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Junjun Li - IEEE Xplore Author Profile

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Author details

Junjun Li

Publications

3

Citations

20

Publications by Year

20192024

Co-Authors:

Zhongbang ChenPengsheng KongZhongqi LiZhiyuan LinPeng Yang

Show All Co-Authors (8)

Junjun Li

Affiliation

College of Traffic Engineering

Hunan University of Technology

Zhuzhou, China

Publication Topics

Arbitrary Position,
Coupling Coefficient,
Finite Element Method,
Induction Coil,
Magnetic Flux,
Magnetic Vector,
Simulation Results,
Wireless Power Transfer,
Wireless Power Transfer System,
2D Model,
Air Gap,
Analog-to-digital Converter

Biography

Junjun Li was born in Yichun, Jiangxi, China, in 1976. He received the B.Sc., M.Sc., and Ph.D. degrees from Hunan University, Changsha, China, in 1999, 2004, and 2011, respectively.,From 2013 to 2017, he conducted post-doctoral research at the CRRC Zhuzhou Institute Company Ltd., Zhuzhou, China. He is currently an Instructor with the College of Traffic Engineering, Hunan University of Technology, Zhuzhou. His current research interest includes the application of power electronics technology in new energy sources and new energyvehicles.(Based on document published on 12 July 2022).

Publications

3

Citations

20

Publications by Year

20192024

Co-Authors:

Zhongbang Chen
Pengsheng Kong
Zhongqi Li
Zhiyuan Lin
Peng Yang

Show All Co-Authors (8)

Author's Published Works

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Showing 1-25 of 314 results

Journals (151)

Conferences (103)

Magazines (56)

Early Access Articles (4)

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Graduate School of Information Sciences, Tohoku University, Sendai, Japan(51)
State Key Laboratory of Integrated Services Networks, School of Cyber Engineering, Xidian University, Xi’an, China(36)
National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, School of Cybersecurity, Northwestern Polytechnical University, Xi’an, China(36)
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Deep Learning Based Proactive Anomaly Detection for 5G Core Control Plane Network Function Interactions

Yawen Tan;Jiajia Liu;Yuanhao Li;Jiadai Wang

IEEE Transactions on Cognitive Communications and Networking

Year: 2025 | Early Access Article |

The Service-Based Architecture (SBA) introduced by 3GPP allows the control plane of 5G Core Network (CN) to function through a set of interconnected Network Functions (NFs), which offers significant benefits such as improved scalability, simplified operations, and efficient resource utilization. However, such a new transformation could also make critical NFs in 5G CN become more susceptible to att...Show More

Deep Learning Based Proactive Anomaly Detection for 5G Core Control Plane Network Function Interactions

Yawen Tan;Jiajia Liu;Yuanhao Li;Jiadai Wang

IEEE Transactions on Cognitive Communications and Networking

Year: 2025 | Early Access Article |

Achieving Multi-Attribute Superiority and Sybil Attack Detection in IoV: A Heuristic-Based Dynamic RSU Deployment Scheme

Hongzhi Guo;Xinhan Wu;Zishuo Yin;Bomin Mao;Yijie Xun;Jiajia Liu;Wu Chen

IEEE Transactions on Intelligent Transportation Systems

Year: 2025 | Volume: 26, Issue: 2 | Journal Article |

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Roadside units (RSUs) play a vital role in intelligent transportation systems (ITS), working as critical elements in delivering superior Internet of Vehicles (IoV) services. A large service coverage and fast accident information diffusion RSU deployment solution can reliably ensure the ITS’ quality of service. Simultaneously, with the development of the city and the ITS, changes in traffic flow le...Show More

Achieving Multi-Attribute Superiority and Sybil Attack Detection in IoV: A Heuristic-Based Dynamic RSU Deployment Scheme

Hongzhi Guo;Xinhan Wu;Zishuo Yin;Bomin Mao;Yijie Xun;Jiajia Liu;Wu Chen

IEEE Transactions on Intelligent Transportation Systems

Year: 2025 | Volume: 26, Issue: 2 | Journal Article |

On a Hierarchical Content Caching and Asynchronous Updating Scheme for Non-Terrestrial Network-Assisted Connected Automated Vehicles

Bomin Mao;Yangbo Liu;Hongzhi Guo;Yijie Xun;Jiadai Wang;Jiajia Liu;Nei Kato

IEEE Journal on Selected Areas in Communications

Year: 2025 | Volume: 43, Issue: 1 | Journal Article |

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With the advantages of seamless coverage and ubiquitous connections, Non-Terrestrial Networks (NTNs) composed of Low Earth Orbit (LEO) satellites and Unmanned Aerial Vehicles (UAVs) can provide content caching services for future Connected Automated Vehicles (CAVs) to satisfy onboard collaborative viewing, traffic sensing, and metaverse entertainments in remote areas. However, the heterogeneous ca...Show More

On a Hierarchical Content Caching and Asynchronous Updating Scheme for Non-Terrestrial Network-Assisted Connected Automated Vehicles

Bomin Mao;Yangbo Liu;Hongzhi Guo;Yijie Xun;Jiadai Wang;Jiajia Liu;Nei Kato

IEEE Journal on Selected Areas in Communications

Year: 2025 | Volume: 43, Issue: 1 | Journal Article |

A Novel LiDAR-Camera Fusion Method for Enhanced Odometry

Hao Dong;Yijie Xun;Yuchao He;Jiajia Liu;Bomin Mao;Hongzhi Guo

GLOBECOM 2024 - 2024 IEEE Global Communications Conference

Year: 2024 | Conference Paper |

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The development of Autonomous Vehicles (AVs) provides users with high-quality services and convenient travel experiences. As one of the most important functions in the automotive field, mobile positioning has attracted widespread attention from scholars. However, using a single-modal sensor (LiDAR or camera) poses challenges for precise localization due to their measurement flaws. Therefore, some ...Show More

A Novel LiDAR-Camera Fusion Method for Enhanced Odometry

Hao Dong;Yijie Xun;Yuchao He;Jiajia Liu;Bomin Mao;Hongzhi Guo

GLOBECOM 2024 - 2024 IEEE Global Communications Conference

Year: 2024 | Conference Paper |

Flexible Multi-Channel Vehicle Trajectory Prediction Based on Vehicle-Road Collaboration

Jiahao Lei;Yijie Xun;Yuchao He;Jiajia Liu;Bomin Mao;Hongzhi Guo

GLOBECOM 2024 - 2024 IEEE Global Communications Conference

Year: 2024 | Conference Paper |

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The development of 5G-vehicle-to-everything (5G-V2X) technology makes vehicle-road-cloud collaboration possible. Vehicles and roads transmit sensor data to the cloud via 5G-V2X technology and then the cloud sends the data to the target vehicle. The target vehicle utilizes dynamic environmental data from surrounding vehicles and roadside units to predict the driving trajectory of surrounding vehicl...Show More

Flexible Multi-Channel Vehicle Trajectory Prediction Based on Vehicle-Road Collaboration

Jiahao Lei;Yijie Xun;Yuchao He;Jiajia Liu;Bomin Mao;Hongzhi Guo

GLOBECOM 2024 - 2024 IEEE Global Communications Conference

Year: 2024 | Conference Paper |

PSO-Meme: An Efficient and Secure RSU Deployment Scheme for IoV

Xinhan Wu;Hongzhi Guo;Xiaoyi Zhou;Bomin Mao;Jiajia Liu;Yijie Xun

GLOBECOM 2024 - 2024 IEEE Global Communications Conference

Year: 2024 | Conference Paper |

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As a critical element in intelligent transportation systems (ITS), roadside units (RSUs) are pivotal in delivering superior Internet of Vehicles (IoV) services encompassing intelligent traffic management, accident prevention, and emergency rescue. Considering the high deployment and maintenance costs of RSUs, many studies focus on the efficient RSU deployment issues. However, due to the high visib...Show More

PSO-Meme: An Efficient and Secure RSU Deployment Scheme for IoV

Xinhan Wu;Hongzhi Guo;Xiaoyi Zhou;Bomin Mao;Jiajia Liu;Yijie Xun

GLOBECOM 2024 - 2024 IEEE Global Communications Conference

Year: 2024 | Conference Paper |

Dynamic Resource Reconfiguration for Network Slicing: An Incremental Multi-Agent Reinforcement Learning Based Approach

Huazhang Shen;Jiadai Wang;Jiajia Liu

GLOBECOM 2024 - 2024 IEEE Global Communications Conference

Year: 2024 | Conference Paper |

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Network slicing is a virtualization paradigm that divides multiple isolated logical networks on the physical infrastructure to meet different service requirements. Due to the dynamic changes in service requirements, reconfiguration of slice resources is essential to ensure the performance of slicing. However, most of the existing work focuses on reconfiguring slice through the migration of virtual...Show More

Dynamic Resource Reconfiguration for Network Slicing: An Incremental Multi-Agent Reinforcement Learning Based Approach

Huazhang Shen;Jiadai Wang;Jiajia Liu

GLOBECOM 2024 - 2024 IEEE Global Communications Conference

Year: 2024 | Conference Paper |

A Spatiotemporal Stealthy Backdoor Attack against Cooperative Multi-Agent Deep Reinforcement Learning

Yinbo Yu;Saihao Yan;Jiajia Liu

GLOBECOM 2024 - 2024 IEEE Global Communications Conference

Year: 2024 | Conference Paper |

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Recent studies have shown that cooperative multi-agent deep reinforcement learning (c-MADRL) is under the threat of backdoor attacks. Once a backdoor trigger is observed, it will perform abnormal actions leading to failures or malicious goals. However, existing proposed backdoors suffer from several issues, e.g., fixed visual trigger patterns lack stealthiness, the backdoor is trained or activated...Show More

A Spatiotemporal Stealthy Backdoor Attack against Cooperative Multi-Agent Deep Reinforcement Learning

Yinbo Yu;Saihao Yan;Jiajia Liu

GLOBECOM 2024 - 2024 IEEE Global Communications Conference

Year: 2024 | Conference Paper |

Optimizing Throughput for NR V2X Message Delivery with Congestion Control

Qiang Fu;Jiajia Liu;Jiadai Wang;Jun Kong

GLOBECOM 2024 - 2024 IEEE Global Communications Conference

Year: 2024 | Conference Paper |

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In New Radio (NR) Vehicle-to-Everything (V2X), the congestion control is adopted to reduce channel occupancy and improve delivery performance. However, most available congestion control schemes choose to reduce the number of messages while ignoring the throughput requirements, which may lead to serious traffic accidents due to the loss of information. This paper investigates the delivery performan...Show More

Optimizing Throughput for NR V2X Message Delivery with Congestion Control

Qiang Fu;Jiajia Liu;Jiadai Wang;Jun Kong

GLOBECOM 2024 - 2024 IEEE Global Communications Conference

Year: 2024 | Conference Paper |

Toward Throughput Optimization: A Congestion Control Scheme for CAM Delivery via NR Sidelink

Qiang Fu;Jiajia Liu;Jiadai Wang;Jun Kong

IEEE Internet of Things Journal

Year: 2024 | Early Access Article |

In the New Radio (NR) Vehicle-to-Everything (V2X), congestion control is adopted to reduce channel occupancy and improve delivery performance. However, most existing congestion control schemes decide to adjust the number of messages while ignoring the throughput requirements, which may lead to serious traffic accidents due to the loss of information. In light of this, we investigate the performanc...Show More

Toward Throughput Optimization: A Congestion Control Scheme for CAM Delivery via NR Sidelink

Qiang Fu;Jiajia Liu;Jiadai Wang;Jun Kong

IEEE Internet of Things Journal

Year: 2024 | Early Access Article |

SecHARQ: A Secure Scheme for HARQ-Assisted NR V2X Communications

Qiang Fu;Jiajia Liu;Jiadai Wang;Jiapeng Li

IEEE Transactions on Network and Service Management

Year: 2024 | Early Access Article |

Hybrid Automatic Repeat reQuest (HARQ) feedback and retransmission, as one of the crucial technologies for reliability enhancement, may cause a security-reliability tradeoff in New Radio (NR) Vehicle-to-Everything (V2X) communications. Specifically, for NR V2X messages, the HARQ feedback and retransmission improve its success delivery probability but endanger its confidentiality. This paper propos...Show More

SecHARQ: A Secure Scheme for HARQ-Assisted NR V2X Communications

Qiang Fu;Jiajia Liu;Jiadai Wang;Jiapeng Li

IEEE Transactions on Network and Service Management

Year: 2024 | Early Access Article |

Zoom-inRCL: Root Cause Localization at Virtualized Infrastructure Layer for B5G/6G Network Slicing

Yawen Tan;Jiadai Wang;Jiajia Liu

2024 IEEE 99th Vehicular Technology Conference (VTC2024-Spring)

Year: 2024 | Conference Paper |

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Network slicing, as the backbone technique of evolving B5G/6G, consists of Network Function Virtualization Infrastructure (NFVI) layer, network slice instance layer, service instance layer and management and orchestration module. Given the lessons learned from recently reported nationwide and long-lasting global telecommunication disasters with severe service degradation or even outages, we find t...Show More

Zoom-inRCL: Root Cause Localization at Virtualized Infrastructure Layer for B5G/6G Network Slicing

Yawen Tan;Jiadai Wang;Jiajia Liu

2024 IEEE 99th Vehicular Technology Conference (VTC2024-Spring)

Year: 2024 | Conference Paper |

Toward Optimizing Delivery Probability in NR Sidelink by MCS Selection

Qiang Fu;Jiajia Liu;Jiadai Wang

2024 IEEE 99th Vehicular Technology Conference (VTC2024-Spring)

Year: 2024 | Conference Paper |

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To further enhance the reliability and throughput of the Vehicle-to-Everything (V2X) communications via New Radio (NR) sidelink, the flexible Modulation and Coding Scheme (MCS) was approved by 3GPP in Release 16. However, most available works neglect the variations in message data size and adopt fixed MCS, which unavoidably limits the NR sidelink spectral efficiency. Using the theory of stochastic...Show More

Toward Optimizing Delivery Probability in NR Sidelink by MCS Selection

Qiang Fu;Jiajia Liu;Jiadai Wang

2024 IEEE 99th Vehicular Technology Conference (VTC2024-Spring)

Year: 2024 | Conference Paper |

Power Optimization and Deep Learning for Channel Estimation of Active IRS-Aided IoT

Yan Wang;Rongen Dong;Feng Shu;Wei Gao;Qi Zhang;Jiajia Liu

IEEE Internet of Things Journal

Year: 2024 | Volume: 11, Issue: 24 | Journal Article |

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In this article, channel estimation (CE) of an active intelligent reflecting surface (IRS) aided uplink Internet of Things (IoT) network is investigated. First, the least square (LS) estimators for the direct channel and the cascaded channel are presented, respectively. The corresponding mean-square errors (MSEs) of channel estimators are derived. Subsequently, in order to evaluate the influence o...Show More

Power Optimization and Deep Learning for Channel Estimation of Active IRS-Aided IoT

Yan Wang;Rongen Dong;Feng Shu;Wei Gao;Qi Zhang;Jiajia Liu

IEEE Internet of Things Journal

Year: 2024 | Volume: 11, Issue: 24 | Journal Article |

Optimizing Secrecy Rate for Federated Learning Model Aggregation With Intelligent Reflecting Surface Towards 6G Ubiquitous Intelligence

Bomin Mao;Yingying Wu;Jiajia Liu;Hongzhi Guo;Jiadai Wang;Nei Kato

IEEE Transactions on Cognitive Communications and Networking

Year: 2024 | Early Access Article |

Non-Orthogonal Multiple Access (NOMA) based Federated Learning (FL) can achieve the massive connectivity of Internet of Thing (IoT) devices, high transmission rate, and pervasive intelligence in 6G networks. However, the stochastic channels and frequent model parameter updates may incur degraded transmission rate and diminished FL performance, while privacy leakage may happen if Eavesdroppers (Eve...Show More

Optimizing Secrecy Rate for Federated Learning Model Aggregation With Intelligent Reflecting Surface Towards 6G Ubiquitous Intelligence

Bomin Mao;Yingying Wu;Jiajia Liu;Hongzhi Guo;Jiadai Wang;Nei Kato

IEEE Transactions on Cognitive Communications and Networking

Year: 2024 | Early Access Article |

Security-Reliability Tradeoff for Hybrid Automatic Repeat Request-Assisted NR V2X Communication

Qiang Fu;Jiajia Liu;Jiadai Wang;Junhua Mat

2024 IEEE Wireless Communications and Networking Conference (WCNC)

Year: 2024 | Conference Paper |

Cited by: Papers (1)

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Hybrid Automatic Repeat reQuest (HARQ) feedback is one of the key technologies for enhancing the performance of New Radio (NR) Vehicle-to-Everything (V2X) communication. However, for NR V2X messages, HARQ-based retransmission not only improves its delivery performance, but also poses a significant threat to its confidentiality. This paper investigates the Security-Reliability Tradeoff (SRT) of HAR...Show More

Security-Reliability Tradeoff for Hybrid Automatic Repeat Request-Assisted NR V2X Communication

Qiang Fu;Jiajia Liu;Jiadai Wang;Junhua Mat

2024 IEEE Wireless Communications and Networking Conference (WCNC)

Year: 2024 | Conference Paper |

Intelligent Network Slicing for B5G and 6G: Resource Allocation, Service Provisioning, and Security

Jiadai Wang;Yuanhao Li;Jiajia Liu;Nei Kato

IEEE Wireless Communications

Year: 2024 | Volume: 31, Issue: 3 | Magazine Article |

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B5G and 6G are designed to achieve break-throughs in mobile networks, and are expected to have features such as seamless global coverage, full virtualization, and ubiquitous intelligence. These promising features will spawn lots of new verticals and applications, creating an urgent need for on-demand networks. At this point, network slicing has been recognized as an excellent solution to this chal...Show More

Intelligent Network Slicing for B5G and 6G: Resource Allocation, Service Provisioning, and Security

Jiadai Wang;Yuanhao Li;Jiajia Liu;Nei Kato

IEEE Wireless Communications

Year: 2024 | Volume: 31, Issue: 3 | Magazine Article |

Trusted and Efficient Task Offloading in Vehicular Edge Computing Networks

Hongzhi Guo;Xiangshen Chen;Xiaoyi Zhou;Jiajia Liu

IEEE Transactions on Cognitive Communications and Networking

Year: 2024 | Volume: 10, Issue: 6 | Journal Article |

Cited by: Papers (2)

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To meet the computation-intensive and delay-sensitive requirements in smart driving, vehicular edge computing (VEC), which offloads the vehicles’ tasks to neighbor roadside units (RSUs) or other vehicles, is conceived as a promising approach. However, due to the untrustworthiness of nodes, there are still many security issues in VEC networks, exposing vehicles to severe risks. Recently, some resea...Show More

Trusted and Efficient Task Offloading in Vehicular Edge Computing Networks

Hongzhi Guo;Xiangshen Chen;Xiaoyi Zhou;Jiajia Liu

IEEE Transactions on Cognitive Communications and Networking

Year: 2024 | Volume: 10, Issue: 6 | Journal Article |

Adaptive and Reliable Location Privacy Risk Sensing in Internet of Vehicles

Hongzhi Guo;Xinhan Wu;Jiajia Liu;Bomin Mao;Xiangshen Chen

IEEE Transactions on Intelligent Transportation Systems

Year: 2024 | Volume: 25, Issue: 9 | Journal Article |

Cited by: Papers (6)

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The Internet of Vehicles (IoV) is a large-scale interactive network that operates in a dynamic and changeable environment, encompassing diverse types of private information. In recent years, safeguarding vehicle location privacy in IoV has been a topic of concern. However, the independent location privacy protection mechanisms cannot consistently meet the rigorous security requirements of various ...Show More

Adaptive and Reliable Location Privacy Risk Sensing in Internet of Vehicles

Hongzhi Guo;Xinhan Wu;Jiajia Liu;Bomin Mao;Xiangshen Chen

IEEE Transactions on Intelligent Transportation Systems

Year: 2024 | Volume: 25, Issue: 9 | Journal Article |

On a Cooperative Deep Reinforcement Learning-Based Multi-Objective Routing Strategy for Diversified 6G Metaverse Services

Bomin Mao;Xueming Zhou;Jiajia Liu;Nei Kato

IEEE Transactions on Vehicular Technology

Year: 2024 | Volume: 73, Issue: 9 | Journal Article |

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Metaverse has been widely recognized as an important 6G application with increasingly stringent, detailed, and diversified requirements for multiple Quality of Service (QoS) metrics. However, traditional routing strategies are usually based on unified weights and select the paths independently, which neglects the service diversity and resource constraints. In this paper, we focus on the diversifie...Show More

On a Cooperative Deep Reinforcement Learning-Based Multi-Objective Routing Strategy for Diversified 6G Metaverse Services

Bomin Mao;Xueming Zhou;Jiajia Liu;Nei Kato

IEEE Transactions on Vehicular Technology

Year: 2024 | Volume: 73, Issue: 9 | Journal Article |

An Intelligent Reflecting Surface-Based Attack Scheme Against Dual-Functional Radar and Communication Systems

Beiyuan Liu;Jinjing Jiang;Qian Liu;Jiajia Liu;Sai Xu

IEEE Transactions on Information Forensics and Security

Year: 2024 | Volume: 19 | Journal Article |

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Dual-functional radar and communication (DFRC) system is capable of sensing potential eavesdroppers close to the DFRC base station (BS) and further ensuring secure transmission using physical layer security technologies based on the obtained location information of eavesdroppers. However, such security can be threatened by a malicious intelligent reflecting surface (IRS) that simultaneously change...Show More

An Intelligent Reflecting Surface-Based Attack Scheme Against Dual-Functional Radar and Communication Systems

Beiyuan Liu;Jinjing Jiang;Qian Liu;Jiajia Liu;Sai Xu

IEEE Transactions on Information Forensics and Security

Year: 2024 | Volume: 19 | Journal Article |

An Intelligent Path Loss Prediction Approach Based on Integrated Sensing and Communications for Future Vehicular Networks

Zixiang Wei;Bomin Mao;Hongzhi Guo;Yijie Xun;Jiajia Liu;Nei Kato

IEEE Open Journal of the Computer Society

Year: 2024 | Volume: 5 | Journal Article |

Cited by: Papers (3)

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The developments of communication technologies, Internet of Things (IoT), and Artificial Intelligence (AI) have significantly accelerated the advancement of Intelligent Transportation Systems (ITS) and Autonomous Driving (AD) in recent years. The exchange of sensed information by widely deployed radars, cameras, and other sensors on vehicles and roadside infrastructure can improve the traffic awar...Show More

An Intelligent Path Loss Prediction Approach Based on Integrated Sensing and Communications for Future Vehicular Networks

Zixiang Wei;Bomin Mao;Hongzhi Guo;Yijie Xun;Jiajia Liu;Nei Kato

IEEE Open Journal of the Computer Society

Year: 2024 | Volume: 5 | Journal Article |

GPIDS: GAN Assisted Contextual Pattern-Aware Intrusion Detection System for IVN

Junman Qin;Yijie Xun;Zhouyan Deng;Jiajia Liu

IEEE Transactions on Vehicular Technology

Year: 2024 | Volume: 73, Issue: 9 | Journal Article |

Cited by: Papers (3)

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The intelligent connected vehicle (ICV) has garnered considerable attention in recent years due to developments in vehicle-to-everything (V2X) technology, 5G communication networks, and more. However, the connection between the in-vehicle network (IVN) and external network exposes vehicles to potential intrusion risks. In particular, the controller area network (CAN) protocol, a typical IVN respon...Show More

GPIDS: GAN Assisted Contextual Pattern-Aware Intrusion Detection System for IVN

Junman Qin;Yijie Xun;Zhouyan Deng;Jiajia Liu

IEEE Transactions on Vehicular Technology

Year: 2024 | Volume: 73, Issue: 9 | Journal Article |

Intelligent Multi-Objective Routing for Future Ultra-Dense LEO Satellite Networks

Xueming Zhou;Yuxuan Weng;Bomin Mao;Jiajia Liu;Nei Kato

IEEE Wireless Communications

Year: 2024 | Volume: 31, Issue: 5 | Magazine Article |

Cited by: Papers (5)

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Ultra-dense low Earth orbit (LEO) satellite communications have been regarded as an important solution for 6G to provide seamless and high-throughput network services. However, the qualified data transmissions among satellites are challenged by the routing policy design which is significantly difficult due to the ultra density, high dynamics, complex inter-satellite links (ISLs), and diversified q...Show More

Intelligent Multi-Objective Routing for Future Ultra-Dense LEO Satellite Networks

Xueming Zhou;Yuxuan Weng;Bomin Mao;Jiajia Liu;Nei Kato

IEEE Wireless Communications

Year: 2024 | Volume: 31, Issue: 5 | Magazine Article |

On an Intelligent Hierarchical Routing Strategy for Ultra-Dense Free Space Optical Low Earth Orbit Satellite Networks

Bomin Mao;Xueming Zhou;Jiajia Liu;Nei Kato

IEEE Journal on Selected Areas in Communications

Year: 2024 | Volume: 42, Issue: 5 | Journal Article |

Cited by: Papers (14)

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As an essential 6G component, the Low Earth Orbit (LEO) satellite communication has aroused increasing attentions from academia and industry to provide seamless and highly-efficient networking services. However, existing routing strategies are primarily designed for terrestrial networks or small-scale satellite networks, making it inapplicable to future LEO satellite constellations of ultra densit...Show More

On an Intelligent Hierarchical Routing Strategy for Ultra-Dense Free Space Optical Low Earth Orbit Satellite Networks

Bomin Mao;Xueming Zhou;Jiajia Liu;Nei Kato

IEEE Journal on Selected Areas in Communications

Year: 2024 | Volume: 42, Issue: 5 | Journal Article |

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