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Editorial Material
Telecommunications
Pavlos S. Bouzinis et al.
Summary: Conventional machine learning techniques are centralized, but the emergence of Wireless Federated Learning (WFL) offers a promising decentralized solution due to the massive wireless data, privacy concerns, and increasing computing capabilities of wireless end-devices. This article presents the application of WFL in the sixth generation of wireless networks (6G) and discusses the challenges and future directions in the wireless environment.
IEEE COMMUNICATIONS LETTERS
(2022)
Article
Engineering, Electrical & Electronic
Xiaowen Cao et al.
Summary: Over-the-air computation (AirComp) is a technique that integrates communication and computation to improve communication efficiency. This paper studies the use of AirComp for model-update aggregation in federated edge learning and proposes a transmission power control method to combat aggregation errors, resulting in improved training accuracy and speed.
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
(2022)
Article
Engineering, Electrical & Electronic
Zhibin Wang et al.
Summary: This paper proposes a method that leverages intelligent reflecting surface (IRS) for model aggregation to enhance the performance of federated learning (FL). Through optimizing device selection and beamforming design, the study achieved higher FL prediction accuracy.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2022)
Article
Engineering, Electrical & Electronic
Xiaobo Zhou et al.
Summary: This paper examines the performance gain achieved by deploying an intelligent reflecting surface (IRS) in covert communications. By jointly designing the transmit power and the IRS reflection coefficients, considering both global channel state information (CSI) and without a warden's instantaneous CSI, we demonstrate that perfect covertness is achievable with the aid of the IRS even for a single-antenna transmitter. We propose a penalty successive convex approximation (PSCA) algorithm and a low-complexity two-stage algorithm to tackle the design problem. The results show that significant performance gain can be achieved by deploying an IRS into covert communications.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2022)
Article
Computer Science, Information Systems
Xin Chen et al.
Summary: This letter investigates the MIMO covert communication system assisted by intelligent reflecting surface (IRS) against a multi-antenna warden. An optimization algorithm is proposed to jointly optimize the transmit covariance matrix at transmitter and phase shift matrix at IRS to maximize covert rate. Simulation results demonstrate the effectiveness and superiority of the proposed algorithm in terms of boosting covert rate under the surveillance of a multi-antenna warden.
IEEE WIRELESS COMMUNICATIONS LETTERS
(2022)
Article
Engineering, Electrical & Electronic
Lu Lv et al.
Summary: This paper investigates covert communication in an intelligent reflecting surface-assisted non-orthogonal multiple access system. New downlink and uplink NOMA schemes are proposed to hide the existence of a covert user by exploiting the phase-shift uncertainty of the intelligent reflecting surface and the non-orthogonal signal transmission of another user. The covert communication performance can be enhanced by jointly optimizing the transmit power and the intelligent reflecting surface reflect beamforming.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2022)
Article
Computer Science, Information Systems
Xiongfei Zhai et al.
Summary: This article introduces a mixed-timescale penalty-dual-decomposition (MTPDD) algorithm that optimizes the transmit power, receive beamforming vector, and passive beamforming matrix of reconfigurable intelligent surfaces (RISs) to enhance the reception quality and computational performance of over-the-air computation (AirComp). The algorithm aims to reduce signaling overhead and minimize the computation mean-squared error (MSE) over time.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Information Systems
Wanli Ni et al.
Summary: This article investigates the use of multiple reconfigurable intelligent surfaces (RISs) to address the problem of model aggregation in federated learning systems. The seamless integration of communication and computation is achieved through over-the-air computation (AirComp), and the mean-square error (MSE) and device set in the model uploading process are optimized to improve the accuracy and convergence rate of federated learning.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Engineering, Electrical & Electronic
Piao Zeng et al.
Summary: This paper investigates the joint beamforming design for the intelligent reflecting surface (IRS) aided multi-antenna multiuser (MU) multiple-input multiple-output (MIMO) downlink transmissions under imperfect channel state information (CSI). Simulation results validate the accuracy of the proposed robust design and reveal that the intelligent reflecting surface can still achieve a significant improvement in performance even with imperfect CSI.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2022)
Article
Engineering, Electrical & Electronic
A. Lee Swindlehurst et al.
Summary: This article examines channel estimation for passive RIS-based systems from a fundamental viewpoint, considering various scenarios and channel models, and conducts algorithm simulations and performance comparisons.
PROCEEDINGS OF THE IEEE
(2022)
Article
Computer Science, Information Systems
Zhibin Wang et al.
Summary: This article proposes to use intelligent reflecting surface (IRS) to enhance the efficiency of AirComp and EB in IoT networks. By jointly designing aggregation beamformers and IRS phase-shift matrices to minimize the mean-squared error (MSE), the proposed algorithm can significantly reduce the distortion of AirComp.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Engineering, Electrical & Electronic
Guangxu Zhu et al.
Summary: Federated edge learning (FEEL) is a framework for training models at edge servers using data from edge devices, with recent efforts focusing on a digital aggregation scheme to overcome communication bottlenecks. Analysis indicates that wireless channel hostilities can slow down the convergence rate of the learning process, but these negative effects diminish with an increase in the number of participating devices.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2021)
Article
Engineering, Electrical & Electronic
Jiangbo Si et al.
Summary: The study focuses on covert transmission in an intelligent reflecting surface (IRS) aided communication system, optimizing transmission power and phase shift to maximize covert transmission rate. Various algorithms are proposed to solve the optimization problem and simulations are performed to verify the results. The numerical results indicate that IRS can degrade the covert transmission rate when the warden is closer to the IRS than the intended receiver.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2021)
Article
Engineering, Electrical & Electronic
Chao Wang et al.
Summary: This article investigates the use of intelligent reflecting surfaces (IRS) to assist in multi-antenna covert communications, optimizing beamforming vectors and the passive phase shifts of the IRS to maximize covert rate while meeting constraints of successful detection probability at Willie and communication outage for Bob. Simulation results validate the proposed iterative algorithm's effectiveness and demonstrate the significant potential of IRS for covert communications.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2021)
Proceedings Paper
Computer Science, Theory & Methods
Wanli Ni et al.
Summary: This paper proposes a novel RIS-unified network to maximize the achievable hybrid rate of all users by adjusting the signal processing order of hybrid users. The formulated resource allocation problem is solved using alternating optimization, showing that the network efficiently supports communication and computation.
IEEE CONFERENCE ON COMPUTER COMMUNICATIONS WORKSHOPS (IEEE INFOCOM WKSHPS 2021)
(2021)
Proceedings Paper
Acoustics
Burak Hasircioglu et al.
Summary: In conventional federated learning, differential privacy guarantees can be achieved by adding noise to local model updates, while in wireless FL, privacy can be enhanced by leveraging over-the-air computation and anonymizing transmitting devices. Over-the-air computation allows devices to transmit model updates simultaneously and uncoded, making more efficient use of spectrum, as well as providing anonymity for transmitting devices. This approach improves private wireless FL performance by reducing the necessary noise injection.
2021 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP 2021)
(2021)
Proceedings Paper
Computer Science, Theory & Methods
Matthias Frey et al.
Summary: The proposed method uses a friendly jammer to protect over-the-air computation schemes from passive eavesdropping, with the key ingredients being channel resolvability and coding for compound channels. This method is effective for a large class of analog OTA computation schemes and includes two examples within this class.
2021 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY (ISIT)
(2021)
Article
Engineering, Electrical & Electronic
Qingqing Wu et al.
IEEE COMMUNICATIONS MAGAZINE
(2020)
Article
Engineering, Electrical & Electronic
Kai Yang et al.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2020)
Article
Engineering, Electrical & Electronic
Solmaz Niknam et al.
IEEE COMMUNICATIONS MAGAZINE
(2020)
Article
Engineering, Electrical & Electronic
Wanchun Liu et al.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2020)
Article
Computer Science, Hardware & Architecture
Xiao Lu et al.
Article
Computer Science, Hardware & Architecture
Kai Yang et al.
Proceedings Paper
Computer Science, Artificial Intelligence
Yusuke Koda et al.
2020 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM)
(2020)
Article
Engineering, Electrical & Electronic
Zhaorui Wang et al.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2020)
Article
Computer Science, Information Systems
Wei Yang Bryan Lim et al.
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS
(2020)
Article
Computer Science, Theory & Methods
Shihao Yan et al.
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY
(2019)
Article
Computer Science, Information Systems
Keerthi Suria Kumar Arumugam et al.
IEEE TRANSACTIONS ON INFORMATION THEORY
(2019)
Article
Computer Science, Information Systems
Guangxu Zhu et al.
IEEE INTERNET OF THINGS JOURNAL
(2019)
Article
Computer Science, Information Systems
Miao Cui et al.
IEEE WIRELESS COMMUNICATIONS LETTERS
(2019)
Article
Computer Science, Information Systems
Dong Wang et al.
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS
(2019)
Article
Computer Science, Information Systems
Abdelmohsen Ali et al.
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS
(2017)
Article
Engineering, Electrical & Electronic
Yuanming Shi et al.
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
(2016)
Article
Engineering, Electrical & Electronic
Kanapathippillai Cumanan et al.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2014)
Article
Engineering, Electrical & Electronic
Boulat A. Bash et al.
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
(2013)
Article
Engineering, Electrical & Electronic
Zhi-Quan Luo et al.
IEEE SIGNAL PROCESSING MAGAZINE
(2010)
Article
Operations Research & Management Science
Yongwei Huang et al.
MATHEMATICS OF OPERATIONS RESEARCH
(2007)
