Article
Computer Science, Hardware & Architecture
Ryoichi Shinkuma, Naoki Kishi, Kaoru Ota, Mianxiong Dong, Takehiro Sato, Eiji Oki
Summary: The study proposes a scheme utilizing software-defined networking and edge computing technologies to enhance traffic prediction accuracy by incorporating important traffic logs, even when using only logs from active base stations.
Article
Computer Science, Information Systems
Yi Yang, Zhixin Liu, Heng Zhu, Xinping Guan, Kit Yan Chan
Summary: This paper proposes a switch algorithm to reduce energy consumption in dense networks. By adjusting the switch status of base stations based on traffic load, the energy consumption becomes more flexible and effective.
Article
Optics
Haitham S. Khallaf, Abd El-Rahman A. El-Fikky, Mohamed Elwekeil, Abdulaziz E. Elfiqi, Ehab Mahmoud Mohamed, Hossam M. H. Shalaby
Summary: This study investigates offloading efficiency in a cellular/LiFi network, considering both opportunistic and delayed offloading scenarios, and analyzing the effects of user density, mobility, signal blocking, and channel characteristics. The results show that delayed offloading can achieve up to 60% efficiency, while opportunistic offloading achieves up to 18% efficiency.
Article
Engineering, Electrical & Electronic
Yuhan Jiang, Yulong Zou, Jian Ouyang, Jia Zhu
Summary: This study proposes a method to maximize secrecy energy efficiency in small cells by jointly optimizing the beamformers of confidential signals and artificial noise, achieving a balance between secrecy rate and energy efficiency, and solving a complex optimization problem through an iterative JBF-SEEM algorithm with an approximate convex optimization approach.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2021)
Article
Computer Science, Information Systems
Ahmed Fahim Mostafa, Mohamed Abdel-Kader, Yasser Gadallah, Omar Elayat
Summary: This paper proposes a machine learning-based deployment of UAVs as temporary base stations to offload excess traffic in cellular networks. The proposed approach optimizes the number and positions of UAVs for efficient traffic allocation and offloading. Simulation results demonstrate that the proposed solution achieves close-to-optimal real-time objectives.
Proceedings Paper
Engineering, Electrical & Electronic
Lijin Li, Weixiao Meng
Summary: This paper investigates the sleep problem of base stations in urban heterogeneous cellular networks and proposes a sleep scheme in which macro base station and micro base station cooperate, aiming to save energy by introducing base station dormancy technology.
2022 27TH ASIA PACIFIC CONFERENCE ON COMMUNICATIONS (APCC 2022): CREATING INNOVATIVE COMMUNICATION TECHNOLOGIES FOR POST-PANDEMIC ERA
(2022)
Article
Telecommunications
Hossein Akhlaghpasand, Vahid Shah-Mansouri
Summary: This letter discusses traffic offloading in an integrated low earth orbit satellite-terrestrial network. By optimizing the satellite network design and controlling terrestrial traffic, the limited coverage and traffic congestion can be overcome.
IEEE COMMUNICATIONS LETTERS
(2023)
Article
Engineering, Electrical & Electronic
Ashutosh Balakrishnan, Swades De, Li-Chun Wang
Summary: This paper presents an analytical framework to capture the traffic-energy imbalances in solar-enabled and power grid connected cellular networks, and proposes a cooperative energy sharing mechanism among base stations to improve network energy utilization. The results show significant improvements in reducing grid energy procurement and generating revenue gains compared to current methods.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2022)
Article
Computer Science, Information Systems
Bart Post, Sem Borst, Hans van den Berg
Summary: This paper investigates a weighted trade-off between energy consumption and user-perceived performance in dense cellular networks, and proposes a self-organizing strategy for dynamically making load-aware user association and BS operation decisions. Extensive simulation results demonstrate the effectiveness of this strategy and the impact of increased energy consumption on user-perceived performance.
Article
Mathematics
Benedetta Picano
Summary: This paper models the probabilistic end-to-end delay bound for virtual reality services in the presence of heterogeneous traffic flows using stochastic network calculus principles, showing network performance analysis under different scheduling policies and multiple traffic flows, with confirmed validity of theoretical bounds when considering concurrent traffic flows with heterogeneous quality-of-service constraints.
Article
Engineering, Electrical & Electronic
Yasmeen M. Abdelradi, Amr A. El-Sherif, Laila H. Afify
Summary: The paper discusses the problem of traffic offloading in cellular networks taking into account users' traffic load, proposing heuristic algorithms for maximizing network throughput and energy efficiency. Numerical simulations demonstrate the effectiveness of the proposed algorithms in outperforming similar algorithms in the literature.
AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS
(2021)
Article
Computer Science, Information Systems
Yiping Zuo, Shi Jin, Shengli Zhang
Summary: A novel blockchain-enabled heterogeneous cellular network was proposed to tackle issues in user association, computation offloading, and block storage. Through designed algorithms, effective strategies were achieved and data congestion of base stations was greatly avoided, showcasing significant advantages over traditional association algorithms.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Proceedings Paper
Telecommunications
Yuchao Zhu, Shaowei Wang
Summary: An intelligent BS sleeping scheme is proposed in this paper to reduce system energy consumption while guaranteeing user experience quality through traffic prediction and BS sleeping operations.
IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC 2021)
(2021)
Article
Physics, Multidisciplinary
Keyi Liu, Tianjun Feng
Summary: Autonomous driving technology is rapidly advancing, leading to a heterogeneous traffic flow dominated by intelligent controlled vehicles (ICV) and human driving vehicles (HDV). The study shows that the penetration rate of ICV has a significant impact on traffic capacity, with an increase of 23.4% to 62.5% compared to homogeneous HDV flow. As the ICV penetration rate increases, both the lane-changing frequency and congestion level decrease.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2023)
Article
Engineering, Civil
Futao Zhang, Yongsheng Qian, Junwei Zeng
Summary: This paper discusses the unique features of autonomous vehicles, the characteristics of actual slope grade on expressways, and the integer requirements for speed update in discrete cellular automata (CA). By introducing variable parameters related to vehicle position and gradient, the continuous deceleration efficiency of uphill is discretized, and the hybrid traffic flow CA model is improved based on the principle of safety distance for slope bottlenecks. The simulation results demonstrate that the improved model can simulate the unique traffic flow phenomenon caused by changing slope conditions. Furthermore, autonomous vehicles can effectively alleviate traffic congestion on upslopes in non-free flow areas.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Computer Science, Information Systems
Manaf Bin-Yahya, Xuemin Shen
Summary: This article proposes a new energy-aware network topology obfuscation mechanism that maximizes the attack costs and is efficient and practical to be deployed. The proposed mechanism includes a route obfuscation method based on ranking-based route mutation and a sink node obfuscation method based on the k-anonymity model. Extensive simulation results demonstrate that the proposed methods can effectively mitigate traffic analysis attacks and achieve effective network topology obfuscation for software-defined wireless sensor networks.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Letter
Dentistry, Oral Surgery & Medicine
Wei Liu, Yiwen Deng, Huan Shi, Xuemin Shen
Letter
Dermatology
Kai Sun, Xuemin Shen
PHOTODERMATOLOGY PHOTOIMMUNOLOGY & PHOTOMEDICINE
(2023)
Article
Dentistry, Oral Surgery & Medicine
Wei Liu, Qianqian Zhang, Xuemin Shen, Zhexuan Bao
Summary: Oral lichen planus (OLP) and pemphigus vulgaris (PV) are two common inflammatory mucocutaneous diseases of immune-based etiology. Evidence suggests that regulatory T (Treg) cells may play a role in the pathogenesis of OLP and PV. This study found that Treg levels were significantly higher in OLP patients compared to healthy controls, while Treg levels were significantly lower in PV patients compared to healthy controls.
JOURNAL OF DENTAL SCIENCES
(2023)
Editorial Material
Engineering, Electrical & Electronic
Xuemin Shen, Cynthia Sikora
IEEE COMMUNICATIONS MAGAZINE
(2023)
Article
Engineering, Electrical & Electronic
Wen Wu, Mushu Li, Kaige Qu, Conghao Zhou, Xuemin Shen, Weihua Zhuang, Xu Li, Weisen Shi
Summary: This paper proposes a novel Split learning (SL) scheme called Cluster-based Parallel SL (CPSL) to reduce training latency by parallelizing device-side model training and sequentially training the whole AI model. A resource management algorithm is also proposed to consider device heterogeneity and network dynamics. Extensive simulation results demonstrate that the proposed solution greatly reduces training latency and adapts to network dynamics compared with existing SL benchmarks.
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
(2023)
Article
Computer Science, Information Systems
Jianbing Ni, Man Ho Au, Wei Wu, Xiapu Luo, Xiaodong Lin, Xuemin Shen
Summary: A dual-anonymous off-line electronic cash scheme is proposed using the BBS+ signature algorithm, which ensures secure payment in mobile commerce.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2023)
Letter
Surgery
Wei Liu, Shuyun Ge, Huan Shi, Xuemin Shen
INTERNATIONAL JOURNAL OF SURGERY
(2023)
Letter
Surgery
Wei Liu, Xi Yang, Linjun Shi, Xuemin Shen
INTERNATIONAL JOURNAL OF SURGERY
(2023)
Article
Infectious Diseases
Junjun Chen, Hui Yao, Xiaoling Yuan, Lei Yan, Guoyao Tang, Kepeng Yan, Xuemin Shen
Summary: In this study, a rare case of palatal perforation caused by opportunistic oral mucosal fungal infection with Alternaria alternata in an immunocompetent adolescent is presented. The patient, who had been previously healthy, underwent diagnostic investigations and was confirmed to have A. alternata infection. Surgical debridement and voriconazole treatment were performed, leading to improvement of the patient's condition. These findings emphasize the importance of considering A. alternata as a potential pathogenic factor in etiological palatal perforation.
INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES
(2023)
Article
Materials Science, Multidisciplinary
Peiyu Cheng, Tong Zhao, Mingming Chen, Sixue Chen, Xuemin Shen, Yuan Liu, Shikuan Yang, Zhanguo Chen, Xiuxiu Dong, Quan Wang, Dawei Cao
Summary: Improved perovskite CH3NH3PbI3 thin films were grown through Co-based ZIF-67 additive assisted Co ion doping. These thin films exhibit low grain boundaries, low defect states, and improved structural stabilities. The performance and stability of photodetectors based on CH3NH3Pb0.98Co0.02I3 thin films were enhanced, demonstrating the positive role of suppressing defect states.
ADVANCED OPTICAL MATERIALS
(2023)
Article
Computer Science, Information Systems
Yuntao Wang, Zhou Su, Ning Zhang, Rui Xing, Dongxiao Liu, Tom H. Luan, Xuemin Shen
Summary: Metaverse, as the next-generation Internet paradigm, aims to build a fully immersive and self-sustaining virtual shared space for humans. However, privacy invasions and security breaches pose challenges to its deployment. This paper presents a comprehensive survey of the fundamentals, security, and privacy of metaverse and highlights the need for future research directions.
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS
(2023)
Article
Computer Science, Information Systems
Minrui Xu, Wei Chong Ng, Wei Yang Bryan Lim, Jiawen Kang, Zehui Xiong, Dusit Niyato, Qiang Yang, Xuemin Shen, Chunyan Miao
Summary: The concept of the Metaverse is growing in popularity, but current versions still fall short of realizing its immersive, embodied, and interoperable vision. This survey focuses on the edge-enabled Metaverse and explores the challenges and solutions in communication, networking, computation, and blockchain technologies to realize its ultimate vision.
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS
(2023)
Article
Computer Science, Information Systems
Wanting Yang, Hongyang Du, Zi Qin Liew, Wei Yang Bryan Lim, Zehui Xiong, Dusit Niyato, Xuefen Chi, Xuemin Shen, Chunyan Miao
Summary: This paper mainly introduces that the sixth-generation (6G) wireless networks will shift from a traditional architecture that focuses solely on a high transmission rate to a new architecture that is based on the intelligent connection of everything, and Semantic communication (SemCom) is predicted to become a new core paradigm in 6G. The paper provides a holistic review of the fundamentals of SemCom, its applications in 6G networks, and the existing challenges and open issues with insights for further in-depth investigations.
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS
(2023)
Article
Computer Science, Information Systems
Wei Quan, Ziheng Xu, Mingyuan Liu, Nan Cheng, Gang Liu, Deyun Gao, Hongke Zhang, Xuemin Shen, Weihua Zhuang
Summary: This paper presents a survey on the recent research in AI-driven packet forwarding with programmable data plane (PDP). Two representative frameworks of packet forwarding, traditional AI-driven forwarding and PDP-assisted forwarding, are described. The capacity of packet forwarding under these frameworks is evaluated in terms of delay, throughput, security, and reliability. The paper also identifies three directions in the development of AI-driven packet forwarding and highlights challenges and issues in future research.
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS
(2023)
