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Article
Engineering, Electrical & Electronic
Khaled B. Letaief et al.
Summary: Researchers proposed the vision of an edge AI system that integrates wireless communication strategies and decentralized machine learning models to enhance the efficiency, effectiveness, privacy, and security of 6G networks. Additionally, standardization, software and hardware platforms, and application scenarios are discussed to facilitate the industrialization and commercialization of edge AI systems.
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
(2022)
Article
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Mingzhe Chen et al.
Summary: This article discusses the challenges of training federated learning algorithms over a realistic wireless network and proposes an optimization model to minimize the FL loss function, providing a method to improve identification accuracy.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2021)
Article
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Hang Liu et al.
Summary: Federated learning is proposed as an attractive substitute for centralized machine learning to exploit massive amounts of data generated at mobile edge networks. However, the straggler issue in over-the-air FL, caused by the heterogeneity of communication capacities among edge devices, remains a challenge despite efforts to alleviate it through device selection.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2021)
Article
Engineering, Electrical & Electronic
Yang Liu et al.
Summary: This paper addresses the weighted sum-power minimization under QoS constraints in the MISO uplink wireless network assisted by IRS, proposing new conditions and solutions and extending them to an online stochastic algorithm for imperfect CSI, with extensive numerical results confirming the effectiveness of the algorithms.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2021)
Article
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Wanli Ni et al.
Summary: This article introduces a novel resource allocation framework for multi-cell intelligent reflecting surface (IRS) aided non-orthogonal multiple access (NOMA) networks. Numerical results demonstrate the significant increase in network sum rate with the use of IRS, higher energy efficiency of proposed algorithms for multi-cell IRS-aided NOMA networks, and the ability to adjust the balance between coverage area and spectrum efficiency by selecting the location of the IRS.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2021)
Article
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Mohammad Mohammadi Amiri et al.
Summary: This study focuses on federated edge learning involving wireless access points and wireless edge devices. A simulated over-the-air aggregation scheme is proposed, and the impact of the number of PS antennas on algorithm performance is studied.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2021)
Proceedings Paper
Computer Science, Information Systems
Wei Hong et al.
Summary: This paper proposes a hybrid federated and centralized learning scheme to balance model accuracy and training cost by utilizing the collected data of user terminals and the computation capability of edge computing servers. Experimental results show that the proposed algorithm can significantly improve model accuracy with low costs.
2021 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS WORKSHOPS (ICC WORKSHOPS)
(2021)
Article
Engineering, Electrical & Electronic
Hancheng Lu et al.
Summary: This paper proposes a novel multi-user NOMA system design for video delivery, considering video distortion and optimizing power allocation to minimize system end-to-end distortion with quality-of-service requirements. An efficient algorithm is designed to solve the non-convex problem, utilizing both monotonic property and decoding order in NOMA. Simulation results demonstrate the advantages of the proposed cross-layer scheme with distortion-aware power allocation algorithms compared to existing NOMA schemes and an OMA scheme.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2021)
Article
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Guangxu Zhu et al.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2020)
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Mohammad Mohammadi Amiri et al.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2020)
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Mohammad Mohammadi Amiri et al.
IEEE TRANSACTIONS ON SIGNAL PROCESSING
(2020)
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Computer Science, Information Systems
Wei Yang Bryan Lim et al.
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS
(2020)
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Computer Science, Information Systems
Mohammad Mohammadi Amiri et al.
2019 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY (ISIT)
(2019)
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Li Chen et al.
IEEE WIRELESS COMMUNICATIONS LETTERS
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Ying Sun et al.
IEEE TRANSACTIONS ON SIGNAL PROCESSING
(2017)
