Article
Engineering, Electrical & Electronic
Jie Zeng, Chiyang Xiao, Zhong Li, Wei Ni, Ren Ping Liu
Summary: This paper proposes two novel dynamic power allocation schemes for the uplink NOMA system with paired users, aiming to improve the sum effective capacity (SEC) and effective energy efficiency (EEE).
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2021)
Article
Automation & Control Systems
Muhammad Waseem Akhtar, Syed Ali Hassan, Aamir Mahmood, Haejoon Jung, Hassaan Khaliq Qureshi, Mikael Gidlund
Summary: This article proposes a Q-learning-based algorithm to handle matching problems in wireless use cases in the industrial Internet of Things networks. The algorithm maximizes system throughput and spectral efficiency while maintaining quality-of-service requirements.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Computer Science, Information Systems
Ting Qi, Wei Feng, Yunfei Chen, Arumugam Nallanathan
Summary: This article addresses the challenge of meeting diverse Quality of Service (QoS) requirements for machine-type communication (MTC) networks. By dividing the devices into clusters and employing a cross-layer approach, it tackles the cluster access control and intracluster resource allocation problems to satisfy double delay requirements. Simulation results demonstrate that the proposed scheme outperforms other schemes in terms of access efficiency, delay, throughput, and consumed power.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Hardware & Architecture
Yutong Wu, Jianyue Zhu, Xiao Chen, Yu Zhang, Yao Shi, Yaqin Xie
Summary: This paper proposes a quality-of-service-based SIC order method and optimizes power allocation for maximizing the rate in the uplink NOMA system. The simulation results demonstrate the superiority of the proposed method compared to traditional orthogonal multiple access and exhaustive search.
Article
Engineering, Electrical & Electronic
Yazhou Zhu, Christian A. Hofmann, Andreas Knopp
Summary: This work investigates the application of nonorthogonal transmission in beamforming-based next-generation satellite communication. The goal is to enhance system throughput by using nonorthogonal multiple access technique to serve multiple users per time slot. The authors propose distributed resource optimization strategies for beamforming and flexible power resource allocation in multigateway nonorthogonal satellite communication systems.
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
(2022)
Article
Computer Science, Information Systems
Jianhang Chu, Xiaoming Chen, Caijun Zhong, Zhaoyang Zhang
Summary: This article investigates massive access in a B5G multibeam LEO satellite IoT network using NOMA scheme and proposes robust beamforming algorithms against channel phase uncertainty to minimize total power consumption in different IoT application scenarios, demonstrating effective energy savings.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Computer Science, Information Systems
Yongjun Xu, Zhijin Qin, Guan Gui, Haris Gacanin, Hikmet Sari, Fumiyuki Adachi
Summary: This letter presents the first attempt to address the EE-based RA problem for NOMA-BackComNet with QoS guarantee, optimizing the transmit power of the base station and the RC of the backscatter device to maximize user EE. Simulation results confirm the effectiveness of the proposed scheme in improving EE compared to other schemes.
IEEE WIRELESS COMMUNICATIONS LETTERS
(2021)
Article
Computer Science, Information Systems
Bo Yin, Jianhua Tang, Miaowen Wen, Weihua Li
Summary: The rapid development of the Industrial Internet of Things (IIoT) has brought new possibilities for industrial manufacturing, along with challenges such as massive connectivity and multiservice. In this article, the authors propose a solution using nonorthogonal multiple access (NOMA) and wireless network slicing scenario to address these challenges. By considering joint subcarrier association and power allocation, they formulate the connectivity maximization problem as a mixed-integer nonlinear programming (MINLP) problem. The proposed layered access (LA) algorithm shows better performance compared to benchmark schemes, as demonstrated through simulation results.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Computer Science, Information Systems
Qing Ye, Faxiang Zhao, Weiyang Xu
Summary: In this paper, a two-tier nonorthogonal multiple access (NOMA) based ISTN model with wireless caching is proposed to address the issue of long waiting time for cache updates. Through performance analysis of the proposed configuration, it is shown that the scheme achieves lower outage probability and higher diversity order.
WIRELESS COMMUNICATIONS & MOBILE COMPUTING
(2022)
Article
Engineering, Electrical & Electronic
Zining Wang, Min Lin, Shiyong Sun, Ming Cheng, Wei-Ping Zhu
Summary: This paper proposes a downlink transmission scheme that combines robust beamforming and non-orthogonal multiple access for multibeam satellite systems. The scheme aims to enhance spectral efficiency and user fairness. By utilizing imperfect channel state information and considering fairness among multiple satellite terminals, an optimization problem is formulated to maximize the sum fair utility while meeting transmit power budget and quality-of-service requirements. The non-convex problem is solved using a discretization method and an iterative penalty function algorithm. Simulation results demonstrate the effectiveness and superiority of the proposed scheme in achieving a balance between system performance and user fairness.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2022)
Article
Computer Science, Information Systems
Kai Peng, Bohai Zhao, Muhammad Bilal, Xiaolong Xu, Anand Nayyar
Summary: This study aims to construct a cloud-edge collaborative network architecture and proposes a new QoS-aware micro service scheduling method to improve the working and management efficiency of the Industrial Internet of Things (IIoT). The experimental results demonstrate that the proposed method performs well in terms of latency, resource utilization, and fairness, while protecting users' privacy.
HUMAN-CENTRIC COMPUTING AND INFORMATION SCIENCES
(2023)
Article
Computer Science, Hardware & Architecture
Ye Yang, Haiyang Jiang, Yulei Wu, Chunjing Han, Yilong Lv, Xing Li, Bowen Yang, Serge Fdida, Gaogang Xie
Summary: The study proposes a CPU-cycle based QoS strategy (C2QoS) to guarantee service network performance and achieve network bandwidth limitation and latency reduction by managing CPU cores in vSwitch.
JOURNAL OF SYSTEMS ARCHITECTURE
(2021)
Article
Computer Science, Hardware & Architecture
Xin Liu, Kwok-Yan Lam, Feng Li, Jun Zhao, Li Wang, Tariq S. Durrani
Summary: The explosive growth of bandwidth-hungry Internet applications has driven the rapid development of new generation mobile network technologies, such as 6G networks and high-throughput satellite communication services, to achieve pervasive broadband access to the Internet. The integration of satellite-terrestrial communication networks (ISTCNs) aims to provide high-speed and pervasive network access by integrating terrestrial mobile networks with satellite communication systems. Effective spectrum management techniques, such as non-orthogonal multiple access (NOMA) and cognitive radio (CR), are needed to reduce congestion and interference in spectrum sharing for ISTCNs.
Article
Computer Science, Hardware & Architecture
Zhilan Wan, Ding Xu, Dahu Xu, Ishtiaq Ahmad
Summary: This paper investigates a NOMA-based multi-access MEC system, where optimization of MEC servers, users, transmit power, computation resource, time, and channel allocations to minimize overall task delay is considered. A heuristic algorithm is proposed to solve the problem, outperforming benchmark algorithms according to extensive simulations.
Article
Automation & Control Systems
Tantan Zhao, Fan Li, Lijun He
Summary: This article proposes a deep reinforcement learning-based approach for resource allocation in federated learning, in order to achieve a more accurate model and reduce overhead for hierarchical federated learning with mobile edge computing in the Industrial Internet of Things (IIoT).
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Engineering, Civil
Wei Gao, Celimuge Wu, Lei Zhong, Kok-Lim Alvin Yau
Summary: Vehicle platoons are closely connected groups of vehicles moving in the same direction at a certain speed. In order to address communication challenges within platoons, a spectrum sensing scheduling scheme is proposed. This scheme establishes a three-level platoon architecture and utilizes a greedy algorithm and vehicle-to-vehicle communication to minimize platoon delay and improve safety.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Computer Science, Information Systems
Jie Yin, Yang Xiao, Qingqi Pei, Ying Ju, Lei Liu, Ming Xiao, Celimuge Wu
Summary: In this article, we propose SmartDID, a novel blockchain-based distributed identity that aims to establish a self-sovereign identity and provide strong privacy preservation. Our method configures IoT devices as light nodes and designs a Sybil-resistant, unlinkable, and supervisable distributed identity. We further develop a dual-credential model based on commitment and zero-knowledge proofs to protect privacy. Our scheme achieves better performance compared to CanDID in terms of both credential generation and proof generation.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Computer Science, Information Systems
Zhaohui Wei, Qingqi Pei, Ning Zhang, Xuefeng Liu, Celimuge Wu, Amirhosein Taherkordi
Summary: With the proliferation of IoT devices and the resulting accumulation of large amounts of data, there is a need for data analysis applications. This work proposes a lightweight privacy-preserving FedL scheme for IoT devices. It adds masks to parameters to protect the privacy of individual local data and incorporates a secure mask reusing mechanism for large-scale FedL tasks to reduce interactions among users. Extensive experiments on real IoT devices demonstrate the accuracy and efficiency of this scheme.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Computer Science, Information Systems
Liwen Niu, Xianfu Chen, Ning Zhang, Yongdong Zhu, Rui Yin, Celimuge Wu, Yangjie Cao
Summary: Mobile-edge computing (MEC) enables computation offloading from resource-constrained mobile devices to nearby servers. However, spectrum congestion poses a challenge to computation task scheduling, affecting the quality of computation experience. This article investigates computation task scheduling in a heterogeneous cellular and WiFi MEC system, considering both licensed and unlicensed spectrum opportunities.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Review
Computer Science, Information Systems
Junting Gao, Chunrong Peng, Tsutomu Yoshinaga, Guorong Han, Siri Guleng, Celimuge Wu
Summary: Internet of Vehicles (IoV) is a network that connects vehicles and everything, sharing traffic data and bringing potential to people's life. The use of blockchains in IoV can build a safe and reliable vehicle network, solving resource consumption and security issues. Researches have investigated the application of blockchains in IoV, summarizing and comparing studies, and identifying future trends and opportunities.
Editorial Material
Telecommunications
Celimuge Wu, Kok-Lim Alvin Yau, Zonghua Zhang, Damla Turgut, Shiwen Mao
IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING
(2023)
Article
Engineering, Electrical & Electronic
Yapeng Zhao, Qingqing Wu, Wen Chen, Celimuge Wu, H. Vincent Poor
Summary: This article introduces a method to improve the performance of federated learning (FL) in AirComp by using intelligent reflecting surfaces (IRS). By designing multiple communication rounds to minimize the optimality gap of the loss function, this long-term design strategy achieves higher test accuracy in FL than the conventional isolated design approach.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Ying Ju, Guoxue Zou, Haowen Bai, Lei Liu, Qingqi Pei, Celimuge Wu, Sattam Al Otaibi
Summary: In this paper, a random beam switching (RBS) based physical layer key generation (PLKG) scheme is proposed for millimeter wave (mmWave) systems. The effectiveness, reliability and security performance of the RBS scheme are theoretically analyzed. Numerical results are provided to verify the theoretical analysis, which demonstrate that the RBS scheme can provide sufficient secret keys and achieve good secrecy performance to safeguard electronic devices.
IEEE TRANSACTIONS ON CONSUMER ELECTRONICS
(2023)
Article
Engineering, Electrical & Electronic
Axida Shan, Xiumei Fan, Celimuge Wu, Xinghui Zhang, Rui Men
Summary: Cooperative communication among nodes on roads is crucial in vehicular networks, but selfish nodes greatly reduce network performance. Therefore, this paper proposes a novel detection scheme that takes into account link quality, mobility, and vehicle behaviors using fuzzy logic in a decentralized manner. Additionally, a perception module based on probabilistic calculations is deployed to improve detection decisions. Simulation results demonstrate that the proposed scheme outperforms conventional schemes in terms of Precision, Recall, and F1-score, with acceptable communication overhead.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Computer Science, Information Systems
Zhaoyang Du, Chunrong Peng, Tsutomu Yoshinaga, Celimuge Wu
Summary: This paper proposes a Q-learning-based load-balancing method that optimizes the distribution of real-time tasks between edge servers and cloud servers, reducing processing time. Extensive simulations in an Edge-Cloud network environment demonstrate that the proposed method significantly reduces processing time compared to traditional static load-balancing methods. The Q-learning algorithm enables the system to dynamically learn the optimal decision-making strategy to allocate tasks effectively.
Article
Telecommunications
Jiantao Yuan, Zheyi Wu, Rui Yin, Guangzhe Zhao, Xianfu Chen, Celimuge Wu
Summary: Rational sharing of unlicensed spectrum and efficient use of device-to-device (D2D) communication are effective ways to improve energy efficiency (EE) and spectrum efficiency (SE) in 5G new radio system. This paper extends D2D technology to unlicensed spectrum and studies the EE of user terminals in unlicensed D2D (D2D-U) system. A distributed adaptive joint power and spectrum allocation scheme is proposed based on the differentiated projection method to maximize the EE of user terminals, considering the distributed structure and time-varying wireless fading channels in D2D-U networks. Theoretical analysis and numerical results validate the performance of the proposed scheme, which significantly reduces signaling overhead and achieves global optimality.
IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING
(2023)
Article
Computer Science, Information Systems
Kok-Lim Alvin Yau, Yung-Wey Chong, Xiumei Fan, Celimuge Wu, Yasir Saleem, Phei-Ching Lim
Summary: This paper presents the application of various variants of reinforcement learning (RL) in diabetes management. It focuses on improving blood glucose levels and the similarity between RL and physician's policies. The paper discusses the attributes of RL, essential training elements, representation of diabetes attributes, and different types of RL algorithms. It also explores open issues and potential future developments in using RL for diabetes management.
Article
Computer Science, Hardware & Architecture
Xing An, Celimuge Wu, Yangfei Lin, Min Lin, Tsutomu Yoshinaga, Yusheng Ji
Summary: Multi-robot systems are gaining attention due to their lower cost, better robustness, and higher scalability compared to single-robot systems. Cooperative object transport is a well-known use case of multi-robot systems and has great potential in real-world applications. However, recent studies focus more on coordination and task allocation problems, with less emphasis on communication among multiple robots.
IEEE OPEN JOURNAL OF THE COMPUTER SOCIETY
(2023)
Article
Computer Science, Hardware & Architecture
Narisu Cha, Zhaoyang Du, Celimuge Wu, Tsutomu Yoshinaga, Lei Zhong, Jing Ma, Fuqiang Liu, Yusheng Ji
Summary: Federated learning is a promising paradigm for achieving distributed intelligence while protecting user privacy in vehicular networks. This study proposes a fuzzy logic-based client selection scheme that considers the number of local samples, samples freshness, computation capability, and available network throughput.
IEEE OPEN JOURNAL OF THE COMPUTER SOCIETY
(2022)
Proceedings Paper
Computer Science, Theory & Methods
Qiqi Xiao, Jiantao Yuan, Rui Yin, Wei Qi, Celimuge Wu, Xianfu Chen
Summary: This paper explores the application of ultra-reliable and low-latency communication (URLLC) in the Internet of Things (IoTs), utilizing both licensed and unlicensed spectrums for transmissions. It adopts duty-cycle muting (DCM) to ensure fair coexistence with WiFi networks. User grouping, mini-slot frame structure, and finite block length regime are employed to guarantee low latency and high reliability. Additionally, a minimum power optimization model is established to reduce power consumption and provide globally optimal solutions.
MOBILE NETWORKS AND MANAGEMENT, MONAMI 2021
(2022)
