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Machine Learning assisted Handover and Resource Management for Cellular Connected Drones
Enabling cellular connectivity for drones introduces a wide set of chall...
01/22/2020 ∙ by Amin Azari, et al. ∙
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Cellular Traffic Prediction and Classification: a comparative evaluation of LSTM and ARIMA
Prediction of user traffic in cellular networks has attracted profound a...
06/03/2019 ∙ by Amin Azari, et al. ∙
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User Traffic Prediction for Proactive Resource Management: Learning-Powered Approaches
Traffic prediction plays a vital role in efficient planning and usage of...
05/09/2019 ∙ by Amin Azari, et al. ∙
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Risk-Aware Resource Allocation for URLLC: Challenges and Strategies with Machine Learning
Supporting ultra-reliable low-latency communications (URLLC) is a major ...
12/22/2018 ∙ by Amin Azari, et al. ∙
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Latency-Energy Tradeoff based on Channel Scheduling and Repetitions in NB-IoT Systems
Narrowband IoT (NB-IoT) is the latest IoT connectivity solution presente...
07/15/2018 ∙ by Amin Azari, et al. ∙
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Self-organized Low-power IoT Networks: A Distributed Learning Approach
Enabling large-scale energy-efficient Internet-of-things (IoT) connectiv...
07/15/2018 ∙ by Amin Azari, et al. ∙
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Performance Evaluation and Optimization of LPWA IoT Networks: A Stochastic Geometry Approach
Leveraging grant-free radio access for enabling lowpower wide-area (LPWA...
07/15/2018 ∙ by Amin Azari, et al. ∙
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Optimized Resource Provisioning and Operation Control for Low-power Wide-area IoT Networks
The tradeoff between cost of the access network and quality of offered s...
04/25/2018 ∙ by Amin Azari, et al. ∙
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Network Lifetime Maximization for Cellular-Based M2M Networks
High energy efficiency is critical for enabling massive machine-type com...
02/19/2018 ∙ by Amin Azari, et al. ∙
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