834 citations · 2.3k across the 57 of their papers we have counts for
61 papers
Antenna Coding Design for Pixel Antenna Empowered Rate-Splitting Multiple Access
Haobo Huang, Yijie Mao, Hongyu Li +1
This work explores the integration of pixel antennas and rate-splitting multiple access (RSMA) to enhance spectral efficiency in multi-user multiple-input single-output (MU-MISO) s…
Split and Aggregation Learning for Foundation Models Over Mobile Embodied AI Network (MEAN): A Comprehensive Survey
Qianzhou Chen, Siqi Sun, Minrui Xu +6
The rapid advancements in foundation models and sixth-generation (6G) wireless communication systems necessitate the development of efficient, scalable, and privacy-preserving mach…
Two-Layer Microwave Linear Analog Computer (MiLAC)-aided Multi-user MISO Networks
Xiaohua Zhou, Tianyu Fang, Yijie Mao +1
Microwave linear analog computer (MiLAC)-aided transmit beamforming, which processes transmitted symbols entirely in the analog domain, has recently emerged as a promising alternat…
Robust Max-Min Fair Beamforming Design for Rate Splitting Multiple Access-aided Visible Light Communications
Zhengqing Qiu, Yijie Mao, Shuai Ma +1
This paper addresses the robust beamforming design for rate splitting multiple access (RSMA)-aided visible light communication (VLC) networks with imperfect channel state informati…
Max-Min Fairness for Uplink Rate-Splitting Multiple Access with Finite Blocklength
Jiawei Xu, Yijie Mao
In this letter, we investigate the performance of Max Minimum Fairness (MMF) for uplink Rate-Splitting Multiple Access (RSMA) in short-packet communications. Specifically, consider…
Multiple Access Techniques for Intelligent and Multi-Functional 6G: Tutorial, Survey, and Outlook
Bruno Clerckx, Yijie Mao, Zhaohui Yang +7
Multiple access (MA) is a crucial part of any wireless system and refers to techniques that make use of the resource dimensions to serve multiple users/devices/machines/services, i…
Optimal Beamforming Structure for Rate Splitting Multiple Access
Tianyu Fang, Yijie Mao
In this paper, we aim at maximizing the weighted sum-rate (WSR) of rate splitting multiple access (RSMA) in multi-user multi-antenna transmission networks through the joint optimiz…
Transmitter Side Beyond-Diagonal Reconfigurable Intelligent Surface for Massive MIMO Networks
Anup Mishra, Yijie Mao, Carmen D'Andrea +2
This letter focuses on a transmitter or base station (BS) side beyond-diagonal reflecting intelligent surface (BD-RIS) deployment strategy to enhance the spectral efficiency (SE) o…
A Low-Complexity Beamforming Design for Beyond-Diagonal RIS aided Multi-User Networks
Tianyu Fang, Yijie Mao
Beyond-diagonal reconfigurable intelligent surface (BD-RIS) has been proposed recently as a novel and generalized RIS architecture that offers enhanced wave manipulation flexibilit…
Distributed Rate-Splitting Multiple Access for Multilayer Satellite Communications
Yunnuo Xu, Longfei Yin, Yijie Mao +2
Future wireless networks, in particular, 5G and beyond, are anticipated to deploy dense Low Earth Orbit (LEO) satellites to provide global coverage and broadband connectivity. Howe…
A Practical Max-Min Fair Resource Allocation Algorithm for Rate-Splitting Multiple Access
Facheng Luo, Yijie Mao
This letter introduces a novel resource allocation algorithm for achieving max-min fairness (MMF) in a rate-splitting multiple access (RSMA) empowered multi-antenna broadcast chann…
Rate-Splitting Multiple Access for Simultaneous Multi-User Communication and Multi-Target Sensing
Kexin Chen, Yijie Mao, Longfei Yin +2
In this paper, we initiate the study of rate-splitting multiple access (RSMA) for a mono-static integrated sensing and communication (ISAC) system, where the dual-functional base s…
Vertical Federated Learning over Cloud-RAN: Convergence Analysis and System Optimization
Yuanming Shi, Shuhao Xia, Yong Zhou +3
Vertical federated learning (FL) is a collaborative machine learning framework that enables devices to learn a global model from the feature-partition datasets without sharing loca…
Green Federated Learning Over Cloud-RAN with Limited Fronthual Capacity and Quantized Neural Networks
Jiali Wang, Yijie Mao, Ting Wang +1
In this paper, we propose an energy-efficient federated learning (FL) framework for the energy-constrained devices over cloud radio access network (Cloud-RAN), where each device ad…
Sum-Rate Maximization for Active RIS-Aided Downlink RSMA System
Xinhao Li, Tao Wang, Haonan Tong +3
In this paper, the problem of sum-rate maximization for an active reconfigurable intelligent surface (RIS) assisted downlink rate-splitting multiple access (RSMA) transmission syst…
Reconfigurable Intelligent Surface Empowered Rate-Splitting Multiple Access for Simultaneous Wireless Information and Power Transfer
Chengzhong Tian, Yijie Mao, Kangchun Zhao +2
Rate-splitting multiple access (RSMA) and reconfigurable intelligent surface (RIS) have been both recognized as promising techniques for 6G. The benefits of combining the two techn…
STAR-RIS Assisted Over-the-Air Vertical Federated Learning in Multi-Cell Wireless Networks
Xiangyu Zeng, Yijie Mao, Yuanming Shi
Vertical federated learning (FL) is a critical enabler for distributed artificial intelligence services in the emerging 6G era, as it allows for secure and efficient collaboration…
A Primer on Rate-Splitting Multiple Access: Tutorial, Myths, and Frequently Asked Questions
Bruno Clerckx, Yijie Mao, Eduard A. Jorswieck +4
Rate-Splitting Multiple Access (RSMA) has emerged as a powerful multiple access, interference management, and multi-user strategy for next generation communication systems. In this…
Reconfigurable Intelligent Surfaces Empowered Cooperative Rate Splitting with User Relaying
Kangchun Zhao, Yijie Mao, Zhaohui Yang +2
Cooperative rate splitting (CRS), built upon rate splitting multiple access (RSMA) and opportunistic user relaying, has been recognized as a promising transmission strategy to enha…
Max-Min Fairness of Rate-Splitting Multiple Access with Finite Blocklength Communications
Yunnuo Xu, Yijie Mao, Onur Dizdar +1
Rate-Splitting Multiple Access (RSMA) has emerged as a flexible and powerful framework for wireless networks. In this paper, we investigate the user fairness of downlink multi-ante…
Reconfigurable Intelligent Surfaces Empowered Green Wireless Networks with User Admission Control
Jinglian He, Yijie Mao, Yong Zhou +2
Reconfigurable intelligent surface (RIS) has emerged as a cost-effective and energy-efficient technique for 6G. By adjusting the phase shifts of passive reflecting elements, RIS is…
Mitigating Intra-Cell Pilot Contamination in Massive MIMO: A Rate Splitting Approach
Anup Mishra, Yijie Mao, Christo Kurisummoottil Thomas +2
Massive multiple-input multiple-output (MaMIMO) has become an integral part of the fifth-generation (5G) standard, and is envisioned to be further developed in beyond 5G (B5G) netw…
Rate-Splitting Multiple Access for 6G -- Part II: Interplay with Integrated Sensing and Communications
Longfei Yin, Yijie Mao, Onur Dizdar +1
This letter is the second part of a three-part tutorial focusing on rate-splitting multiple access (RSMA) for 6G. As Part II of the tutorial, this letter addresses the interplay be…
Rate-Splitting Multiple Access for 6G -- Part I: Principles, Applications and Future Works
Anup Mishra, Yijie Mao, Onur Dizdar +1
This letter is the first part of a three-part tutorial focusing on rate-splitting multiple access (RSMA) for 6G. As Part I of the tutorial, the letter presents the basics of RSMA a…