On-chip micro pressure sensor for microfluidic pressure monitoring
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Micromechanics and Microengineering"
DOI: 10.1088/1361-6439/abf1b4
Abstract: In this work, a novel on-chip micro pressure sensor was developed for microfluidic pressure monitoring. Polydimethylsiloxane (PDMS) microfluidic chip contained a working fluid channel with a sealed detection channel beneath it. Any change in pressure… read more here.
Keywords: pressure sensor; detection channel; sensor; pressure ... See more keywords
Deep Learning-Based Transmit Power Control for Device Activity Detection and Channel Estimation in Massive Access
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Wireless Communications Letters"
DOI: 10.1109/lwc.2021.3123579
Abstract: We propose a transmit power control (TPC) scheme for grant-free multiple access, where each device is able to determine its transmit power based on a TPC function. For the proposed scheme, we design a novel… read more here.
Keywords: detection channel; deep learning; device; transmit power ... See more keywords
Massive Random Access With Sporadic Short Packets: Joint Active User Detection and Channel Estimation via Sequential Message Passing
Sign Up to like & getrecommendations! 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
Model-Based Deep Learning for Joint Activity Detection and Channel Estimation in Massive and Sporadic Connectivity
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Wireless Communications"
DOI: 10.1109/twc.2022.3179600
Abstract: We present two model-based neural network architectures purposed for sporadic user detection and channel estimation in massive machine-type communications. In the scenario under consideration, a base station assigns the users a set of pilot sequences… read more here.
Keywords: detection channel; model; estimation; channel ... See more keywords