A CNN Architecture for Learning Device Activity From MMV
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Communications Letters"
DOI: 10.1109/lcomm.2021.3091841
Abstract: Device activity detection has been extensively investigated for grant-free massive machine-type communications. Instead of using deep Multi-Layer Perception (MLP) networks, this letter proposes a novel convolutional neural network (CNN) architecture for learning device activity from… read more here.
Keywords: architecture learning; device activity; cnn architecture; device ... See more keywords
Joint Device Activity Detection, Channel Estimation and Signal Detection for Massive Grant-Free Access via BiGAMP
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2023.3263942
Abstract: Massive access has been challenging for the fifth generation (5 G) and beyond since the abundance of devices causes communication overload to skyrocket. In an uplink massive access scenario, device traffic is sporadic in any given… read more here.
Keywords: activity detection; device activity; detection; access ... See more keywords
RIS-Assisted Device Activity Detection with Statistical Channel State Information
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Wireless Communications"
DOI: 10.1109/twc.2023.3271365
Abstract: This paper studies reconfigurable intelligent surface (RIS) assisted device activity detection for grant-free (GF) uplink transmission in wireless communication networks. In particular, we consider mobile devices located in an area where the direct link to… read more here.
Keywords: phase shift; design; detection; device activity ... See more keywords