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Prediction of Link Quality for IoT Cloud Communications supported by Machine Learning
2021 IEEE World AI IoT Congress (AIIoT), 2021This paper introduces a study done to evaluate the use of machine learning regression techniques to predict the link quality of communications done by IoT nodes. The proposed methodology is able to predict the link quality of the most typical cloud communication protocols, such as cellular, Wi-Fi, SigFox and LoRaWAN, based on the node location.
Beatriz Dias +2 more
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Long-term application-level wireless link quality prediction
2015 36th IEEE Sarnoff Symposium, 2015The knowledge of a future throughput value for a user equipment (UE) in Long Term Evolution (LTE) or any other transmission technology is very valuable. It can be used in rate adaptation algorithms so that radio channel congestions may be mitigated thus allowing for better quality of experience of the wireless user. Such control usually would happen at
Zulfiquar Sayeed +3 more
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Link quality prediction for multimedia streaming based on available bandwidth and latency
38th Annual IEEE Conference on Local Computer Networks - Workshops, 2013Network performance metrics such as available bandwidth and latency are essential to achieve good Quality of Service (QoS) in multimedia streaming. There are unique requirements in network performance metrics for media applications, such as audio conferencing, video streaming, video conferencing, and high-definition (HD) video conferencing.
Lim Su Jin +3 more
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Predicting link quality using supervised learning in wireless sensor networks
ACM SIGMOBILE Mobile Computing and Communications Review, 2007Routing protocols in sensor networks maintain information on neighbor states and potentially many other factors in order to make informed decisions. Challenges arise both in (a) performing accurate and adaptive information discovery and (b) processing/analyzing the gathered data to extract useful features and correlations.
Yong Wang +2 more
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A fuzzy-based machine learning model for robot prediction of link quality
2016 IEEE Symposium Series on Computational Intelligence (SSCI), 2016With foresight into the state of the wireless channel, a robot can make various optimization decisions with regards to routing packets, planning mobility paths, or switching between diverse radios. However, the process of predicting link quality (LQ) is nontrivial due to the streaming and dynamic nature of radio wave propagation, which is complicated ...
Christopher J. Lowrance +2 more
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A Hybrid Model with CNN-LSTM for Link Quality Prediction
2023 6th International Conference on Electronics Technology (ICET), 2023null Fanjiebin, null Liulinlan
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Ground Monitoring Console with Causal Link-Quality Prediction
Ground monitoring becomes more useful when aircraft state, communication condition, time, and location are interpreted together rather than as independent streams. This paper presents an integrated ground-monitoring workflow that combines historical flight-telemetry visualization with a causal multi-horizon machine-learning pipeline for predicting ...openaire +1 more source
Environment-Aware Link Quality Prediction for Millimeter-Wave Wireless LANs
Proceedings of the 20th ACM International Symposium on Mobility Management and Wireless Access, 2022Yuchen Liu 0001, Douglas M. Blough
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QoE-driven Link Quality Prediction for Video Streaming in Mobile Networks
2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring), 2022Yitu Wang +5 more
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