Articles with "fdd massive" as a keyword



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Deep Learning Based Downlink Channel Covariance Estimation for FDD Massive MIMO Systems

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Published in 2021 at "IEEE Communications Letters"

DOI: 10.1109/lcomm.2021.3075725

Abstract: Obtaining the downlink channel state information in frequency division duplexing (FDD) massive multi-input multi-output (MIMO) systems is challenging due to the overwhelming training and feedback overhead. In this letter, motivated by the existence of mapping… read more here.

Keywords: mimo systems; downlink channel; fdd massive; channel covariance ... See more keywords
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TransNet: Full Attention Network for CSI Feedback in FDD Massive MIMO System

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Published in 2022 at "IEEE Wireless Communications Letters"

DOI: 10.1109/lwc.2022.3149416

Abstract: Channel state information (CSI) is a key aspect of massive multi-input multi-output (MIMO) system. It depicts important properties of transmission channels such as scattering, fading, the attenuation of power with distance, etc. The quality and… read more here.

Keywords: fdd massive; system; mimo system; csi feedback ... See more keywords
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Deep Learning-Based Downlink Channel Estimation for FDD Massive MIMO Systems

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Published in 2023 at "IEEE Wireless Communications Letters"

DOI: 10.1109/lwc.2023.3240512

Abstract: This letter is concerned with the downlink channel estimation in frequency division duplex (FDD) massive multiple-input multiple-output (MIMO) system. With the number of antennas increased, acquiring the downlink channel state information (CSI) becomes complex, thus… read more here.

Keywords: downlink channel; channel estimation; fdd massive; deep learning ... See more keywords
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A Covariance-Based Hybrid Channel Feedback in FDD Massive MIMO Systems

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Published in 2019 at "IEEE Transactions on Communications"

DOI: 10.1109/tcomm.2019.2946815

Abstract: In this paper, a novel covariance-based channel feedback mechanism is investigated for frequency division duplexing (FDD) massive multi-input multi-output (MIMO) systems. The concept capitalizes on the notion of user statistical separability which was hinted in… read more here.

Keywords: mimo systems; fdd massive; channel feedback; covariance ... See more keywords
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Dictionary Learning-Based Sparse Channel Representation and Estimation for FDD Massive MIMO Systems

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Published in 2018 at "IEEE Transactions on Wireless Communications"

DOI: 10.1109/twc.2018.2843786

Abstract: This paper addresses the problem of uplink (UL) and downlink (DL) channel estimation in frequency-division duplexing (FDD) massive multiple-input multiple-output (MIMO) systems. By utilizing the sparse recovery and compressive sensing algorithms, we are able to… read more here.

Keywords: estimation; dictionary learning; channel estimation; fdd massive ... See more keywords
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Improved Downlink Rates for FDD Massive MIMO Systems Through Bayesian Neural Networks-Based Channel Prediction

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Published in 2022 at "IEEE Transactions on Wireless Communications"

DOI: 10.1109/twc.2021.3109908

Abstract: In frequency-division-duplex (FDD) massive MIMO systems, channel state information (CSI) feedback waiting phase does not get fully exploited since base station needs to wait for the CSI feedback before transmitting downlink data. The proportion of… read more here.

Keywords: prediction; fdd massive; massive mimo; channel prediction ... See more keywords
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A Partial Channel Reciprocity-Based Codebook for Wideband FDD Massive MIMO

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Published in 2022 at "IEEE Transactions on Wireless Communications"

DOI: 10.1109/twc.2022.3160498

Abstract: The acquisition of channel state information (CSI) in Frequency Division Duplex (FDD) massive MIMO has been a formidable challenge. In this paper, we address this problem with a novel CSI feedback framework enabled by the… read more here.

Keywords: codebook; reciprocity; fdd massive; massive mimo ... See more keywords
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A Partial Reciprocity-based Channel Prediction Framework for FDD Massive MIMO with High Mobility

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Published in 2022 at "IEEE Transactions on Wireless Communications"

DOI: 10.1109/twc.2022.3178499

Abstract: Massive multiple-input multiple-output (MIMO) is believed to deliver unrepresented spectral efficiency gains for 5G and beyond. However, a practical challenge arises during its commercial deployment, which is known as the “curse of mobility”. The performance… read more here.

Keywords: mobility; fdd massive; framework; massive mimo ... See more keywords
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Downlink Channel Estimation for FDD Massive MIMO Using Conditional Generative Adversarial Networks

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Published in 2023 at "IEEE Transactions on Wireless Communications"

DOI: 10.1109/twc.2022.3191605

Abstract: For implementation of massive multiple-input multiple-output (MIMO) cellular systems in frequency division duplex (FDD) mode, accurate estimation of downlink channel state information (CSI) is necessary, but full radio channel reciprocity between the uplink and downlink… read more here.

Keywords: downlink channel; fdd massive; mimo; massive mimo ... See more keywords
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Machine Learning-Based CSI Feedback With Variable Length in FDD Massive MIMO

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Published in 2022 at "IEEE Transactions on Wireless Communications"

DOI: 10.1109/twc.2022.3215104

Abstract: To fully unlock the benefits of multiple-input multiple-output (MIMO) networks, downlink channel state information (CSI) is required at the base station (BS). In frequency division duplex (FDD) systems, the CSI is acquired through a feedback… read more here.

Keywords: fdd massive; mimo; massive mimo; feedback ... See more keywords
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Performance evaluation of frequency division duplex (FDD) massive multiple input multiple output (MIMO) under different correlation models

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Published in 2022 at "PeerJ Computer Science"

DOI: 10.7717/peerj-cs.1017

Abstract: Massive multiple-input multiple-output (massive-MIMO) is considered as the key technology to meet the huge demands of data rates in the future wireless communications networks. However, for massive-MIMO systems to realize their maximum potential gain, sufficiently… read more here.

Keywords: fdd massive; massive mimo; massive multiple; correlation ... See more keywords