Non-Bayesian Activity Detection, Large-Scale Fading Coefficient Estimation, and Unsourced Random Access With a Massive MIMO Receiver-Reference-Cited by-同舟云学术

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Non-Bayesian Activity Detection, Large-Scale Fading Coefficient Estimation, and Unsourced Random Access With a Massive MIMO Receiver

Published:2021-05 Issue:5 Volume:67 Page:2925-2951
ISSN:0018-9448
Container-title:IEEE Transactions on Information Theory
language:
Short-container-title:IEEE Trans. Inform. Theory

Author:

Fengler Alexander^ORCID,Haghighatshoar Saeid^ORCID,Jung Peter^ORCID,Caire Giuseppe^ORCID

Funder

Deutsch Akademischer Austauschdienst

Alexander-von-Humbold Foundation

Deutsche Forschungsgemeinschaft

DAAD

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Library and Information Sciences,Computer Science Applications,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/18/9409872/09374476.pdf?arnumber=9374476

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1. Unsourced Multiple Access for Mission-Critical Control Systems in Industrial Internet of Things;IEEE Internet of Things Journal;2024-09-01

2. Active Detection and Channel Estimation Schemes for Massive Random Access in User-Centric Cell-Free Massive MIMO System;IEEE Internet of Things Journal;2024-09-01

3. Joint Activity and Data Detection for Massive Grant-Free Access Using Deterministic Non-Orthogonal Signatures;IEEE Transactions on Wireless Communications;2024-08

4. MLE-Based Device Activity Detection Under Rician Fading for Massive Grant-Free Access With Perfect and Imperfect Synchronization;IEEE Transactions on Wireless Communications;2024-08

5. Design and Analysis of Massive Uncoupled Unsourced Random Access With Bayesian Joint Decoding;IEEE Transactions on Vehicular Technology;2024-07

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