Search Results - multiple approximate message passing algorithm

Alternative direction for 3D orthogonal frequency division multiplexing massive MIMO FDD channel estimation and feedback by Nasser, Ahmed, Elsabrouty, Maha, Muta, Osamu

“… The proposed algorithm, named AMP-ADM, combines the multiple approximate message passing (M-AMP) algorithm with the alternative direction of multiplier…”
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Time domain turbo equalization based on vector approximate message passing for multiple-input multiple-output underwater acoustic communications by Li, Wei-Zhe, Han, Xiao, Zhu, Guang-Jun, Yin, Jing-Wei

“… The receiver employs the vector approximate message passing (VAMP) algorithm as a soft equalizer in turbo equalization…”
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Analysis and Optimization of Massive Access to the IoT Relying on Multi-Pair Two-Way Massive MIMO Relay Systems by Peng, Zhangjie, Chen, Xianzhe, Xu, Wei, Pan, Cunhua, Wang, Li-Chun, Hanzo, Lajos

“…) relay systems using massive multiple-input multiple-output (MIMO). We utilize the approximate message passing (AMP…”
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Downlink Channel Estimation for Massive MIMO Systems Relying on Vector Approximate Message Passing by Wu, Sheng, Yao, Haipeng, Jiang, Chunxiao, Chen, Xi, Kuang, Linling, Hanzo, Lajos

“…) systems, a sparse recovery algorithm relying on the vector approximate message passing (VAMP) technique is proposed…”
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Approximate Message Passing MIMO Detector With Frequency Domain Initialization for SC-FDMA by Ge, Yingmeng, Tan, Xiaosi, Ji, Zhenhao, Zeng, Yuwei, Zhang, Zaichen, You, Xiaohu, Zhang, Chuan

“… The detailed derivation of LC-AMP algorithm starting from approximate message passing (AMP) is provided. Adaptive nearest-neighbor approximation…”
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Compressive Sensing-Based Adaptive Active User Detection and Channel Estimation: Massive Access Meets Massive MIMO by Ke, Malong, Gao, Zhen, Wu, Yongpeng, Gao, Xiqi, Schober, Robert

“… vector compressive sensing problem. Furthermore, by leveraging the structured sparsity of the uplink channel matrix, we propose an efficient generalized multiple measurement vector approximate message passing (GMMV-AMP…”
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Message Passing Based Calculation of MI and MMSE Matrix for Massive MIMO Systems With Finite-Alphabet Inputs by Yang, Pei, Zou, Qiuyun, Yang, Hongwen

“… In this letter, we propose a new method based on the approximate message passing (AMP) algorithm for estimating the MI and MMSE matrix…”
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Pilot-Based Unsourced Random Access With a Massive MIMO Receiver, Interference Cancellation, and Power Control by Fengler, Alexander, Musa, Osman, Jung, Peter, Caire, Giuseppe

“…We consider the unsourced random access problem on a Rayleigh block-fading AWGN channel with multiple receive antennas…”
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SPARCs for Unsourced Random Access by Fengler, Alexander, Jung, Peter, Caire, Giuseppe

“…-MAC. We propose a modified version of the approximate message passing (AMP) algorithm as an inner decoder and give…”
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Approximate Message Passing-Based Joint User Activity and Data Detection for NOMA by Wei, Chao, Liu, Huaping, Zhang, Zaichen, Dang, Jian, Wu, Liang

“…This letter focuses on joint user activity and data detection in the uplink grant-free non-orthogonal multiple access systems based on approximate message passing (AMP…”
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Compressive Sensing-Based Joint Activity and Data Detection for Grant-Free Massive IoT Access by Mei, Yikun, Gao, Zhen, Wu, Yongpeng, Chen, Wei, Zhang, Jun, Ng, Derrick Wing Kwan, Di Renzo, Marco

“…) compressive sensing problem. Moreover, to leverage the structured sparsity of uplink massive access signals among multiple time slots, we develop two computationally efficient detection algorithms, which are termed…”
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Quasi-Synchronous Random Access for Massive MIMO-Based LEO Satellite Constellations by Ying, Keke, Gao, Zhen, Chen, Sheng, Zhou, Mingyu, Zheng, Dezhi, Chatzinotas, Symeon, Ottersten, Bjorn, Poor, H. Vincent

“…) deployments due to their unique advantage of providing seamless global coverage. In this paper, we investigate the random access problem in massive multiple-input multiple…”
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Community Detection With Contextual Multilayer Networks by Ma, Zongming, Nandy, Sagnik

“… (MMSE) for estimating the common community structure in the balanced two block case using an orchestrated approximate message passing algorithm…”
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Deep learning-based AMP for massive MIMO detection by Yang, Yang, Chen, Shaoping, Gao, Xiqi

“… In this work, we discuss the perspectives of utilizing approximate message passing (AMP) algorithm to the detection of massive MIMO transmission…”
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Joint Near Field Uplink Communication and Localization Using Message Passing-Based Sparse Bayesian Learning by Liu, Fei, Yuan, Zhengdao, Guo, Qinghua, Zhang, Yuanyuan, Wang, Zhongyong, Zhang, J. Andrew

“… To solve the problem, we develop a message passing based sparse Bayesian learning (SBL) algorithm, where multiple unitary approximate message passing (UAMP…”
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Efficient High-Dimensional Inference in the Multiple Measurement Vector Problem by Ziniel, J., Schniter, P.

“…In this work, a Bayesian approximate message passing algorithm is proposed for solving the multiple measurement vector (MMV…”
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Bayesian Learning for Double-RIS Aided ISAC Systems With Superimposed Pilots and Data by Gan, Xu, Huang, Chongwen, Yang, Zhaohui, Zhong, Caijun, Chen, Xiaoming, Zhang, Zhaoyang, Guo, Qinghua, Yuen, Chau, Debbah, Merouane

“…Reconfigurable intelligent surface (RIS) has great potential to improve the performance of integrated sensing and communication (ISAC) systems, especially in…”
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Multi-Cell Sparse Activity Detection for Massive Random Access: Massive MIMO Versus Cooperative MIMO by Chen, Zhilin, Sohrabi, Foad, Yu, Wei

“…This paper considers sparse device activity detection for cellular machine-type communications with non-orthogonal signatures using the approximate message passing algorithm…”
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Deep Learning Based Trainable Approximate Message Passing for Massive MIMO Detection by Zheng, Peicong, Zeng, Yuan, Liu, Zhenrong, Gong, Yi

“…In this paper, we present a deep learning based trainable approximate message passing algorithm (TAMP…”
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Activity Detection in Distributed MIMO: Distributed AMP via Likelihood Ratio Fusion by Bai, Jianan, Larsson, Erik G.

“…). The algorithm is a distributed version of the approximate message passing (AMP) based on a soft combination of likelihood ratios computed independently at multiple access points…”
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