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Article
Engineering, Electrical & Electronic
Jiancheng An et al.
Summary: This paper proposes a low-complexity channel estimation and passive beamforming design for enhancing the capacity of RIS-assisted communication systems. The proposed scheme partitions the channel training stage into several phases, pre-designs RIS reflection coefficients, estimates the effective superposed channel, and performs beamforming optimization to maximize the achievable rate.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2022)
Article
Computer Science, Information Systems
Wenwu Xie et al.
Summary: In this paper, a deep compressed sensing-based channel estimation scheme is proposed using U-Net and ResU-Net structures to recover the high-dimensional cascaded channel matrix from limited pilot overhead. The results show that ResU-Net achieves more accurate channel estimation compared to conventional algorithms and other network models, while maintaining good generalization and robustness.
IEEE WIRELESS COMMUNICATIONS LETTERS
(2022)
Article
Engineering, Electrical & Electronic
Weicong Chen et al.
Summary: In this study, we investigate the issue of limited channel feedback in frequency division duplexing systems. We propose a novel cascaded codebook and an adaptive bit partitioning strategy to address this issue. Through the use of the cascaded codebook and optimized feedback bit allocation, the rate loss in ergodic transmission can be reduced, resulting in improved system efficiency.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2022)
Article
Engineering, Electrical & Electronic
Junghoon Kim et al.
Summary: Intelligent reflecting surfaces (IRS) can change the wireless propagation environment by adjusting their reflection coefficients, but conventional optimization-based IRS control protocols are not applicable in practical settings. Therefore, we propose an adaptive codebook-based limited feedback protocol and develop several augmented schemes, which have been shown to significantly improve the data rate.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2022)
Article
Computer Science, Information Systems
Wencai Yan et al.
Summary: This letter investigates an intelligent reflecting surface (IRS)-assisted millimeter-wave multiple-input single-output downlink wireless communication system. A low-complexity machine learning-based cross-entropy (CE) algorithm is proposed to alternately optimize the active and passive beamforming. The near optimal reflection coefficients are obtained by random sampling and distribution focusing, and the effectiveness of the algorithms is enhanced by extending the original one-bit phase shift to high-resolution phase shift at the IRS.
IEEE WIRELESS COMMUNICATIONS LETTERS
(2022)
Article
Engineering, Electrical & Electronic
Huayan Guo et al.
Summary: This paper investigates the uplink cascaded channel estimation for intelligent-reflecting-surface (IRS)-assisted multi-user multiple-input-single-output systems. A novel channel estimation protocol is proposed to reduce pilot overhead and an optimization-based joint channel estimation problem is formulated to address the difficulty of estimation. Low-complexity optimization algorithms and a new formulation for training phase shifting configuration are designed to achieve better estimation accuracy. Simulation results show the superiority of the proposed algorithm compared to state-of-the-art schemes.
IEEE TRANSACTIONS ON SIGNAL PROCESSING
(2022)
Article
Telecommunications
Jiancheng An et al.
Summary: In this paper, a novel channel training-based protocol is proposed for reconfigurable intelligent surface (RIS)-assisted systems. The protocol strikes a flexible trade-off between performance, pilot overhead, and complexity by integrating channel estimation and passive beamforming optimization. The protocol shows competitive advantages over the channel estimation-based protocol in the presence of channel estimation errors.
IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING
(2022)
Article
Engineering, Electrical & Electronic
Shunbo Zhang et al.
Summary: The reconfigurable intelligent surface (RIS) technology enables high data rates and wide coverage in future wireless networks by cleverly reflecting signals with adjustable phase shifts. However, accurately acquiring individual channel state information at RIS is a challenge due to its passive mode. This paper proposes an active antenna selection network based on probabilistic sampling theory, and designs two deep learning-based schemes for channel extrapolation and beam searching. Simulation results demonstrate the superiority of optimal antenna selection over uniform selection, and the stability of beam searching compared to channel extrapolation with fewer active antennas.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2021)
Article
Computer Science, Hardware & Architecture
Wankai Tang et al.
Summary: This article discusses the issue of channel reciprocity in RIS-assisted TDD wireless networks, showing that channel reciprocity still exists under certain conditions and introducing several methods to realize non-reciprocal channels.
IEEE WIRELESS COMMUNICATIONS
(2021)
Article
Engineering, Electrical & Electronic
Hongyu Li et al.
Summary: The study investigates a practical IRS reflection model for wideband signals and jointly designs the transmit beamformer and IRS reflection in a MU-MISO-OFDM system to maximize the average sum-rate over all subcarriers. By using the block coordinate descent (BCD) method, the equivalent multi-block/variable problem is efficiently solved.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2021)
Article
Computer Science, Information Systems
Jiancheng An et al.
Summary: A low-complexity channel estimation and passive beamforming design for IRS-assisted MISO systems is proposed in this study. The framework simplifies IRS reflection optimization by pre-designing a training set and performing effective superposition channel estimation. The theoretical performance analysis and optimal training overhead are provided, with numerical simulations demonstrating competitive rate performance in practical communication systems.
IEEE WIRELESS COMMUNICATIONS LETTERS
(2021)
Article
Engineering, Electrical & Electronic
Changsheng You et al.
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
(2020)
Article
Engineering, Electrical & Electronic
Yu Han et al.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2019)
Article
Engineering, Electrical & Electronic
Chongwen Huang et al.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2019)
Article
Engineering, Electrical & Electronic
Qingqing Wu et al.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2019)
