Article
Computer Science, Hardware & Architecture
Bodong Shang, Rubayet Shafin, Lingjia Liu
Summary: This study introduces the use of a UAV swarm-enabled reconfigurable intelligent surface (SARIS), which has advantages over traditional terrestrial and aerial RIS and offers new applications in wireless networks, but faces design challenges that need to be addressed.
IEEE WIRELESS COMMUNICATIONS
(2021)
Article
Engineering, Electrical & Electronic
Qi Wang, Xiaoming Chen, Qiao Qi
Summary: This paper investigates the issue of integrated communication and computation for multiple time-sensitive computation-intensive user equipments (UEs) in edge-intelligent networks. It proposes a task-driven robust design algorithm to mitigate uncertainties and guarantee user fairness. The algorithm optimizes transmit power, receive beamforming, and computing resources based on task types, with the objective of minimizing the maximum system delay among all UEs.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Yingyang Chen, Miaowen Wen, Ertugrul Basar, Yik-Chung Wu, Li Wang, Weiping Liu
Summary: In this paper, a new RIS-aided edge caching system is proposed to optimize content placement at cache units, active beamforming at base station and passive phase shifting at RIS, aiming to decrease the network cost by improving the quality of offloading links.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2021)
Article
Computer Science, Information Systems
Yuhan Yang, Yong Zhou, Youlong Wu, Yuanming Shi
Summary: Federated learning (FL) is a disruptive ML paradigm that enables collaborative training of a global model without sharing local data. This article proposes an over-the-air FL system empowered by reconfigurable intelligent surfaces (RIS) to balance learning accuracy and privacy. By utilizing RIS's channel reconfigurability and waveform superposition property with AirComp, the system enhances signal power and enables fast model aggregation. The convergence behavior of the differentially private federated optimization algorithm is characterized, and a system optimization problem is formulated to optimize learning accuracy while satisfying privacy and power constraints.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Information Systems
Yuanwei Liu, Xiao Liu, Xidong Mu, Tianwei Hou, Jiaqi Xu, Marco Di Renzo, Naofal Al-Dhahir
Summary: Reconfigurable intelligent surfaces, also known as intelligent reflecting surfaces or large intelligent surfaces, have attracted significant attention for their potential to enhance wireless networks by smartly reconfiguring the propagation environment. Research in this field covers operating principles, performance evaluation, beamforming design, resource management, machine learning applications, and integration with other emerging technologies for next-generation networks.
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS
(2021)
Article
Engineering, Electrical & Electronic
Yiliang Liu, Zhou Su, Chi Zhang, Hsiao-Hwa Chen
Summary: This article investigates physical layer security (PLS) in reconfigurable intelligent surface (RIS)-assisted multiple-input multiple-output multiple-antenna-eavesdropper (MIMOME) channels. Existing researches ignore the problem that secrecy rate can not be calculated if the eavesdropper's instantaneous channel state information (CSI) is unknown. Furthermore, without the secrecy rate expression, beamforming and phase shifter optimization with the purpose of PLS enhancement is not available. It is demonstrated that the secrecy outage probability is significantly reduced with the proposed methods compared to current RIS-assisted PLS systems.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Jie Huang, Cheng-Xiang Wang, Yingzhuo Sun, Rui Feng, Jialing Huang, Bolun Guo, Zhimeng Zhong, Tie Jun Cui
Summary: This article addresses the channel characterization and modeling issues of reconfigurable intelligent surfaces (RISs) in wireless communication systems. It provides an overview of RIS-based channel measurements and experiments, studies RIS-based channel characteristics, and investigates RIS-based channel modeling works. Future research directions related to RIS-assisted channels are also discussed.
PROCEEDINGS OF THE IEEE
(2022)
Article
Engineering, Electrical & Electronic
Emil Bjornson, Henk Wymeersch, Bho Matthiesen, Petar Popovski, Luca Sanguinetti, Elisabeth de Carvalho
Summary: Antenna array technology enables the directional transmission and reception of wireless signals, with signal processing algorithms playing a crucial role. It is widely used in communication and localization applications.
IEEE SIGNAL PROCESSING MAGAZINE
(2022)
Article
Engineering, Electrical & Electronic
Xiao Tang, Dawei Wang, Ruonan Zhang, Zheng Chu, Zhu Han
Summary: The correspondence highlights the potential of reconfigurable intelligent surface (RIS) in anti-jamming communications, focusing on an aerial RIS (ARIS) deployed in the air to mitigate jamming attacks and enhance legitimate transmissions. Through joint optimization of ARIS deployment and passive beamforming, the problem is solved using an alternating optimization framework, with simulation results demonstrating the effectiveness of ARIS in mitigating jamming attacks.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2021)
Article
Engineering, Electrical & Electronic
Sai Xu, Yanan Du, Jiajia Liu, Jingtao Li
Summary: This paper investigates the computational task offloading of an energy-constrained mobile edge computing network using intelligent reflecting surface based backscatter communication. By optimizing various parameters, the sum computational bits can be maximized. Additionally, element clustering is proposed to reduce control and computation complexity.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2022)
Article
Computer Science, Information Systems
Shayan Zargari, Chintha Tellambura, Sanjeewa Herath
Summary: In this study, a wireless power transfer (WPT)-based backscatter-mobile edge computing (MEC) network with a reconfigurable intelligent surface (RIS) is investigated. The network allows wireless devices (WDs) to offload task bits and harvest energy, and switch between backscatter communication (BC) and active transmission (AT) modes. By optimizing various parameters and utilizing the RIS, the energy efficiency (EE) is maximized. The results show significant improvements in system throughput and energy consumption compared to benchmark schemes, with an example of achieving 150% improvement in EE using a 20-element RIS.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2023)
Article
Computer Science, Hardware & Architecture
Yulan Gao, Yue Xiao, Xianfu Lei, Qiaonan Zhu, Dusit Niyato, Kai-Kit Wong, Pingzhi Fan, Rose Qingyang Hu
Summary: By introducing pricing models, a win-win solution can be achieved for wireless service providers and RIS holders in RIS-aided wireless networks.
Review
Computer Science, Information Systems
Hengli Jin, Mark A. Gregory, Shuo Li
Summary: Multi-Access Edge Computing (MEC) is a standardized architecture that enables cloud computing capabilities at the edge of heterogeneous networks. This article provides a comprehensive review of intelligent computation offloading with critical issues, metrics and future directions.
Article
Computer Science, Hardware & Architecture
Xianfu Lei, Mingjiang Wu, Fuhui Zhou, Xiaohu Tang, Rose Qingyang Hu, Pingzhi Fan
Summary: This article provides a comprehensive review of the RIS-based SR system, including its technical advantages, application scenarios, and a proposed modulation scheme to enhance performance. The content covers system architectures, operating principles, performance simulations, and future research directions for implementing RIS-based SR.
IEEE WIRELESS COMMUNICATIONS
(2021)
Article
Engineering, Electrical & Electronic
Jingyi Li, Sai Xu, Jiajia Liu, Yurui Cao, Wei Gao
Summary: The revolutionary RIS technology can improve propagation environments and enhance the security of private information. Research on secure communication enhanced by RIS is mainly focused on terrestrial networks, with the application in complex urban environments needing further exploration.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2021)
Article
Engineering, Electrical & Electronic
Wenyu Zhang, Haijun Zhang, Hui Ma, Hua Shao, Ning Wang, Victor C. M. Leung
Summary: This paper proposes a predictive and adaptive deep coding (PADC) framework that achieves flexible code rate optimization with a given target transmission quality requirement. By using a variable code length enabled DeepJSCC model, an Oracle Network model, and a CR optimizer, PADC can minimize bandwidth consumption while guaranteeing the PSNR constraint for each image data in wireless image transmission tasks.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2023)
Article
Biochemical Research Methods
Yang-Han Wu, Yu-An Huang, Jian-Qiang Li, Zhu-Hong You, Peng-Wei Hu, Lun Hu, Victor C. M. Leung, Zhi-Hua Du
Summary: The interaction between transcription factors and target genes is a vital part of the human gene regulation network. However, many of these interactions have unconfirmed types. This research presents a graph-based prediction model called KGE-TGI, trained on a specially constructed knowledge graph, that relies on topology information rather than gene expression data. The proposed method achieved high AUC values in link prediction and link type classification tasks, outperforming existing methods and demonstrating the importance of incorporating knowledge information.
PLOS COMPUTATIONAL BIOLOGY
(2023)
Article
Computer Science, Information Systems
Sun Mao, Lei Liu, Ning Zhang, Jie Hu, Kun Yang, Mianxiong Dong, Kaoru Ota
Summary: This article investigates the joint phase beamforming design and resource management for intelligent reflecting surface (IRS)-assisted full-duplex wireless-powered communication networks (FD-WPCNs). An alternating optimization method is developed to obtain the optimal solution by solving two subproblems iteratively. Numerical results show the performance of the proposed method and the benefits introduced by the IRS technique compared to benchmark methods.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Computer Science, Information Systems
Yang Xiao, Chengjia Yan, Shuo Lyu, Qingqi Pei, Ximeng Liu, Ning Zhang, Mianxiong Dong
Summary: With the development of IoT, the use of IoT devices has increased, resulting in the generation of large volumes of image data for tracing and recording user behavior. Deep neural networks (DNNs) have become popular for accurately analyzing this data and improving user experience. However, DNN models are vulnerable to adversarial attacks, which poses a risk to practical applications. This study proposes a defense approach called Defed that incorporates edge feature information into a denoised network to defend against adversarial attacks in image area.
IEEE INTERNET OF THINGS JOURNAL
(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
Engineering, Civil
Momiao Zhou, Lei Liu, Yanshi Sun, Kan Wang, Mianxiong Dong, Mohammed Atiquzzaman, Schahram Dustdar
Summary: The aim of this paper is to present a groundwork on the delay-minimized routing problem in a vehicular ad-hoc network (VANET) where some of the vehicles are equipped with full-duplex (FD) radios. Two routing methods, namely graph-based method and deep reinforcement learning (DRL)-based method, are proposed. The graph-based method achieves the exact minimum end-to-end delay, while the DRL-based method is more feasible and achieves near minimum end-to-end delay with proper hyper-parameters.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Jingwei Liu, Chuntian Peng, Rong Sun, Lei Liu, Ning Zhang, Schahram Dustdar, Victor C. M. Leung
Summary: As a representative application scenario of the Internet of Things (IoT), Internet of Vehicles (IoV) plays an important role in intelligent transportation. However, the data traffic exchanged in IoV is vulnerable to privacy leakage. To address this issue, a conditional privacy-preserving authentication scheme with hierarchical pseudonyms (CPAHP), based on elliptic curve Diffie-Hellman (ECDH) problem, is proposed for 5G-enabled IoV. The scheme ensures protection of real identities and movement tracks of vehicles while allowing recovery of malicious vehicles' identities through corresponding pseudonyms. Furthermore, blockchain technology is introduced to facilitate smooth sharing of traffic information among vehicles. The scheme not only meets security requirements but also provides higher computational efficiency.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Engineering, Electrical & Electronic
Yueqiang Xu, Heli Zhang, Xi Li, F. Richard Yu, Victor C. M. Leung, Hong Ji
Summary: This paper presents a trusted collaboration framework for managing video buffering in VR devices in a distributed environment. By collaboratively processing rendering tasks and using a trust evaluation method for collaborator selection, an optimization problem is solved through joint optimization. Simulation results show that this approach achieves good performance.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Engineering, Electrical & Electronic
Yuhang Wang, Ying He, F. Richard Yu, Qiuzhen Lin, Victor C. M. Leung
Summary: With the rapid development of intelligent transportation systems, there is an increasing demand for low-latency and high-bandwidth vehicular services. This paper uses multiple UAVs as a supplement to ground networks to relieve communication pressure and models the scenario as a collaborative multi-agent system. The proposed method considers vehicle safety as a priority and uses multi-agent reinforcement learning and attention mechanism to optimize resource allocation.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2023)
Article
Computer Science, Artificial Intelligence
Lijia Ma, Zengyang Shao, Xiaocong Li, Qiuzhen Lin, Jianqiang Li, Victor C. M. Leung, Asoke K. Nandi
Summary: This article proposes an evolutionary deep reinforcement learning algorithm called EDRL-IM for influence maximization in complex networks. By combining evolutionary algorithm and deep reinforcement learning algorithm, EDRL-IM outperforms state-of-the-art methods in finding seed nodes.
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE
(2023)
Article
Computer Science, Information Systems
Jin Zhang, Yuyan Dai, Jie Chen, Chengwen Luo, Bo Wei, Victor C. M. Leung, Jianqiang Li
Summary: This paper proposes SIDA, a self-supervised imbalanced domain adaptation framework, for sound enhancement and WiFi sensing, which serves as a generic time series domain adaptation solution for IoT systems. SIDA enhances lung sounds and performs human sensing by separately learning the representation and mapping relations of time series signals in minority and majority domains. Experimental results demonstrate that SIDA achieves significant improvements on imbalanced datasets.
PROCEEDINGS OF THE ACM ON INTERACTIVE MOBILE WEARABLE AND UBIQUITOUS TECHNOLOGIES-IMWUT
(2023)
Article
Computer Science, Cybernetics
Ye Wang, Yingmin Zhou, Mengzhu Wang, Zhenghan Chen, Zhiping Cai, Junyang Chen, Victor C. M. Leung
Summary: Multidocument aspect-based summarization aims to generate focused summaries based on target aspects from relevant documents. A two-stage framework is proposed that first discovers the latent relationship among aspects and then uses relevant sentences to generate abstractive summaries. The model utilizes tag mask training strategy to exploit latent dependencies among aspects and improve the interpretability of the model. Experimental results show accurate aspect discovery and improvements in summarization compared to strong baselines.
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Adebola Olutayo, Yanjie Dong, Julian Cheng, Jonathan F. Holzman, Victor C. M. Leung
Summary: This study analyzes the performance of wireless powered wireless systems, where wireless devices scavenge energy from downlink sources and use it for communication in the uplink. Two new models are proposed to account for the nonlinear circuitry of energy harvesters and their functioning over multiple line-of-sight and non-line-of-sight channels. The Beaulieu-Xie fading model is introduced to characterize the diversity of these channels. Performance analyses demonstrate a good fit between the proposed models and measured data, with respect to average harvested energy and transmission outage probability.
IEEE OPEN JOURNAL OF THE COMMUNICATIONS SOCIETY
(2023)
Article
Engineering, Multidisciplinary
Ge Fan, Chaoyun Zhang, Junyang Chen, Paul Li, Yingjie Li, Victor C. M. Leung
Summary: Existing recommendation methods that train independent modules for each rating information may lead to sub-optimal results due to the lack of collaborative learning. We propose a collective model that can learn each sub-score simultaneously to predict users' overall rating, reducing the dependence on specific criterion and improving prediction quality. Experimental results show up to 13.14% lower prediction error compared to baseline approaches.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2023)
