Article
Computer Science, Information Systems
Xin Liu, Min Jia, Mu Zhou, Bin Wang, Tariq S. Durrani
Summary: The lack of spectrum resources has become a key technical bottleneck for the development of Industrial Internet of Things (IIoT), as the 2.4-GHz unlicensed frequency band it utilizes is heavily used by other communication systems. The proposed integrated cooperative spectrum sensing and access control model aims to improve the transmission performance of Cognitive IIoT (CIIoT) while ensuring a high detection probability and controlling interference to primary users (PU). The optimization problem is solved by jointly optimizing spectrum sensing and access control parameters, and a simultaneous CSS and access control model is also presented to increase communication time.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Chemistry, Analytical
Mohammed Abdulhakim Al-Absi, Ahmed Abdulhakim Al-Absi, Rui Fu, Ki-Hwan Kim, Young-Sil Lee, Byung-Gook Lee, Sang-Gon Lee, Hoon-Jae Lee
Summary: The evolution of the internet has led to the growth of smart application requirements in VANET. However, this also induces security vulnerabilities, requiring effective security and authentication mechanisms to prevent intruders. Cryptography-based methods aid in preserving user privacy, but existing models come with communication and key management overhead.
Article
Telecommunications
Abbass Nasser, Hussein Al Haj Hassan, Ali Mansour, Koffi-Clement Yao, Loutfi Nuaymi
Summary: This paper investigates the impact of deploying Intelligent Reflecting Surface (IRS) on spectrum sensing in cognitive radio networks, considering two different scenarios. The results show that deploying IRS can significantly enhance spectrum sensing performance.
IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING
(2022)
Article
Computer Science, Information Systems
Arshad Iqbal, Tae-Jin Lee
Summary: This study proposes a new access control mechanism based on frame-slotted ALOHA for distributed wireless powered IoT networks, aiming to enhance network throughput and energy efficiency.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Review
Engineering, Electrical & Electronic
Muhammad Yeasir Arafat, Sabitri Poudel, Sangman Moh
Summary: This study extensively investigates existing MAC protocols for FANETs, focusing on design issues, characteristics, advantages, and limitations of the protocols. The MAC protocols are qualitatively compared in terms of major features, characteristics, and performance factors. Open issues and research challenges are summarized and discussed.
IEEE SENSORS JOURNAL
(2021)
Article
Telecommunications
Hao Fang, Tao Zhang, Linyuan Zhang, Hao Wu, Guoru Ding, Yueming Cai
Summary: This paper discusses how to detect illegal spectrum access behaviors in dynamic spectrum sharing, proposes a two-step detector and cooperative spectrum sensing scheme, and conducts performance simulations of the proposed detection schemes.
IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING
(2021)
Article
Computer Science, Information Systems
Qing Xia, Zahed Hossain, Michael Medley, Josep Miquel Jornet
Summary: This paper introduces a link-layer synchronization and medium access control (MAC) protocol for very-high-speed wireless communication networks in the Terahertz band. Through analysis and extensive simulations with ns-3, the proposed protocol is shown to maximize the successful packet delivery probability without compromising the achievable throughput in THz-band communication networks.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2021)
Article
Telecommunications
Bharath Keshavamurthy, Nicolo Michelusi
Summary: The LESSA framework introduces a novel learning-based spectrum sensing and access strategy, achieving a good balance between sensing accuracy and CR throughput by learning the LUs spectrum occupancy model and optimizing the spectrum sensing and access policy. MA-LESSA further extends to a distributed multi-agent setting, improving CR throughput through neighbor discovery and channel access rank allocation.
IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING
(2022)
Article
Computer Science, Information Systems
Weiqi Chen, Quansheng Guan, Hua Yu, Fei Ji, Fangjiong Chen
Summary: The article investigates the impact of long propagation delay on medium access control in underwater acoustic networks, revealing a space-time coupling relationship for collision-free transmissions. By deriving collision probabilities and designing low-complexity algorithms, it suggests potential improvements for random access protocols.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Computer Science, Information Systems
Shisheng Hu, Yiyang Pei, Ying-Chang Liang
Summary: The study proposes the application of blockchain to DSA and aims to optimize the frame structure regarding sensing time and mining time to maximize achievable throughput. It proves the existence of a unique maximum point for both sub-optimization problems and proposes an alternating algorithm for optimization, illustrating the tradeoff and effectiveness through simulations.
IEEE WIRELESS COMMUNICATIONS LETTERS
(2021)
Article
Chemistry, Analytical
Kejian Jiang, Chi Ma, Ruiquan Lin, Jun Wang, Weibing Jiang, Haifeng Hou
Summary: With the rapid development of technologies, such as wireless communications and the Internet of Things, the competition for spectrum resources will be intensified. Cognitive radio technology can address the spectrum shortage issue in IoT. However, the open environment of cognitive IoT may lead to free-riding problems, where participants opportunistically gain rewards by stealing spectrum sensing results. This behavior negatively impacts the system's fault tolerance and performance.
Article
Telecommunications
Zhe Chu, Fei Hu, Jiamiao Zhao, Linsheng He, Elizabeth Serena Bentley, Sunil Kumar
Summary: The design of medium access control (MAC) in mobile networks with directional antennas is challenging due to the difficulty of defining RF interference range and the changes of interference range due to node mobility. This research focuses on coordinating directional data reception and transmission based on directional interference range computation. An innovative MAC mechanism is proposed, including an exclusive region (ER) map for determining interference range, spatio-temporal ER-map evolution prediction using a Deep ST-ResNet+ model, and an optimized directional MAC protocol based on ER map predictions. Comprehensive simulations are conducted to validate the proposed scheme's throughput efficiency.
IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING
(2023)
Article
Green & Sustainable Science & Technology
Dinesh Kumar Sah, Tarachand Amgoth, Korhan Cengiz
Summary: In emerging business markets, data is increasingly important for achieving growth in areas such as marketing, manufacturing, and future trend analysis. Tiny sensor placements in various fields are used to collect and process data for information retrieval or decision making.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2022)
Article
Engineering, Electrical & Electronic
Yoel Bokobza, Ron Dabora, Kobi Cohen
Summary: This paper investigates the problem of dynamic spectrum access (DSA) in cognitive wireless networks, where secondary users (SUs) can only obtain partial observations due to narrowband sensing and transmissions. The objective is to maximize the SU's long-term throughput by developing a novel algorithm called Double Deep Q-network for Sensing and Access (DDQSA) that learns both access and sensing policies via deep Q-learning. The proposed algorithm achieves near-optimal performance and outperforms existing approaches in certain scenarios.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2023)
Article
Mathematics, Interdisciplinary Applications
Ang Li, Chen Zhang, Baoyu Zheng, Lei Li
Summary: The paper introduces a small controller design based on game theory, addressing the issue of stable control in the system, and proposes a new multihop channel reservation MAC protocol.
Article
Engineering, Electrical & Electronic
Xuelin Cao, Bo Yang, Yulong Shen, Chau Yuen, Yan Zhang, Zhu Han, H. Vincent Poor, Lajos Hanzo
Summary: Sixth-Generation (6G) technologies will revolutionize the wireless ecosystem through satellite-terrestrial integrated networks (STINs). This research investigates the application of edge computing paradigm to low Earth orbit satellite (LEOS) networks for supporting computation-intensive and delay-sensitive services. A LEOS edge-assisted multi-layer multi-access edge computing (MEC) system is proposed, which enhances the coverage and solves computing problems in congested and isolated areas. Optimization problems are formulated and solved using an alternating optimization (AO) method to achieve low computing latency and energy dissipation.
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
(2023)
Article
Computer Science, Information Systems
Ran Ji, Shuo Chen, Chongwen Huang, Jun Yang, Wei E. I. Sha, Zhaoyang Zhang, Chau Yuen, Merouane Debbah
Summary: In this paper, the authors explore the potential of evanescent waves for improving spatial degrees of freedom and channel capacity in the reactive near-field region. The study focuses on transceivers with spatially-constrained antenna apertures of rectangular symmetry and employs the Fourier plane-wave series expansion for analysis. The results indicate that evanescent waves have a significant role in enhancing the performance of information transmission in near-field scenarios.
IEEE WIRELESS COMMUNICATIONS LETTERS
(2023)
Article
Computer Science, Information Systems
Mengbing Liu, Xin Li, Boyu Ning, Chongwen Huang, Sumei Sun, Chau Yuen
Summary: In this letter, the estimation of cascaded channels in a double-RIS aided massive MIMO system is investigated. To address this challenge, a skip-connection attention network is proposed to improve the channel estimation performance by utilizing self-attention layers and skip-connection structure.
IEEE WIRELESS COMMUNICATIONS LETTERS
(2023)
Article
Computer Science, Information Systems
Wanting Lyu, Yue Xiu, Songjie Yang, Chau Yuen, Zhongpei Zhang
Summary: In this letter, a cell-free network aided by hybrid reconfigurable intelligent surfaces (RISs) is investigated. The system is composed of passive and active elements that amplify and reflect the incident signal. A joint transmit beamforming and RIS coefficient optimization problem is formulated to maximize the energy efficiency (EE) of the system. The proposed algorithm decouples the variables and handles the non-convexity of the sub-problems through Dinkelbach transform, Lagrangian dual reformulation, quadratic transform, and successive convex approximation (SCA) method.
IEEE WIRELESS COMMUNICATIONS LETTERS
(2023)
Article
Engineering, Electrical & Electronic
Jiacheng Yao, Jindan Xu, Wei Xu, Chau Yuen, Xiaohu You
Summary: To fully exploit the additional dimension brought by recon-figurable intelligent surface (RIS), information can be modulated upon RIS phases to send extra information with increased communication rate. In this paper, a novel superimposed RIS-phase modulation (SRPM) scheme is proposed, which transfers extra messages by superimposing information-bearing phase offsets to conventionally optimized RIS phases. The theoretical analysis shows that SRPM achieves reliable communication of more bits and has a diversity order of 21.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Engineering, Electrical & Electronic
Yabo Guo, Peng Sun, Zhengdao Yuan, Chongwen Huang, Qinghua Guo, Zhongyong Wang, Chau Yuen
Summary: Reconfigurable intelligent surface (RIS) has great potential in wireless networks for achieving high energy efficiency, extended coverage, improved capacity, and massive connectivity. However, accurately acquiring channel state information for RIS-aided communications is challenging. Existing channel estimation methods for RIS-aided multiple-input and multiple-output (MIMO) communications have high computational complexity and special requirements on matrices involved, hindering their applications. In this work, a new signal model is derived and a more efficient channel estimator based on unitary approximate message passing (UAMP) is developed, which has linear complexity with the number of RIS units and does not have special requirements on matrices. Extensive numerical results show that the proposed estimator outperforms existing methods and reduces training overhead and latency.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2023)
Article
Automation & Control Systems
Kate Qi Zhou, Yan Qin, Chau Yuen
Summary: This article proposes an interpretable transfer learning-based method for estimating battery state of health (SOH) by exploiting temporal dynamics. The method synchronizes temporal data, analyzes distribution similarity, and constructs a comprehensive estimation model to improve accuracy. The proposed method achieves a significant improvement in accuracy compared to existing methods.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2023)
Article
Engineering, Electrical & Electronic
Jiancheng An, Chao Xu, Derrick Wing Kwan Ng, George C. Alexandropoulos, Chongwen Huang, Chau Yuen, Lajos Hanzo
Summary: A revolutionary technology called Stacked Intelligent Metasurfaces (SIM) enables advanced signal processing in the electromagnetic (EM) wave regime. SIM, which consists of multiple stacked metasurface layers, outperforms single-layer metasurfaces like reconfigurable intelligent surfaces (RIS) and metasurface lenses. In this study, we utilize SIM to implement holographic multiple-input multiple-output (HMIMO) communications without excessive radio-frequency (RF) chains. We propose an HMIMO communication system based on a pair of SIM at the transmitter (TX) and receiver (RX), respectively, and optimize the phase shifts of all metasurface layers to minimize the error between the actual channel matrix and the target diagonal matrix.
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
(2023)
Article
Computer Science, Information Systems
Ran Liu, Billy Pik Lik Lau, Khairuldanial Ismail, Achala Chathuranga, Chau Yuen, Simon X. Yang, Yong Liang Guan, Shiwen Mao, U-Xuan Tan
Summary: Simultaneous localization and mapping (SLAM) is crucial for unmanned systems to achieve self-localization and navigation. Performing SLAM in large environments is challenging due to sensor limitations, complexity of the environment, and computational resources. We propose a novel approach for localization and mapping that utilizes radio fingerprints, such as WiFi or LTE radio features, which are widely available in existing infrastructure. Our system includes two solutions: Radio SLAM, where a radio fingerprint map is generated using SLAM technique, and Radio+LiDAR SLAM, which improves accuracy and speed by using radio fingerprints to assist conventional LiDAR-based SLAM.
IEEE PERVASIVE COMPUTING
(2023)
Article
Engineering, Electrical & Electronic
Bo Xu, Xin Li, Jingrong Wang, Chau Yuen, Jiancheng Li
Summary: This article proposes a monocular direct sparse VIO method that can estimate camera motion and reconstruct a denser map of the scene in real-time using the direct method. The method compensates for the sensitivity to photometric changes by introducing geometric information. The system detects planar regularities from a 3D mesh constructed from the estimated map points and uses a tightly coupled coplanar constraint to improve pose estimation accuracy. Extensive experiments show that the proposed system outperforms state-of-the-art counterparts.
IEEE SENSORS JOURNAL
(2023)
Article
Engineering, Electrical & Electronic
Hongjia Wu, Jiangtian Nie, Zehui Xiong, Zhiping Cai, Tongqing Zhou, Chau Yuen, Dusit Niyato
Summary: In this work, we propose a dispersed service framework for resource-exhausted scenarios, which adaptively offloads users' data to available network computation points. A relay is introduced as a bridge for data offloading and a game-based incentive-driven mechanism is designed to balance the cost and gain factors of users, relays, and network computation points. A two-level Stackelberg game is established to efficiently allocate computation resource and resolve utility conflicts. Multiple relays are decomposed into single relay problems using a tripartite matching strategy for applicability in large-scale scenarios.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2023)
Article
Engineering, Civil
Zikai Feng, Mengxing Huang, Di Wu, Edmond Q. Q. Wu, Chau Yuen
Summary: Unmanned aerial vehicle (UAV)-assisted communication is a significant technology in 6G communication. Model-free multi-agent reinforcement learning (MARL) algorithm is used to optimize decision-making and achieve optimal mobile strategies for UAV, ground users, and aerial jammer, leading to maximum cumulative rewards for each entity.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Ammar Rafique, Naveed Ul Hassan, Muhammad Zubair, Ijaz Haider Naqvi, Muhammad Qasim Mehmood, Marco Di Renzo, Merouane Debbah, Chau Yuen
Summary: The ability of reconfigurable intelligent surfaces (RIS) to generate complex radiation patterns is influenced by various factors such as unit cell design, spatial arrangement, tuning mechanism, control circuit complexity, and illuminating source type. Research on RIS focuses on optimizing unit cells for specific frequency bands and exploring their applications in different settings. However, the complexity and power requirements of RIS control circuitry are often ignored. As RIS becomes more widespread, it is crucial to consider the interplay between unit cell design, surface-level radiation patterns, control circuit complexity, and power requirements.
IEEE OPEN JOURNAL OF THE COMMUNICATIONS SOCIETY
(2023)
Article
Automation & Control Systems
Khairuldanial Ismail, Ran Liu, Achala Athukorala, Benny Kai Kiat Ng, Chau Yuen, U-Xuan Tan
Summary: This paper proposes a method for obtaining odometry from WiFi scans, which is not limited to wheeled platforms and does not rely on traditional fingerprinting. Experimental results show that the proposed method can achieve a maximum Root Mean Square Error (RMSE) of 8.39m in various test cases.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
(2023)
Article
Automation & Control Systems
Anushiya Arunan, Yan Qin, Xiaoli Li, Chau Yuen
Summary: Data-driven industrial health prognostics benefit from the decentralized and privacy-preserving learning technique of federated learning (FL), which allows utilization of edge industrial data while complying with data privacy laws. However, developing accurate federated models for FL-based health prognostics tasks is challenging due to data heterogeneity among edge devices. We propose a pioneering FL-based health prognostic model with a feature similarity-matched parameter aggregation algorithm to effectively learn from heterogeneous edge data.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
(2023)
