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20142021
most citedNetwork Lifetime Maximization for Cellular-Based M2M Networks

50 citations · 98 across the 21 of their papers we have counts for

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5 papers · 1 filter

cs.NI2021★ 10 cited

Cellular, Wide-Area, and Non-Terrestrial IoT: A Survey on 5G Advances and the Road Towards 6G

Mojtaba Vaezi, Amin Azari, Saeed R. Khosravirad +4

The next wave of wireless technologies is proliferating in connecting things among themselves as well as to humans. In the era of the Internet of things (IoT), billions of sensors,…

cs.NI2019★ 1 cited

Cellular Traffic Prediction and Classification: a comparative evaluation of LSTM and ARIMA

Amin Azari, Panagiotis Papapetrou, Stojan Denic +1

Prediction of user traffic in cellular networks has attracted profound attention for improving resource utilization. In this paper, we study the problem of network traffic traffic…

cs.NI2019

User Traffic Prediction for Proactive Resource Management: Learning-Powered Approaches

Amin Azari, Panagiotis Papapetrou, Stojan Denic +1

Traffic prediction plays a vital role in efficient planning and usage of network resources in wireless networks. While traffic prediction in wired networks is an established field,…

cs.NI2018

Risk-Aware Resource Allocation for URLLC: Challenges and Strategies with Machine Learning

Amin Azari, Mustafa Ozger, Cicek Cavdar

Supporting ultra-reliable low-latency communications (URLLC) is a major challenge of 5G wireless networks. Stringent delay and reliability requirements need to be satisfied for bot…

cs.NI2018★ 1 cited

Self-organized Low-power IoT Networks: A Distributed Learning Approach

Amin Azari, Cicek Cavdar

Enabling large-scale energy-efficient Internet-of-things (IoT) connectivity is an essential step towards realization of networked society. While legacy wide-area wireless systems a…