Article
Computer Science, Information Systems
Dingcai Zhang, Qingqing Wu, Miao Cui, Guangchi Zhang, Dusit Niyato
Summary: This letter investigates an IRS-assisted wireless powered communication network, optimizing reflect beamforming and time allocation to maximize network throughput, with proposed algorithm showing effectiveness in solving the problem and simulation results illustrating the impact of user clustering on network performance.
IEEE WIRELESS COMMUNICATIONS LETTERS
(2021)
Article
Computer Science, Information Systems
Haitham Al-Obiedollah, Haythem A. Bany Salameh, Kanapathippillai Cumanan, Zhiguo Ding, Octavia A. Dobre
Summary: This paper investigates the deployment of multi-IRS units in a hybrid TDMA-NOMA system. A self-sustainable scenario is proposed where IRS units can harvest energy and serve clusters of users. An efficient algorithm is proposed for user clustering and IRS assignment. The resource allocation problem is formulated to minimize transmit power while satisfying quality-of-service constraints, and an iterative algorithm is developed to solve it. Simulation results show that the proposed self-sustainable IRS-aided TDMA-NOMA system achieves lower power consumption and sustainability compared to benchmark approaches.
Article
Engineering, Electrical & Electronic
Baogang Li, Fuqiang Si, Wei Zhao, Haijun Zhang
Summary: The proposed NOMA-aided user cooperative scheme in a three-node WPT-MEC system optimizes energy consumption and demonstrates significant improvement over other benchmark schemes through simulations.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2021)
Article
Computer Science, Information Systems
Qingqing Wu, Xiaobo Zhou, Robert Schober
Summary: Intelligent reflecting surface (IRS) technology can improve the efficiency of WPCNs by reconfiguring signal propagation environments, and maximizing the total throughput of all devices through joint optimization of IRS phase shifts and resource allocation.
IEEE WIRELESS COMMUNICATIONS LETTERS
(2021)
Article
Computer Science, Information Systems
Sheng Zeng, Xiaohong Huang, Dandan Li
Summary: This article investigates a cooperative computation offloading scheme for a basic three-node wireless-powered MEC scenario with NOMA, where users overcome the effect of double-far-near through joint communication and computation cooperation. Simulation results show that the proposed scheme achieves the best performance compared with several baseline schemes.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Telecommunications
Pengcheng Chen, Bin Lyu, Yan Liu, Haiyan Guo, Zhen Yang
Summary: This paper proposes a multiple intelligent reflecting surfaces (IRSs) assisted wireless-powered mobile edge computing system. Energy beamforming and multiple-user detection technologies are exploited to improve the system performance. The authors formulate the sum computation rate maximization problems for both partial and binary offloading schemes and propose an efficient alternating optimization method to solve them. Numerical results show the superiority of the proposed schemes.
IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING
(2023)
Article
Engineering, Electrical & Electronic
Bin Lyu, Parisa Ramezani, Dinh Thai Hoang, Abbas Jamalipour
Summary: This paper discusses the integration of intelligent reflecting surface (IRS) technology into non-orthogonal multiple access (NOMA) wireless powered communication networks (WPCNs). The proposed NOMA-based scheme achieves a considerable performance gain in uplink sum-rate while meeting the minimum rate requirement.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2022)
Article
Computer Science, Information Systems
Dongyeong Song, Wonjae Shin, Jungwoo Lee
Summary: This study examines wireless powered communication networks with a hybrid access-point, an intelligent reflecting surface, and multiple users. By jointly optimizing the transmit time, power, and phase shifts induced by the IRS, the sum-throughput of the network is maximized, enhancing system performance.
IEEE WIRELESS COMMUNICATIONS LETTERS
(2021)
Article
Computer Science, Information Systems
Han Li, Ke Xiong, Rui Dong, Pingyi Fan, Khaled Ben Letaief
Summary: This study investigates the joint active and passive beamforming in intelligent reflecting surface-enhanced wireless powered mobile edge computing networks. By optimizing the time assignment, active beamforming, transmit power, computing frequency, and passive beamforming, the system's computation rate can be maximized.
IEEE WIRELESS COMMUNICATIONS LETTERS
(2022)
Article
Telecommunications
Xingwang Li, Zhen Xie, Zheng Chu, Varun G. Menon, Shahid Mumtaz, Jianhua Zhang
Summary: This study investigates an intelligent reflecting surface (IRS) wireless-powered NOMA Internet-of-Things (IoT) network, where multiple NOMA IoT devices can communicate with an access point (AP) with the assistance of IRS. A novel resource allocation scheme is proposed to maximize the sum throughput of the system by jointly optimizing the time allocation factor and phase shift matrices. Results show that IRS enhances the sum throughput compared to the scenario without IRS, highlighting the advantages of employing IRS.
IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING
(2022)
Article
Computer Science, Information Systems
Haina Zheng, Ke Xiong, Pingyi Fan, Zhangdui Zhong, Zhiguo Ding, Khaled Ben Letaief
Summary: This article investigates a multifog server-assisted NOMA-based wireless powered network, where the performance limit of the wireless device is explored through joint optimization of time assignment, power allocation, and computation frequency. The proposed design achieves a higher computation rate compared to benchmark schemes, and employing NOMA improves the WD's computation rate over OMA-based schemes.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Engineering, Electrical & Electronic
Yao Zhu, Xiaopeng Yuan, Yulin Hu, Tong Wang, M. Cenk Gursoy, Anke Schmeink
Summary: This paper investigates the performance of a hybrid multi-access scheme that combines the advantages of non-orthogonal multiple access (NOMA) and time-division multiple access (TDMA) schemes in the finite blocklength (FBL) regime. Two latency-sensitive application scenarios are studied, one with queuing behavior influencing the performance and the other without. Optimal framework is provided by jointly allocating the blocklength and transmit power of each user for reliability optimization and effective capacity maximization. Simulation results validate the advantages of the proposed approaches compared to existing schemes.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Jianyue Zhu, Yongming Huang, Jiaheng Wang, Keivan Navaie, Zhiguo Ding
Summary: The study proposes a MISO NOMA system assisted by an intelligent reflecting surface, where beamforming vectors and IRS phase shift matrix are optimized to minimize transmission power. An improved quasi-degradation condition using IRS is introduced to ensure NOMA achieves capacity region with high probability. Comparison between NOMA and ZFBF shows NOMA outperforms ZFBF with the same IRS phase shift matrix and improved quasi-degradation condition, motivating the proposed hybrid NOMA transmission. Simulation results demonstrate the proposed IRS-assisted MISO system outperforms the MISO case without IRS, and the hybrid NOMA transmission scheme always achieves better performance than orthogonal multiple access.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2021)
Article
Computer Science, Information Systems
Xuwei Huang, Gaofei Huang
Summary: This article investigates the design of an intelligent reflecting surface (IRS)-assisted mobile-edge computing (MEC) system, which includes a mobile user, an IRS with RF energy harvesting circuits, and a hybrid access point (HAP) connected to an MEC server. The IRS is used to reflect the user's task offloading signals and improve the received power at the HAP. An efficient MEC protocol is proposed to operate in three modes - energy harvesting, IRS-assisted task offloading, and IRS-inactive task offloading - allowing flexible scheduling based on channel conditions, IRS energy states, and user's task queue states. The operation mode selection and resource allocation are optimized under a task execution delay constraint. Simulation results demonstrate up to 80% energy savings compared to existing schemes.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Engineering, Electrical & Electronic
Zheng Chu, Pei Xiao, Mohammad Shojafar, De Mi, Wanming Hao, Jia Shi, Fuhui Zhou
Summary: This paper proposes an intelligent reflecting surface (IRS) assisted wireless powered mobile edge computing and caching (WP-MECC) network. A utility function is formulated to evaluate the overall network performance, and optimal caching strategy and energy consumption coordination are designed. The optimal time scheduling for TDMA or optimal bandwidth allocation for FDMA are derived, and the IRS phase shifts are iteratively designed using quadratic transformation (QT) and Riemannian Manifold Optimization (RMO). Simulation results demonstrate the advantage of the proposed approach over benchmark schemes.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2023)
Article
Computer Science, Theory & Methods
Li-Hsiang Shen, Kai-Ten Feng, Lajos Hanzo
Summary: As the fifth-generation systems are being deployed globally, researchers are already exploring the possibilities of next-generation solutions. This article provides a critical evaluation of various research facets in this field, including next-generation architectures, networking, IoT, wireless positioning and sensing, and the application of deep learning in 6G networks. It highlights the diverse architectures and cooperative networks that are supported by different access and transmission mechanisms. The vulnerabilities of these techniques are also addressed, along with the need for multi-component Pareto optimization.
ACM COMPUTING SURVEYS
(2023)
Article
Engineering, Electrical & Electronic
Yan Lin, Jinming Bao, Yijin Zhang, Jun Li, Feng Shu, Lajos Hanzo
Summary: Proactive edge association improves wireless connectivity but increases handover frequency and energy consumption, requiring private information sharing. To improve the connectivity-cost trade-off without privacy leakage, we investigate privacy-preserving joint edge association and power allocation. We solve this problem using federated multi-agent reinforcement learning, sharing encrypted training data for federative learning. Simulation results show that our solution achieves a compelling trade-off while preserving a higher level of privacy than the state-of-the-art solutions.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Engineering, Electrical & Electronic
Qingchao Li, Mohammed El-Hajjar, Ibrahim Hemadeh, Arman Shojaeifard, Alain A. M. Mourad, Lajos Hanzo
Summary: This paper proposes new reconfigurable intelligent surface (RIS) based amplitude and phase modulation schemes as an evolution of phase-only modulation schemes. The proposed schemes include amplitude-phase shift keying (A-PSK) and quadrature amplitude-phase shift keying (QA-PSK), in which RIS is assumed to be part of the transmitter for information delivery to the multi-antenna aided downlink receiver. The simulations and theoretical analysis show that the proposed RIS-aided modulation schemes outperform the state-of-the-art RIS-based PSK modulation in terms of DCMC capacity and symbol error probability, especially at high SNR region considering realistic finite resolution RIS phase shifts.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Engineering, Electrical & Electronic
Ying Gao, Qingqing Wu, Guangchi Zhang, Wen Chen, Derrick Wing Kwan Ng, Marco Di Renzo
Summary: This paper investigates an active intelligent reflecting surface (IRS)-aided simultaneous wireless information and power transfer (SWIPT) system, which employs an active IRS to assist a multi-antenna access point (AP) in transmitting both information and energy to multiple single-antenna information users (IUs) and energy users (EUs). Two optimization problems are studied to maximize the harvested power at the EUs and the sum-rate of the IUs, respectively. The paper proposes computationally efficient algorithms based on alternating optimization, semidefinite relaxation (SDR), and successive convex approximation (SCA) to obtain suboptimal solutions for the problems.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2023)
Article
Telecommunications
Yu Lei, Yifan Liu, Qingqing Wu, Xiaojun Yuan, Jin Ning, Bin Duo
Summary: This letter discusses an air-ground communication system using multiple intelligent omni-surfaces (IOSs) to assist an unmanned aerial vehicle (UAV) in communicating with multiple users. The goal is to optimize users' scheduling, IOSs' phase shifts, and UAV's trajectory to maximize the minimum average expected achievable rate. The problem is formulated as a mixed-integer non-convex problem with tightly coupled optimization variables, which is difficult to solve optimally. An efficient algorithm based on block coordinate descent (BCD) and successive convex approximation (SCA) methods is proposed to obtain a suboptimal solution. Simulation results demonstrate the superiority of the proposed scheme compared to benchmark schemes.
IEEE COMMUNICATIONS LETTERS
(2023)
Article
Telecommunications
Ying Gao, Qingqing Wu, Wen Chen, Derrick Wing Kwan Ng
Summary: In this letter, a study on the RSMA-based IRS-aided MISO secure communication system is presented. The design problem of jointly optimizing transmit beamforming, IRS beamforming, and secrecy common rate allocation is formulated to maximize the minimum SR among all LUs. The proposed computationally efficient algorithm based on AO technique provides significant improvement in max-min SR compared to benchmark schemes.
IEEE COMMUNICATIONS LETTERS
(2023)
Article
Engineering, Electrical & Electronic
Xinyu Li, Yuanhao Cui, J. Andrew Zhang, Fan Liu, Daqing Zhang, Lajos Hanzo
Summary: This article reviews the integrated sensing and communication (ISAC) technology in the context of human-related sensing. It presents a general ISAC receiver signal processing framework and categorizes human activity recognition (HAR) into different spatial deployments. The article also explores the connection between physical-layer system parameters and HAR performance, and provides experimental results on the sensing potentials of different ISAC systems. Finally, it discusses the technical challenges and identifies open research problems.
IEEE COMMUNICATIONS MAGAZINE
(2023)
Article
Engineering, Electrical & Electronic
Huanchi Wang, Xianbin Wang, He Fang, Lajos Hanzo
Summary: Conventional centralized authentication techniques based on digital cryptography and physical-layer attributes are vulnerable to single-point failure. Decentralized authentication and physical-layer attributes can solve this problem but have unpredictable performance. This paper proposes a decentralized authentication scheme, GALAMC, to achieve a guaranteed authentication level with minimized complexity by using distributed collaboration and available physical-layer attributes. Simulation results show that our scheme maintains the target level of authentication, is more immune to sudden environmental changes, and adaptively minimizes the computational cost.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2023)
Article
Agriculture, Dairy & Animal Science
Xiu-Ling Li, Qingqing Wu, Tengfei Wang, Lingyan Zhang, Xianmeng Wu, Yu Zhang, Wan Liang, Xiaoyong Du, Xiao-Lei Liu, Xiang Zhou, Bang Liu
Summary: We investigated the genetic basis and key genes related to sexual maturity by measuring serum testosterone content and analysing testis tissue sections of Large White (LW) and Tongcheng (TC) boars at an immature age. We identified differentially expressed genes (DEGs) involved in testis development and found that some candidate genes were under positive selection. These findings enhance our understanding of the genetic basis for testicular maturation and have implications for improving boar reproductive traits through molecular breeding.
REPRODUCTION IN DOMESTIC ANIMALS
(2023)
Article
Engineering, Electrical & Electronic
Qihao Peng, Hong Ren, Mianxiong Dong, Maged Elkashlan, Kai-Kit Wong, Lajos Hanzo
Summary: This study focuses on resource allocation for cell-free massive MIMO-aided URLLC systems. Pilot reuse and joint optimization of pilot length and pilot allocation are proposed to maximize the number of admitted devices. The pilot power and transmit power are optimized to satisfy the devices' requirements. Lower bounds of ergodic data rate under finite channel blocklength are derived. A novel pilot assignment algorithm is proposed. The proposed pilot allocation and power allocation strategies show significant performance improvements.
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
(2023)
Article
Computer Science, Hardware & Architecture
Roghayeh Joda, Medhat Elsayed, Hatem Abou-Zeid, Ramy Atawia, Akram Bin Sediq, Gary Boudreau, Melike Erol-Kantarci, Lajos Hanzo
Summary: The Internet of Senses (IoS) enables flawless telepresence-style communication and blurs the difference between virtual and real environments. Through semantic communications and AI/ML, IoS can satisfy its use case requirements, but there are still challenges and open issues.
Article
Engineering, Electrical & Electronic
Natsupa Taengnoi, Kyle R. H. Bottrill, Yang Hong, Lajos Hanzo, Periklis Petropoulos
Summary: We demonstrate U-band Raman amplification in non-zero dispersion shifted fibres using amplified spontaneous emission as a pump for low-noise amplification. We achieve high overall gain of 22 dB over a 3-dB bandwidth of 2.6 THz with noise figures better than 4.3 dB and 5 dB in forward and backward pumped scenarios respectively, in a 40 km-long amplifier configuration. The performance of U-band Raman amplification is also studied through a 285-km point-to-point link, representing the longest-reach single-span U-band transmission demonstrated.
JOURNAL OF LIGHTWAVE TECHNOLOGY
(2023)
Article
Computer Science, Theory & Methods
Chao Wang, Cheng-Cai Wang, Zan Li, Derrick Wing Kwan Ng, Kai-Kit Wong, Naofal Al-Dhahir, Dusit Niyato
Summary: This paper proposes a symbol-level precoding-based scheme for a simultaneously transmitting and reflecting reconfigurable intelligent surfaces (STAR-RIS)-aided dual-functional radar-communications (DFRC) system to secure confidential information transmission and perform target sensing concurrently. The proposed optimization algorithm efficiently solves the nonconvex joint design problem of determining transmission waveform signal and coefficients. Simulation results show the effectiveness and scalability of the STAR-RIS in improving DFRC performance.
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY
(2023)
Article
Engineering, Electrical & Electronic
Zhuojun Tian, Zhaoyang Zhang, Lajos Hanzo
Summary: In this paper, a multi-view compressed sensing problem is addressed, where each sensor has a partial view of a global sparse vector. The goal is to recover the global vector in a decentralized manner. A bilinear optimization problem based on a factored joint sparsity model is proposed, which factors the variables into a node-specific sparse local masking vector and a common sparse global vector. An in-network algorithm using the distributed alternating direction method of multipliers (ADMM) is introduced to reconstruct the vectors and achieve consensus among nodes. The algorithm's convergence is proved theoretically, and extensive simulations demonstrate excellent performance in terms of convergence and recovery accuracy.
IEEE TRANSACTIONS ON SIGNAL PROCESSING
(2023)
Article
Computer Science, Information Systems
Cheng-Xiang Wang, Xiaohu You, Xiqi Gao, Xiuming Zhu, Zixin Li, Chuan Zhang, Haiming Wang, Yongming Huang, Yunfei Chen, Harald Haas, John S. Thompson, Erik G. Larsson, Marco Di Renzo, Wen Tong, Peiying Zhu, Xuemin Shen, H. Vincent Poor, Lajos Hanzo
Summary: 5G has been commercially deployed, providing new services and improved user experiences to users, and offering novel opportunities to various industries. However, it still faces challenges, leading to research on 6G wireless communication systems by international organizations. This paper comprehensively presents the vision, technical requirements, and application scenarios of 6G, critically evaluates its network architecture and key technologies, introduces existing testbeds and advanced verification platforms, and identifies future research directions and open challenges.
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS
(2023)