mu, Wenqiang Yi +1
A novel reconfigurable intelligent surface-aided multi-robot network is proposed, where multiple mobile robots are served by an access point (AP) through non-orthogonal multiple ac…
Coverage and Capacity Optimization in STAR-RISs Assisted Networks: A Machine Learning Approach
Xinyu Gao, Wenqiang Yi, Alexandros Agapitos +2
Coverage and capacity are the important metrics for performance evaluation in wireless networks, while the coverage and capacity have several conflicting relationships, e.g. high t…
Semi-Integrated-Sensing-and-Communication (Semi-ISaC): From OMA to NOMA
Chao Zhang, Wenqiang Yi, Yuanwei Liu +1
The new concept of semi-integrated-sensing-and-communication (Semi-ISaC) is proposed for next-generation cellular networks. Compared to the state-of-the-art, where the total bandwi…
Efficient Wireless Federated Learning with Partial Model Aggregation
Zhixiong Chen, Wenqiang Yi, Arumugam Nallanathan +1
The data heterogeneity across devices and the limited communication resources, e.g., bandwidth and energy, are two of the main bottlenecks for wireless federated learning (FL). To…
Semi-Integrated-Sensing-and-Communication (Semi-ISaC) Networks Assisted by NOMA
Chao Zhang, Wenqiang Yi, Yuanwei Liu
This paper investigates non-orthogonal multiple access (NOMA) assisted integrated sensing and communication (ISaC) networks. Compared to the conventional ISaC networks, where the t…
A Reliable Reinforcement Learning for Resource Allocation in Uplink NOMA-URLLC Networks
Waleed Ahsan, Wenqiang Yi, Yuanwei Liu +1
In this paper, we propose a deep state-action-reward-state-action (SARSA) learning approach for optimising the uplink resource allocation in non-orthogonal multiple access (NOM…
STAR-RIS Aided NOMA in Multi-Cell Networks: A General Analytical Framework with Gamma Distributed Channel Modeling
Ziyi Xie, Wenqiang Yi, Xuanli Wu +2
The simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) is capable of providing full-space coverage of smart radio environments. This work inve…
STAR-IOS Aided NOMA Networks: Channel Model Approximation and Performance Analysis
Chao Zhang, Wenqiang Yi, Yuanwei Liu +2
Simultaneous transmitting and reflecting intelligent omini-surfaces (STAR-IOSs) are able to achieve full coverage "smart radio environments". By splitting the energy or altering th…
A Power-Pool-Based Power Control in Semi-Grant-Free NOMA Transmission
Muhammad Fayaz, Wenqiang Yi, Yuanwei Liu +1
In this paper, we generate a transmit power pool (PP) for Internet of things (IoT) networks with semi-grant-free non-orthogonal multiple access (SGF-NOMA) via multi-agent deep rein…
Modeling and Coverage Analysis for RIS-aided NOMA Transmissions in Heterogeneous Networks
Ziyi Xie, Wenqiang Yi, Xuanli Wu +2
Reconfigurable intelligent surface (RIS) has been regarded as a promising tool to strengthen the quality of signal transmissions in non-orthogonal multiple access (NOMA) networks.…
Multi-cell NOMA: Coherent Reconfigurable Intelligent Surfaces Model With Stochastic Geometry
Chao Zhang, Wenqiang Yi, Yuanwei Liu +1
Reconfigurable intelligent surfaces (RISs) become promising for enhancing non-orthogonal multiple access (NOMA) systems, i.e., enhancing the channel quality and altering the SIC or…
Developing NOMA to Next Generation Multiple Access (NGMA): Future Vision and Research Opportunities
Yuanwei Liu, Wenqiang Yi, Zhiguo Ding +3
As a prominent member of the next generation multiple access (NGMA) family, non-orthogonal multiple access (NOMA) has been recognized as a promising multiple access candidate for t…
Transmit Power Pool Design for Grant-Free NOMA-IoT Networks via Deep Reinforcement Learning
Muhammad Fayaz, Wenqiang Yi, Yuanwei Liu +1
Grant-free non-orthogonal multiple access (GF-NOMA) is a potential multiple access framework for short-packet internet-of-things (IoT) networks to enhance connectivity. However, th…