Minimum Error Pursuit Algorithm for Symbol Detection in MBM Massive-MIMO
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Communications Letters"
DOI: 10.1109/lcomm.2020.3029004
Abstract: Media-based modulation (MBM) with massive multiple-input multiple-output (mMIMO) wireless systems is a viable solution to realize the ever-increasing demand for high-speed data and extensive connectivity in beyond 5G and 6G wireless communications. MBM-mMIMO utilizes less… read more here.
Keywords: error; mbm mmimo; detection; symbol detection ... See more keywords
Semi-Blind Joint Channel Estimation and Symbol Detection for RIS-Empowered Multiuser mmWave Systems
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Communications Letters"
DOI: 10.1109/lcomm.2022.3212083
Abstract: In this letter, we propose a semi-blind joint channel estimation and symbol detection scheme for reconfigurable intelligent surface (RIS)-empowered multiuser millimeter wave (mmWave) systems. Combined with the coding scheme at user equipments (UEs) and RIS… read more here.
Keywords: symbol detection; estimation symbol; channel estimation;
Efficient Motion Symbol Detection and Multikernel Learning for AER Object Recognition
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Cognitive and Developmental Systems"
DOI: 10.1109/tcds.2021.3122131
Abstract: Address event representation (AER) vision sensors process visual information by monitoring changes in light intensity and generating event streams. In this article, a threshold mechanism based on the statistical results of the peak membrane potentials… read more here.
Keywords: multikernel learning; symbol detection; motion symbol;
Reservoir Computing Meets Extreme Learning Machine in Real-Time MIMO-OFDM Receive Processing
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Communications"
DOI: 10.1109/tcomm.2022.3141399
Abstract: In this paper, we consider a real-time deep learning-based symbol detection approach for MIMO-OFDM systems. To exploit the temporal correlation of the wireless channel and the time-frequency structure of OFDM signals, a recurrent neural network… read more here.
Keywords: time; symbol detection; real time; mimo ofdm ... See more keywords
Low-Complexity Near-Optimum Symbol Detection Based on Neural Enhancement of Factor Graphs
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Communications"
DOI: 10.1109/tcomm.2022.3209884
Abstract: We consider the application of the factor graph framework for symbol detection on linear inter-symbol interference channels. Based on the Ungerboeck observation model, a detection algorithm with appealing complexity properties can be derived. However, since… read more here.
Keywords: factor; symbol detection; detection; factor graph ... See more keywords
Probabilistic MIMO Symbol Detection With Expectation Consistency Approximate Inference
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2017.2786638
Abstract: In this paper, we explore low-complexity probabilistic algorithms for soft symbol detection in high-dimensional multiple-input multiple-output (MIMO) systems. We present a novel algorithm based on the expectation consistency (EC) framework, which describes the approximate inference… read more here.
Keywords: approximate inference; symbol detection; expectation consistency; symbol ... See more keywords
Deep Unfolded Sparse Refinement Network Based Detection in Uplink Massive MIMO
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2022.3166399
Abstract: Massive multiple-input multiple-output (mMIMO) is a promising technique to realize the ever-increasing demand for high-speed data, quality of service (QoS), and energy efficiency for 5G and beyond wireless systems. However, the increased number of users… read more here.
Keywords: symbol detection; symbol; network; sparse refinement ... See more keywords
Low Complexity Parallel Symbol Detection for OTFS Modulation
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2022.3227282
Abstract: This article proposes a novel low-complexity parallel message passing (PMP) detection scheme for orthogonal time-frequency space (OTFS) modulation technology. The traditional message passing (MP) scheme is to detect message symbols individually. Due to a large… read more here.
Keywords: symbol detection; otfs modulation; low complexity; detection ... See more keywords
Symbol Detection of Ambient Backscatter Systems With Manchester Coding
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Wireless Communications"
DOI: 10.1109/twc.2018.2819188
Abstract: Ambient backscatter communication is a newly emerged paradigm, which utilizes the ambient radio frequency signal as the carrier to reduce the system battery requirement, and is regarded as a promising solution for enabling large-scale deployment… read more here.
Keywords: backscatter; symbol detection; ambient backscatter; manchester coding ... See more keywords
Learning for Detection: MIMO-OFDM Symbol Detection Through Downlink Pilots
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Wireless Communications"
DOI: 10.1109/twc.2020.2976004
Abstract: In this paper, we introduce a reservoir computing (RC) structure, namely, windowed echo state network (WESN), for multiple-input-multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) symbol detection. We show that adding buffers in input layers is able to… read more here.
Keywords: symbol detection; symbol; mimo ofdm; ofdm symbol ... See more keywords