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Yao Sun - IEEE Xplore Author Profile
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Yao Sun

Publications
105
Citations
1,512
Publications by Year
20162025
Co-Authors:
Show All Co-Authors (173)
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Yao Sun

Affiliation

James Watt School of Engineering
University of Glasgow
Glasgow, U.K.

Publication Topics

Biography

Yao Sun (Senior Member, IEEE) is currently a Lecturer with the James Watt School of Engineering, University of Glasgow, Glasgow, U.K. He has extensive research experience in the wireless communication area. His research interests include intelligent wireless networking, semantic communications, blockchain systems, and resource management in next-generation mobile networks. He has served as a TPC Member for several international flagship conferences, including ICC 2022, VTC Spring 2022, GLOBECOM 2020, WCNC 2019, and ICCT 2019. He has won the IEEE Communication Society of TAOS Best Paper Award in the 2019 ICC. He has served as the TPC Chair for UCET 2021. He has been the guest editor for special issues of several international journals.(Based on document published on 11 June 2024).
Publications
105
Citations
1,512
Publications by Year
20162025
Co-Authors:
Show All Co-Authors (173)
Author's Published Works

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Dynamic Spectrum Sharing Between Satellite and Terrestrial Communication Networks: A Blockchain Approach

Zixin Wang;Bin Cao;Mingrui Cao;Hao Jiang;Shuo Wang;Chen Sun;Yao Sun;Mugen Peng

2025 IEEE Wireless Communications and Networking Conference (WCNC)
Year: 2025 | Conference Paper |
Emerging as a promising technology to bridge the trust gap among multiple participants, blockchain has been envisioned to enable dynamic spectrum sharing in a decentralized manner. However, satellites with limited resources may struggle to support the frequent interactions required by blockchain networks. Additionally, due to the large coverage area of satellites, the differentiated spectrum shari...Show More

Dynamic Spectrum Sharing Between Satellite and Terrestrial Communication Networks: A Blockchain Approach

Zixin Wang;Bin Cao;Mingrui Cao;Hao Jiang;Shuo Wang;Chen Sun;Yao Sun;Mugen Peng

Year: 2025 | Conference Paper |

A Semantic-Oriented Modulation for Wireless Communication

Yangfan Wang;Xuefei Zhang;Yao Sun;Qimei Cui;Xiaofeng Tao

IEEE Internet of Things Journal
Year: 2025 | Early Access Article |
In semantic communication (SemCom), the gain of deep learning-based joint source and channel coding (JSCC) has been proved to partly come from the analog transmission of semantic features extracted directly from the source signal. While, the current mainstream digital communication system design results in the gains almost vanishing when bit-oriented modulation (e.g., QPSK) is employed. To tackle ...Show More

A Semantic-Oriented Modulation for Wireless Communication

Yangfan Wang;Xuefei Zhang;Yao Sun;Qimei Cui;Xiaofeng Tao

Year: 2025 | Early Access Article |

Knowledge-Assisted Privacy Preserving in Semantic Communication

Xuesong Liu;Yao Sun;Runze Cheng;Le Xia;Hanaa Abumarshoud;Lei Zhang;Muhammad Ali Imran

IEEE Wireless Communications
Year: 2025 | Volume: 32, Issue: 2 | Magazine Article |
Semantic communication (SC) offers promising advancements in data transmission efficiency and reliability by focusing on delivering true meaning rather than solely binary bits of messages. However, privacy concerns in SC might develop. Eaves-droppers equipped with advanced semantic coding models and extensive knowledge could be capable of correctly decoding and reasoning sensitive semantics from j...Show More

Knowledge-Assisted Privacy Preserving in Semantic Communication

Xuesong Liu;Yao Sun;Runze Cheng;Le Xia;Hanaa Abumarshoud;Lei Zhang;Muhammad Ali Imran

Year: 2025 | Volume: 32, Issue: 2 | Magazine Article |

Generative AI for Semantic Communication: Architecture, Challenges, and Outlook

Le Xia;Yao Sun;Chengsi Liang;Lei Zhang;Muhammad Ali Imran;Dusit Niyato

IEEE Wireless Communications
Year: 2025 | Volume: 32, Issue: 1 | Magazine Article |
Cited by: Papers (1)
Semantic communication (SemCom) is expected to be a core paradigm in future communication networks, yielding significant benefits in terms of spectrum resource saving and information interaction efficiency. However, the existing SemCom structure is limited by the lack of context-reasoning ability and background knowledge provisioning, which, therefore, motivates us to seek the potential of incorpo...
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Generative AI for Semantic Communication: Architecture, Challenges, and Outlook

Le Xia;Yao Sun;Chengsi Liang;Lei Zhang;Muhammad Ali Imran;Dusit Niyato

Year: 2025 | Volume: 32, Issue: 1 | Magazine Article |

Resource Allocation for Metaverse Experience Optimization: A Multi-Objective Multi-Agent Evolutionary Reinforcement Learning Approach

Lei Feng;Xiaoyi Jiang;Yao Sun;Dusit Niyato;Yu Zhou;Shiyi Gu;Zhixiang Yang;Yang Yang;Fanqin Zhou

IEEE Transactions on Mobile Computing
Year: 2025 | Volume: 24, Issue: 4 | Journal Article |
In the Metaverse, real-time, concurrent services such as virtual classrooms and immersive gaming require local graphic rendering to maintain low latency. However, the limited processing power and battery capacity of user devices make it challenging to balance Quality of Experience (QoE) and terminal energy consumption. In this paper, we investigate a multi-objective optimization problem (MOP) rega...Show More

Resource Allocation for Metaverse Experience Optimization: A Multi-Objective Multi-Agent Evolutionary Reinforcement Learning Approach

Lei Feng;Xiaoyi Jiang;Yao Sun;Dusit Niyato;Yu Zhou;Shiyi Gu;Zhixiang Yang;Yang Yang;Fanqin Zhou

Year: 2025 | Volume: 24, Issue: 4 | Journal Article |

A Wireless AI-Generated Content (AIGC) Provisioning Framework Empowered by Semantic Communication

Runze Cheng;Yao Sun;Dusit Niyato;Lan Zhang;Lei Zhang;Muhammad Ali Imran

IEEE Transactions on Mobile Computing
Year: 2025 | Volume: 24, Issue: 3 | Journal Article |
Cited by: Papers (4)
With the significant advances in AI-generated content (AIGC) and the proliferation of mobile devices, providing high-quality AIGC services via wireless networks is becoming the future direction. However, the primary challenges of AIGC services provisioning in wireless networks lie in unstable channels, limited bandwidth resources, and unevenly distributed computational resources. To this end, this...Show More

A Wireless AI-Generated Content (AIGC) Provisioning Framework Empowered by Semantic Communication

Runze Cheng;Yao Sun;Dusit Niyato;Lan Zhang;Lei Zhang;Muhammad Ali Imran

Year: 2025 | Volume: 24, Issue: 3 | Journal Article |

Resource Allocation for RIS-Aided mmWave System With Cooperative and Non-Cooperative Base Stations

Xinyi Lin;Yixuan Fan;Lei Zhang;Kairong Ma;Yao Sun;Anvar Tukmanov;Qammer Abbasi;Muhammad Ali Imran

IEEE Transactions on Vehicular Technology
Year: 2025 | Volume: 74, Issue: 3 | Journal Article |
The emergence of reconfigurable intelligent surfaces (RIS) represents a notable technological advancement that has gained considerable interest within the wireless communication domain. However, due to cost and privacy concerns, different operators may not make an agreement on cooperatively utilizing RISs and sharing resources. In the presence of non-cooperative base stations (BSs) from different ...Show More

Resource Allocation for RIS-Aided mmWave System With Cooperative and Non-Cooperative Base Stations

Xinyi Lin;Yixuan Fan;Lei Zhang;Kairong Ma;Yao Sun;Anvar Tukmanov;Qammer Abbasi;Muhammad Ali Imran

Year: 2025 | Volume: 74, Issue: 3 | Journal Article |

S-RAN: Semantic-Aware Radio Access Networks

Yao Sun;Lan Zhang;Linke Guo;Jian Li;Dusit Niyato;Yuguang Fang

IEEE Communications Magazine
Year: 2025 | Volume: 63, Issue: 4 | Magazine Article |
Cited by: Papers (5)
Semantic communication (SemCom) has been a transformative paradigm, emphasizing the precise exchange of meaningful information over traditional bit-level transmissions. However, existing SemCom research, primarily centered on simplified scenarios like single-pair transmissions with direct wireless links, faces significant challenges when applied to real-world radio access networks (RANs). This art...Show More

S-RAN: Semantic-Aware Radio Access Networks

Yao Sun;Lan Zhang;Linke Guo;Jian Li;Dusit Niyato;Yuguang Fang

Year: 2025 | Volume: 63, Issue: 4 | Magazine Article |

Wireless Resource Optimization in Hybrid Semantic/Bit Communication Networks

Le Xia;Yao Sun;Dusit Niyato;Lan Zhang;Muhammad Ali Imran

IEEE Transactions on Communications
Year: 2025 | Volume: 73, Issue: 5 | Journal Article |
Cited by: Papers (1)
Recently, semantic communication (SemCom) has shown great potential in significant resource savings and efficient information exchanges, thus naturally introducing a novel and practical cellular network paradigm where two modes of SemCom and conventional bit communication (BitCom) coexist. Nevertheless, the involved wireless resource management becomes rather complicated and challenging, given the...Show More

Wireless Resource Optimization in Hybrid Semantic/Bit Communication Networks

Le Xia;Yao Sun;Dusit Niyato;Lan Zhang;Muhammad Ali Imran

Year: 2025 | Volume: 73, Issue: 5 | Journal Article |

Energy-Constrained Satellite Edge Computing for Satellite-Terrestrial Integrated Networks

Lei Cheng;Gang Feng;Yao Sun;Shuang Qin;Feng Wang;Tony Q. S. Quek

IEEE Transactions on Vehicular Technology
Year: 2025 | Volume: 74, Issue: 2 | Journal Article |
Cited by: Papers (2)
Satellite edge computing (SEC) has emerged as an innovative paradigm for future satellite-terrestrial integrated networks (STINs), expanding computation services by sinking computing capabilities into Low-Earth-Orbit (LEO) satellites. However, the mobility of LEO satellites poses two key challenges to SEC: 1) constrained onboard computing and transmission capabilities caused by limited and dynamic...Show More

Energy-Constrained Satellite Edge Computing for Satellite-Terrestrial Integrated Networks

Lei Cheng;Gang Feng;Yao Sun;Shuang Qin;Feng Wang;Tony Q. S. Quek

Year: 2025 | Volume: 74, Issue: 2 | Journal Article |

Generative AI-Driven Semantic Communication Networks: Architecture, Technologies, and Applications

Chengsi Liang;Hongyang Du;Yao Sun;Dusit Niyato;Jiawen Kang;Dezong Zhao;Muhammad Ali Imran

IEEE Transactions on Cognitive Communications and Networking
Year: 2025 | Volume: 11, Issue: 1 | Journal Article |
Cited by: Papers (19)
Generative artificial intelligence (GAI) has emerged as a rapidly burgeoning field demonstrating significant potential in creating diverse content intelligently and automatically. To support such artificial intelligence-generated content (AIGC) services, future communication systems must fulfill stringent requirements, including high data rates, throughput, and low latency, while efficiently utili...Show More

Generative AI-Driven Semantic Communication Networks: Architecture, Technologies, and Applications

Chengsi Liang;Hongyang Du;Yao Sun;Dusit Niyato;Jiawen Kang;Dezong Zhao;Muhammad Ali Imran

Year: 2025 | Volume: 11, Issue: 1 | Journal Article |

Hybrid Semantic/Bit Communication Based Networking Problem Optimization

Le Xia;Yao Sun;Dusit Niyato;Lan Zhang;Lei Zhang;Muhammad Ali Imran

GLOBECOM 2024 - 2024 IEEE Global Communications Conference
Year: 2024 | Conference Paper |
Cited by: Papers (1)
This paper jointly investigates user association (UA), mode selection (MS), and bandwidth allocation (BA) problems in a novel and practical next-generation cellular network where two modes of semantic communication (SemCom) and conventional bit communication (BitCom) coexist, namely hybrid semantic/bit communication network (HSB-Net). Concretely, we first identify a unified performance metric of m...Show More

Hybrid Semantic/Bit Communication Based Networking Problem Optimization

Le Xia;Yao Sun;Dusit Niyato;Lan Zhang;Lei Zhang;Muhammad Ali Imran

Year: 2024 | Conference Paper |

Joint Deployment and Resource Allocation for Multi-AeBS Networks: A Two-Timescale Optimization Framework Using MADRL

Yikun Zhao;Fanqin Zhou;Lei Feng;Yao Sun;Wenjing Li;Wei Yang Bryan Lim;Zehui Xiong;Shiwen Mao;Zhu Han

IEEE Transactions on Communications
Year: 2024 | Early Access Article |
As an important component of the space-air-ground integrated network, aerial base station (AeBS) systems have gained significant attention for their flexibility in mobility and cost-effective construction. Nevertheless, the scarce spectrum resources and difficulty in accessing global information bring necessity and challenges to the deployment and resource allocation of AeBSs. In this paper, we pr...Show More

Joint Deployment and Resource Allocation for Multi-AeBS Networks: A Two-Timescale Optimization Framework Using MADRL

Yikun Zhao;Fanqin Zhou;Lei Feng;Yao Sun;Wenjing Li;Wei Yang Bryan Lim;Zehui Xiong;Shiwen Mao;Zhu Han

Year: 2024 | Early Access Article |

Spectral Efficiency Maximization for Probabilistic Semantic Communication with Rate Splitting

Zhouxiang Zhao;Zhaohui Yang;Mingzhe Chen;Xu Gan;Chongwen Huang;Yao Sun;Qianqian Yang;Wei Xu;Zhaoyang Zhang

2024 IEEE 99th Vehicular Technology Conference (VTC2024-Spring)
Year: 2024 | Conference Paper |
In this paper, the problem of joint transmission and computation resource allocation for probabilistic semantic communication (PSC) network with rate splitting multiple access (RSMA) is investigated. In the considered model, the base station (BS) needs to transmit a large amount of data, which is represented by substantial knowledge graphs, to multiple users. Due to limited communication resource,...Show More

Spectral Efficiency Maximization for Probabilistic Semantic Communication with Rate Splitting

Zhouxiang Zhao;Zhaohui Yang;Mingzhe Chen;Xu Gan;Chongwen Huang;Yao Sun;Qianqian Yang;Wei Xu;Zhaoyang Zhang

Year: 2024 | Conference Paper |

A Blockchain-Enabled Framework of UAV Coordination for Post- Disaster Networks

Sana Hafeez;Runze Cheng;Lina Mohjazi;Muhammad Ali Imran;Yao Sun

2024 IEEE 99th Vehicular Technology Conference (VTC2024-Spring)
Year: 2024 | Conference Paper |
Cited by: Papers (1)
Emergency communication is critical but challenging after natural disasters when the ground infrastructure is devastated. Unmanned aerial vehicles (UAVs) have enormous potential for agile relief coordination in such scenarios. However, effectively leveraging UAV fleets poses additional challenges, in terms of security, privacy, and efficient collaboration across response agencies. This paper prese...Show More

A Blockchain-Enabled Framework of UAV Coordination for Post- Disaster Networks

Sana Hafeez;Runze Cheng;Lina Mohjazi;Muhammad Ali Imran;Yao Sun

Year: 2024 | Conference Paper |

Improving Channel Resilience for Task-Oriented Semantic Communications: A Unified Information Bottleneck Approach

Shuai Lyu;Yao Sun;Linke Guo;Xiaoyong Yuan;Fang Fang;Lan Zhang;Xianbin Wang

IEEE Communications Letters
Year: 2024 | Volume: 28, Issue: 11 | Journal Article |
Task-oriented semantic communications (TSC) enhance radio resource efficiency by transmitting task-relevant semantic information. However, current research often overlooks the inherent semantic distinctions among encoded features. Due to unavoidable channel variations from time and frequency-selective fading, semantically sensitive feature units could be more susceptible to erroneous inference if ...Show More

Improving Channel Resilience for Task-Oriented Semantic Communications: A Unified Information Bottleneck Approach

Shuai Lyu;Yao Sun;Linke Guo;Xiaoyong Yuan;Fang Fang;Lan Zhang;Xianbin Wang

Year: 2024 | Volume: 28, Issue: 11 | Journal Article |

Secure Resource Allocation for Integrated Sensing and Semantic Communication System

Jianxin Dai;Hui Fan;Zhouxiang Zhao;Yao Sun;Zhaohui Yang

2024 IEEE International Conference on Communications Workshops (ICC Workshops)
Year: 2024 | Conference Paper |
Cited by: Papers (1)
As a new paradigm of communication, semantic communication (SC) differs from traditional communication based on bit transmission by transmitting semantic information, which demonstrates enormous potential in improving communication performance and efficiency. To ensure the transmission security, this paper studies the secure resource allocation problem of integrated sensing and semantic communicat...Show More

Secure Resource Allocation for Integrated Sensing and Semantic Communication System

Jianxin Dai;Hui Fan;Zhouxiang Zhao;Yao Sun;Zhaohui Yang

Year: 2024 | Conference Paper |

Optimizing Spectral Efficiency through Bandwidth Management in Semantic Communication Systems

Shuheng Hua;Yao Sun;Kairong Ma;Swash Rafiq;Wallizada Mohibullah;Zhaohui Yang;Muhammad Imran

2024 IEEE International Conference on Communications Workshops (ICC Workshops)
Year: 2024 | Conference Paper |
Semantic communication (SemCom) is a novel paradigm that exploits sophisticated deep learning tools to distil semantic features from source data at transmitter and recover the meaning of the source data based on these semantic features at the receiver. To train proficient semantic coding models with minimum semantic ambiguity, it is of paramount importance to sense abundant data for both model tra...Show More

Optimizing Spectral Efficiency through Bandwidth Management in Semantic Communication Systems

Shuheng Hua;Yao Sun;Kairong Ma;Swash Rafiq;Wallizada Mohibullah;Zhaohui Yang;Muhammad Imran

Year: 2024 | Conference Paper |

A Digital-Twin-Based Traffic Guidance Scheme for Autonomous Driving

Xiwen Liao;Supeng Leng;Yao Sun;Ke Zhang;Muhammad Ali Imran

IEEE Internet of Things Journal
Year: 2024 | Volume: 11, Issue: 22 | Journal Article |
Cited by: Papers (2)
Burdened by persistent traffic congestion, urban transportation is in a pressing need of more effective traffic guidance schemes. Existing traffic guidance approaches fall short in optimizing benefits, primarily due to their exclusive reliance on current road conditions for decision making and the prevalence of driving egoism within traditional patterns. Autonomous vehicles (AVs), liberated from h...Show More

A Digital-Twin-Based Traffic Guidance Scheme for Autonomous Driving

Xiwen Liao;Supeng Leng;Yao Sun;Ke Zhang;Muhammad Ali Imran

Year: 2024 | Volume: 11, Issue: 22 | Journal Article |

Efficient and Balanced Exploration-driven Decision Making for Autonomous Racing Using Local Information

Zhen Tian;Dezong Zhao;Zhihao Lin;Wenjing Zhao;David Flynn;Yuande Jiang;Daxin Tian;Yuanjian Zhang;Yao Sun

IEEE Transactions on Intelligent Vehicles
Year: 2024 | Early Access Article |
Cited by: Papers (2)
Autonomous racing has attracted extensive interest due to its great potential in self-driving at the extreme limits. Model-based and learning-based methods are widely used in autonomous racing. Out of which, model-based methods cannot cope with complex environments when only local perception is available. This limit can be overcome by the Proximal policy optimization (PPO), a typical learning-base...Show More

Efficient and Balanced Exploration-driven Decision Making for Autonomous Racing Using Local Information

Zhen Tian;Dezong Zhao;Zhihao Lin;Wenjing Zhao;David Flynn;Yuande Jiang;Daxin Tian;Yuanjian Zhang;Yao Sun

Year: 2024 | Early Access Article |

Blockchain-Assisted Cross-Domain Data Governance for Social Computing

Shulei Zeng;Yao Sun;Mugen Peng

2024 International Conference on Computing, Networking and Communications (ICNC)
Year: 2024 | Conference Paper |
With the vigorous development of the social network, massive data have generated by large amount of users. To utilize these data, social computing is widely used. However, due to the conflict between proprietary data and the use of data, it is a challenge to fully obtain data value in an efficient and legal way. Moreover, how to manage, govern and schedule data, a technical and feasible approach i...Show More

Blockchain-Assisted Cross-Domain Data Governance for Social Computing

Shulei Zeng;Yao Sun;Mugen Peng

Year: 2024 | Conference Paper |

Adaptive Clustering-Based Straggler-Aware Federated Learning in Wireless Edge Networks

Yi-Jing Liu;Gang Feng;Hongyang Du;Zheng Qin;Yao Sun;Jiawen Kang;Xiaoqian Li;Dusit Niyato

IEEE Transactions on Communications
Year: 2024 | Volume: 72, Issue: 12 | Journal Article |
Cited by: Papers (1)
Federated learning (FL) has been vigorously promoted in wireless edge networks as it fosters collaborative training of machine learning (ML) models while preserving individual user privacy and data security. In conventional FL, user equipment (UE) and an aggregator can collaboratively train shared global ML models by transmitting interactive ML models. In wireless edge networks, heterogeneity of m...Show More

Adaptive Clustering-Based Straggler-Aware Federated Learning in Wireless Edge Networks

Yi-Jing Liu;Gang Feng;Hongyang Du;Zheng Qin;Yao Sun;Jiawen Kang;Xiaoqian Li;Dusit Niyato

Year: 2024 | Volume: 72, Issue: 12 | Journal Article |

Protecting System Information From False Base Station Attacks: A Blockchain-Based Approach

Zixin Wang;Bin Cao;Yao Sun;Chenxi Liu;Zhiguo Wan;Mugen Peng

IEEE Transactions on Wireless Communications
Year: 2024 | Volume: 23, Issue: 10 | Journal Article |
Cited by: Papers (3)
Ensuring secure access to cellular networks is of paramount importance, in which system information (SI) protection plays a crucial role at the initial access stage. While the 3rd generation partnership project (3GPP) released many standardizations to enhance SI protection for preventing users from false base station (FBS) attacks, most of them are centralized solutions which are vulnerable to pot...Show More

Protecting System Information From False Base Station Attacks: A Blockchain-Based Approach

Zixin Wang;Bin Cao;Yao Sun;Chenxi Liu;Zhiguo Wan;Mugen Peng

Year: 2024 | Volume: 23, Issue: 10 | Journal Article |

Blockchain-Empowered Secure Spectrum Sharing for Next Generation Train Networks

Syed Muhammad Asad;Xiaoshuai Zhang;Yao Sun;Rao Naveed Bin Rais;Sajjad Hussain;Qammer H. Abbasi;Muhammad Ali Imran

IEEE Access
Year: 2024 | Volume: 12 | Journal Article |
Cited by: Papers (1)
The integration of private mobile networks (PMN) driven by next generation train networks (NGTNs) require a paradigm for a secure spectrum sharing with mobile network operators (MNOs) to provide privacy driven architecture. For such unprecedented performance expectations, a fine-grained spectrum sharing PMN is required to address secure communication with volume, time, and usage area parameters. I...Show More

Blockchain-Empowered Secure Spectrum Sharing for Next Generation Train Networks

Syed Muhammad Asad;Xiaoshuai Zhang;Yao Sun;Rao Naveed Bin Rais;Sajjad Hussain;Qammer H. Abbasi;Muhammad Ali Imran

Year: 2024 | Volume: 12 | Journal Article |

Knowledge Discrepancy Oriented Privacy Preserving for Semantic Communication

Shiqi Cheng;Xuefei Zhang;Yao Sun;Qimei Cui;Xiaofeng Tao

IEEE Transactions on Vehicular Technology
Year: 2024 | Volume: 73, Issue: 8 | Journal Article |
Cited by: Papers (2)
Semantic communication is an emerging paradigm relying on deep neural network alongside knowledge bases to enable correct delivery of desired information meaning. Most existing semantic communication systems assume that communication nodes share the same public knowledge base, while ignoring the agnostic and diversity of private knowledge that may lead to a knowledge discrepancy. Consequently, the...Show More

Knowledge Discrepancy Oriented Privacy Preserving for Semantic Communication

Shiqi Cheng;Xuefei Zhang;Yao Sun;Qimei Cui;Xiaofeng Tao

Year: 2024 | Volume: 73, Issue: 8 | Journal Article |

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