Article
Engineering, Electrical & Electronic
Guanghua Liu
Summary: The research introduces the concept of MI-WPUSN, integrating MI communication techniques and wireless power transfer mechanisms to provide high network reliability potential with challenging data collection. A systematic research roadmap is outlined for data collection, spanning from sensor deployment to frequency-selective routing establishment.
IEEE COMMUNICATIONS MAGAZINE
(2021)
Article
Engineering, Electrical & Electronic
Cunhua Pan, Hong Ren, Kezhi Wang, Jonas Florentin Kolb, Maged Elkashlan, Ming Chen, Marco Di Renzo, Yang Hao, Jiangzhou Wang, A. Lee Swindlehurst, Xiaohu You, Lajos Hanzo
Summary: Reconfigurable intelligent surfaces (RISs) or intelligent reflecting surfaces (IRSs) are considered as one of the most promising and revolutionizing techniques for enhancing the spectrum and energy efficiency of wireless systems by reconfiguring the wireless propagation environment through carefully tuning the phase shifts of a large number of low-cost passive reflecting elements. The article aims to address four fundamental questions and highlights eight promising research directions.
IEEE COMMUNICATIONS MAGAZINE
(2021)
Article
Computer Science, Information Systems
Yusi Long, Gaofei Huang, Hui Zheng, Sai Zhao, Guiyun Liu, Dong Tang
Summary: In this article, a new hybrid relaying protocol is proposed for wireless multirelay networks with energy-constrained relays to improve network throughput. The protocol allows relays to switch between different operation modes based on channel states, data buffer states, and energy states, achieving efficient energy utilization and superior throughput performance. Numerical simulations demonstrate the effectiveness of the proposed strategy.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Information Systems
Zheng Chu, Pei Xiao, Mohammad Shojafar, De Mi, Wanming Hao, Jia Shi, Jie Zhong
Summary: This article proposes an intelligent reflecting surface (IRS)-enabled wireless-powered caching system. The system utilizes wireless energy from a power station (PS) to deliver information from IoT devices to an access point (AP), with the AP storing the data in a local cache. The inclusion of the IRS enhances the performance of the wireless energy and information transfer process.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Hardware & Architecture
Shihao Yan, Ullah Ihsan, Robert Malaney, Linlin Sun, Stefano Tomasin
Summary: This article discusses the issue of location verification in vehicular networks and provides solutions. Manipulations by malicious vehicles sending false location information can lead to poor operational outcomes and safety violations. With the help of mmWave technology and machine learning, simultaneous location reporting and verification can be achieved, providing solutions with reliability levels required by vehicular networks.
Article
Computer Science, Hardware & Architecture
Rang Liu, Ming Li, Honghao Luo, Qian Liu, A. Lee Swindlehurst
Summary: Integrated sensing and communication (ISAC) is a key solution for addressing spectrum congestion and increasing demands. By sharing resources and using reconfigurable intelligent surface (RIS) technology, ISAC achieves higher efficiencies. This article analyzes the potential of deploying RIS in ISAC systems to improve communication and sensing performance, discusses existing explorations, presents a case study, and outlines open challenges and research directions.
IEEE WIRELESS COMMUNICATIONS
(2023)
Article
Computer Science, Hardware & Architecture
Xuewen Luo, Hsiao-Hwa Chen, Qing Guo
Summary: This article provides an overview of the latest deep learning and end-to-end communication-based semantic communications, and discusses the open issues that need to be addressed.
IEEE WIRELESS COMMUNICATIONS
(2022)
Article
Engineering, Electrical & Electronic
Ian F. Akyildiz, Chong Han, Zhifeng Hu, Shuai Nie, Josep Miquel Jornet
Summary: This paper reviews the research achievements of THz band communications in the past decade and identifies the open challenges that need to be addressed, covering various aspects such as devices, channel behavior, communication and networking, and physical testbeds. These research findings will serve as the foundation for 6G and Beyond wireless systems in the next decade.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2022)
Article
Telecommunications
Saima Zafar, Hira Khalid
Summary: Free Space Optics (FSO) is an optical communication technique that disseminates light in free space to wirelessly transfer data at high data rates up to 2.5 Gbps. Despite advantages such as high bandwidth and unlicensed spectrum, challenges such as interference and atmospheric turbulences have hindered its widespread use. Researchers have proposed various solutions to address these challenges and there is a need for a comprehensive review of contemporary research in FSO to identify open research problems.
WIRELESS PERSONAL COMMUNICATIONS
(2021)
Article
Engineering, Electrical & Electronic
Kisong Lee, Hyun-Ho Choi, Woongsup Lee, Victor C. M. Leung
Summary: Interference, traditionally seen as detrimental to wireless communications, can be converted into a viable energy source for low-powered IoT devices through wireless energy harvesting. This paper introduces a wireless-powered interference network (WPIN) that proactively controls interference to improve bidirectional transmission rates. It presents an overview of WPIN applications in various wireless topologies, introduces a wireless interference harvesting protocol, and investigates coordinated resource management and beamforming schemes to improve WPIN performance. The simulation results demonstrate that properly utilizing interference decreases negative effects on information decoding and increases harvested energy, thus improving both downlink and uplink capacities.
IEEE VEHICULAR TECHNOLOGY MAGAZINE
(2023)
Article
Green & Sustainable Science & Technology
Muhammad Zeeshan Asghar, Shafique Ahmed Memon, Jyri Hamalainen
Summary: This article discusses the transition between 5G and 6G technologies, exploring the major obstacles and challenges that may be faced in achieving higher ideals.
Article
Engineering, Electrical & Electronic
Ricardo Parizotto, Lucas Castanheira, Fernanda Bonetti, Anderson Santos, Alberto Schaeffer-Filho
Summary: The article explores the significance and applications of reconfigurable intelligent surfaces in wireless systems, as well as highlighting future research directions.
IEEE COMMUNICATIONS MAGAZINE
(2021)
Article
Computer Science, Information Systems
Sana Fayyaz, Muhammad Atif Ur Rehman, Muhammad Salah Ud Din, Md. Israfil Biswas, Ali Kashif Bashir, Byung-Seo Kim
Summary: Information-centric networking (ICN) and named data networking (NDN) shift the communication architecture from host-centric to content-centric. ICN aims to resolve major issues in today's internet architecture such as privacy, security, consistent routing, and mobility. However, mobile consumer nodes face issues in wireless networks such as energy consumption, content retrieval delays, and bandwidth consumption.
Article
Engineering, Electrical & Electronic
Kechen Zheng, Xiaoying Liu, Biao Wang, Haifeng Zheng, Kaikai Chi, Yuan Yao
Summary: This paper investigates energy management in a wireless-powered communication network and proposes a method to dynamically adjust energy transfer mechanism based on the energy states and geographic locations of sensor nodes. By comparing the energy harvesting and data transmission ranges, the network topology is divided into two cases for throughput analysis, which ultimately proves the existence of an optimal energy threshold, enhancing the achievable throughput.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2021)
Article
Computer Science, Information Systems
Ying Liu, Kwan-Wu Chin, Changlin Yang
Summary: This article studies a novel problem in wireless-powered IoT networks, aiming to maximize the number of uploaded samples by utilizing ambient backscatter communications (AmBC) to conserve energy. The mixed-integer linear program (MILP) and heuristic approach are proposed to set the operation mode of devices based on their residual energy and data, resulting in increased total data uploaded by devices compared to the case without AmBC.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Computer Science, Information Systems
Huaqing Zhang, Yong Xiao, Shengrong Bu, Richard Yu, Dusit Niyato, Zhu Han
IEEE TRANSACTIONS ON CLOUD COMPUTING
(2020)
Article
Energy & Fuels
Wayes Tushar, Tapan Kumar Saha, Chau Yuen, M. Imran Azim, Thomas Morstyn, H. Vincent Poor, Dustin Niyato, Richard Bean
Article
Computer Science, Information Systems
Alia Asheralieva, Dusit Niyato
IEEE INTERNET OF THINGS JOURNAL
(2020)
Article
Telecommunications
Meng Chen, Kun Zhu, Ran Wang, Dusit Niyato
IEEE COMMUNICATIONS LETTERS
(2020)
Article
Engineering, Electrical & Electronic
Jiequ Ji, Kun Zhu, Dusit Niyato, Ran Wang
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2020)
Article
Engineering, Electrical & Electronic
Yuze Zou, Shimin Gong, Jing Xu, Wenqing Cheng, Dinh Thai Hoang, Dusit Niyato
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2020)
Article
Engineering, Electrical & Electronic
Zehui Xiong, Jiawen Kang, Dusit Niyato, Ping Wang, H. Vincent Poor, Shengli Xie
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2020)
Article
Computer Science, Hardware & Architecture
Yi Liu, Jialiang Peng, Jiawen Kang, Abdullah M. Iliyasu, Dusit Niyato, Ahmed A. Abd El-Latif
IEEE WIRELESS COMMUNICATIONS
(2020)
Article
Engineering, Electrical & Electronic
Helin Yang, Zehui Xiong, Jun Zhao, Dusit Niyato, Qingqing Wu, H. Vincent Poor, Massimo Tornatore
Summary: This study focuses on utilizing intelligent reflecting surfaces to mitigate malicious interference caused by smart jammers and enhance communication performance by optimizing power allocation and reflecting beamforming. The proposed fuzzy win or learn fast-policy hill-climbing (WoLF-CPHC) learning method efficiently improves the effectiveness of anti-jamming power allocation and reflecting beamforming strategies.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2021)
Article
Telecommunications
Zehui Xiong, Yang Zhang, Wei Yang Bryan Lim, Jiawen Kang, Dusit Niyato, Cyril Leung, Chunyan Miao
Summary: This paper proposes a Markov decision process (MDP) model to optimize energy and data transfer for UAV-assisted communication in massive machine type communication (mMTC). The MDP model is solved by value iteration algorithm to obtain optimal strategies for the UAV, and further extended to address uncertainties, partially observable states, and large state space. Simulation results demonstrate that the MDP model with deep reinforcement learning (DRL) can achieve better wireless energy and data transfer strategies compared to baseline schemes.
IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING
(2021)
Article
Engineering, Civil
Jer Shyuan Ng, Wei Yang Bryan Lim, Hong-Ning Dai, Zehui Xiong, Jianqiang Huang, Dusit Niyato, Xian-Sheng Hua, Cyril Leung, Chunyan Miao
Summary: This paper proposes the use of UAVs as wireless relays to improve the accuracy of FL by facilitating communication between IoV components and the FL server, and presents a joint auction-coalition formation framework to address the allocation of UAV coalitions, maximizing individual profits.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2021)
Article
Computer Science, Cybernetics
Chia-Yu Lin, Yu-Fang Chiu, Li-Chun Wang, Dusit Niyato
Summary: A multilayer LTM (ML-LTM) was introduced to handle the hierarchical clustering issues of multicontent variables and to develop a multicontent recommendation system. Experimental results showed that ML-LTM achieved a higher recommendation accuracy and an incremental update approach was proposed to save updating time.
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS
(2021)
Article
Engineering, Electrical & Electronic
Zhixin Liu, Sainan Wang, Yang Liu, Yu Wang, Xinping Guan, Dusit Niyato
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2020)
Proceedings Paper
Computer Science, Theory & Methods
Kongrath Suankaewmanee, Ng Pei Sin, Dusit Niyato
2020 ACM/IEEE FIFTH INTERNATIONAL CONFERENCE ON INTERNET OF THINGS DESIGN AND IMPLEMENTATION (IOTDI 2020)
(2020)
Article
Computer Science, Hardware & Architecture
Junjie Tan, Ying-Chang Liang, Nguyen Cong Luong, Dusit Niyato
Summary: Traditional centralized learning networks are facing challenges in privacy preservation and communication overheads, leading to the proposal of federated learning networks as a promising alternative. FLNs utilize edge devices for distributed training, preserving privacy and reducing communication overheads. However, the reliance on contributions from all devices can make the training process vulnerable to poisoning attacks.