Joint User Activity Identification and Channel Estimation for Grant-Free NOMA: A Spatial–Temporal Structure-Enhanced Approach
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2021.3063476
Abstract: Exploiting the sparse nature of user activity, compressed sensing (CS) has been a powerful technique to realize efficient user detection in grant-free nonorthogonal multiple access (NOMA). However, most of the existing CS-based multiuser detection schemes… read more here.
Keywords: temporal structure; spatial temporal; user; user activity ... See more keywords
Compressed Sensing Based Multiuser Detection of Grant-Free NOMA With Dynamic User Activity
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Communications Letters"
DOI: 10.1109/lcomm.2021.3124608
Abstract: In this letter, by exploiting both the temporal correlation of active user and signal statistical information, we propose a compressed sensing based multi-user detection for uplink grant-free non-orthogonal multiple access where the user activity varies… read more here.
Keywords: grant free; detection; compressed sensing; user activity ... See more keywords
DUAPM: An Effective Dynamic Micro-Blogging User Activity Prediction Model Towards Cyber-Physical-Social Systems
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2019.2959791
Abstract: Recent emergence of “microblogging” services has been driving cyber-physical social system (CPSS) as a hot topic in real-world applications. How to efficiently detect and recognise spam and fake accounts becomes an important task where it… read more here.
Keywords: activity prediction; cyber physical; activity; model ... See more keywords
Impact of Primary User Activity Statistics in Cognitive Vehicular Networks
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2021.3138253
Abstract: Due to the scarcity of channel availability in IEEE 802.11p standard, applications related to infotainment and multimedia services are vulnerable to suffer from delays and connectivity. Cognitive radio (CR) has the potential to overcome the… read more here.
Keywords: primary user; spectrum; activity; activity statistics ... See more keywords
Deep Learning-Based User Activity Detection and Channel Estimation in Grant-Free NOMA
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Wireless Communications"
DOI: 10.1109/twc.2022.3209667
Abstract: In the uplink machine-type communication (MTC) system, a combination of grant-free transmission and non-orthogonal multiple access (NOMA) emerges to reduce the control overhead and transmission latency. In the grant-free scenario, the base station needs to… read more here.
Keywords: grant free; activity detection; detection; user activity ... See more keywords
Understanding Political Polarization Based on User Activity: A Case Study in Korean Political YouTube Channels
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DOI: 10.1177/21582440221094587
Abstract: This study proposes a novel approach for measuring political polarization using a user-activity-based model. By exploiting data from comments, user activity in this study is defined based on features such as coverage, duration, and enthusiasm.… read more here.
Keywords: political polarization; user activity; youtube channels;
Digital Transition Outcomes: From Online Reality to Mixed Reality
Sign Up to like & getrecommendations! Published in 2020 at "Cultural-Historical Psychology"
DOI: 10.17759/chp.2020160409
Abstract: Nowadays, when most people are on the Internet and “connected” most time of the day and night, the Internet becomes a place of the socialization of modern children and adolescents, which requires a rethinking of… read more here.
Keywords: aged years; user activity; digital transition; level ... See more keywords
CNN for User Activity Detection Using Encrypted In-App Mobile Data
Sign Up to like & getrecommendations! Published in 2022 at "Future Internet"
DOI: 10.3390/fi14020067
Abstract: In this study, a simple yet effective framework is proposed to characterize fine-grained in-app user activities performed on mobile applications using a convolutional neural network (CNN). The proposed framework uses a time window-based approach to… read more here.
Keywords: activity detection; cnn user; encrypted traffic; traffic ... See more keywords