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   Articles with "user detection" as a keyword



Active User Detection and Channel Estimation for Massive Machine-Type Communication: Deep Learning Approach

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recommendations! Published in 2022 at "IEEE Internet of Things Journal"

DOI: 10.1109/jiot.2021.3132329

Abstract: Recently, massive machine-type communications (mMTCs) have become one of key use cases for 5G. In order to support massive users transmitting small data packets at low rates, grant-free (GF) access and nonorthogonal multiple access (NOMA)… read more here.

Keywords: machine type; active user; massive machine; channel estimation ... See more keywords

Quantum Minimum Searching Algorithms for Active User Detection in Wireless IoT Networks

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recommendations! Published in 2024 at "IEEE Internet of Things Journal"

DOI: 10.1109/jiot.2024.3382337

Abstract: The key features of 5G, such as ultrareliable low latency (URLLC) and massive machine-type communication (mMTC), are designed to address the need for low latency and the ability to connect a large number of devices… read more here.

Keywords: active user; quantum minimum; user detection; minimum searching ... See more keywords

Efficient Multi-User Detection for Uplink Grant-Free NOMA: Prior-Information Aided Adaptive Compressive Sensing Perspective

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recommendations! Published in 2017 at "IEEE Journal on Selected Areas in Communications"

DOI: 10.1109/jsac.2017.2726279

Abstract: Non-orthogonal multiple access (NOMA) is an emerging research topic in the future fifth generation wireless communication networks, which is expected to support massive connectivity for massive machine-type communications (mMTC). Due to the sporadic communication nature… read more here.

Keywords: detection; information; user detection; multi user ... See more keywords

Multi-User Detection Using ADMM-Based Compressive Sensing for Uplink Grant-Free NOMA

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recommendations! Published in 2018 at "IEEE Wireless Communications Letters"

DOI: 10.1109/lwc.2017.2752165

Abstract: Non-orthogonal multiple access (NOMA) is considered a primary candidate addressing the challenge of massive connectivity in fifth generation wireless communication systems. In this letter, we propose a low-complexity NOMA mechanism with efficient multi-user detection (MUD)… read more here.

Keywords: multi user; noma; user detection; detection using ... See more keywords
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Sparse Multi-User Detection With Imperfect Channel Estimation for NOMA Systems Under Non-Gaussian Noise

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recommendations! Published in 2021 at "IEEE Wireless Communications Letters"

DOI: 10.1109/lwc.2020.3025771

Abstract: Non-orthogonal multiple access (NOMA) is a promising technology in future wireless communication and multi-user detection (MUD) is the key problem in NOMA system to eliminate inter-user signal interference. Due to the existence of noise and… read more here.

Keywords: user detection; channel estimation; noise; multi user ... See more keywords

Performance Analysis of Joint Active User Detection and Channel Estimation for Massive Connectivity

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recommendations! Published in 2022 at "IEEE Transactions on Signal Processing"

DOI: 10.1109/tsp.2022.3185844

Abstract: This paper considers joint active user detection (AUD) and channel estimation (CE) for massive connectivity scenarios with sporadic traffic. The state-of-art method under a Bayesian framework to perform joint AUD and CE in such scenarios… read more here.

Keywords: active user; user detection; analysis; joint active ... See more keywords

Asynchronous Multi-User Detection for Code-Domain NOMA: Expectation Propagation Over 3D Factor-Graph

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recommendations! Published in 2022 at "IEEE Transactions on Vehicular Technology"

DOI: 10.1109/tvt.2022.3187746

Abstract: Code-domain non-orthogonal multiple access (NOMA) is a promising technology to achieve ubiquitous massive connections for 5G and beyond. In application scenarios with high channel dynamics or simplified scheduling procedures, multi-user signals face the difficulty of… read more here.

Keywords: user detection; code domain; multi user;

Compressed Sensing Based Active User Detection in MIMO Systems With One-Bit ADC

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recommendations! Published in 2023 at "IEEE Transactions on Vehicular Technology"

DOI: 10.1109/tvt.2022.3205162

Abstract: We investigate an active user detection for massive machine-type communication systems, in which a massive number of users with sporadic transmission communicate with a base station (BS) with multiple antennas. Due to hardware cost and… read more here.

Keywords: bit; active user; user detection; one bit ... See more keywords

Side-Information Aided Compressed Multi-User Detection for Up-Link Grant-Free NOMA

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recommendations! Published in 2020 at "IEEE Transactions on Wireless Communications"

DOI: 10.1109/twc.2020.3015760

Abstract: Grant-free non-orthogonal multiple access (NOMA) is considered as one of the most important methodologies for the machine-type communications (MTC). In the field of MTC, compressed sensing based multi-user detection (CS-MUD) has been recognized as an… read more here.

Keywords: user detection; link grant; grant free; mud ... See more keywords

Massive Random Access With Sporadic Short Packets: Joint Active User Detection and Channel Estimation via Sequential Message Passing

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recommendations! Published in 2021 at "IEEE Transactions on Wireless Communications"

DOI: 10.1109/twc.2021.3060451

Abstract: This paper considers an uplink massive machine-type communication (mMTC) scenario, where a large number of user devices are connected to a base station (BS). A novel grant-free massive random access (MRA) strategy is proposed, considering… read more here.

Keywords: user detection; channel estimation; active user; detection channel ... See more keywords

Multi user detection using fuzzy logic empowered adaptive back propagation neural network

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recommendations! Published in 2019 at "Neural Network World"

DOI: 10.14311/nnw.2019.29.024

Abstract: In Wireless communication, Multiple Input and Multiple Output (MIMO) systems have always been quite popular. Multicarrier systems are established along with different techniques of space-time coding to accomplish the demands of these systems. One of… read more here.

Keywords: fuzzy logic; neural network; multi user; user detection ... See more keywords