50 citations · 98 across the 21 of their papers we have counts for
22 papers
Ultra-Low-Power IoT Communications: A novel address decoding approach for wake-up receivers
Yousef Mafi, Fakhreddin Amirhosseini, Seied Ali Hosseini +3
Providing energy-efficient Internet of Things (IoT) connectivity has attracted significant attention in fifth-generation (5G) wireless networks and beyond. A potential solution for…
Energy and Resource Efficiency by User Traffic Prediction and Classification in Cellular Networks
Amin Azari, Fateme Salehi, Panagiotis Papapetrou +1
There is a lack of research on the analysis of per-user traffic in cellular networks, for deriving and following traffic-aware network management. \textcolor{black}{In fact, the le…
Interference management for coexisting Internet of Things networks over unlicensed spectrum
Amin Azari, Meysam Masoudi
The main building block of Internet of Things (IoT) ecosystem is providing low-cost scalable connectivity for the radio/compute-constrained devices. This connectivity could be real…
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,…
Reliability and Battery Lifetime Improvement for IoT Networks: Challenges and AI-powered solutions
Amin Azari, Mahmoud Abbasi
Towards realizing an intelligent networked society, enabling low-cost low-energy connectivity for things, also known as Internet of Things (IoT), is of crucial importance. While th…
Machine Learning assisted Handover and Resource Management for Cellular Connected Drones
Amin Azari, Fayezeh Ghavimi, Mustafa Ozger +2
Enabling cellular connectivity for drones introduces a wide set of challenges and opportunities. Communication of cellular-connected drones is influenced by 3-dimensional mobility…
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…
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,…
Bitcoin Price Prediction: An ARIMA Approach
Amin Azari
Bitcoin is considered the most valuable currency in the world. Besides being highly valuable, its value has also experienced a steep increase, from around 1 dollar in 2010 to aroun…
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…
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…
Performance Evaluation and Optimization of LPWA IoT Networks: A Stochastic Geometry Approach
Amin Azari, Cicek Cavdar
Leveraging grant-free radio access for enabling lowpower wide-area (LPWA) Internet of Things (IoT) connectivity has attracted lots of attention in recent years. Regarding lack of r…
Latency-Energy Tradeoff based on Channel Scheduling and Repetitions in NB-IoT Systems
Amin Azari, Guowang Miao, Cedomir Stefanovic +1
Narrowband IoT (NB-IoT) is the latest IoT connectivity solution presented by the 3GPP. NB-IoT introduces coverage classes and introduces a significant link budget improvement by al…
Optimized Resource Provisioning and Operation Control for Low-power Wide-area IoT Networks
Amin Azari, Meysam Masoudi, Cicek Cavdar
The tradeoff between cost of the access network and quality of offered service to IoT devices, in terms of reliability and durability of communications, is investigated. We first d…
Network Lifetime Maximization for Cellular-Based M2M Networks
Amin Azari, Guowang Miao
High energy efficiency is critical for enabling massive machine-type communications (MTC) over cellular networks. This work is devoted to energy consumption modeling, battery lifet…
Grant-free Radio Access IoT Networks: Scalability Analysis in Coexistence Scenarios
Meysam Masoudi, Amin Azari, Emre Altug Yavuz +1
IoT networks with grant-free radio access, like SigFox and LoRa, offer low-cost durable communications over unlicensed band. These networks are becoming more and more popular due t…
Grant-Free Radio Access for Short-Packet Communications over 5G Networks
Amin Azari, Petar Popovski, Guowang Miao +1
Radio access management plays a vital role in delay and energy consumption of connected devices. The radio access in existing cellular networks is unable to efficiently support mas…
-MAC: Energy Efficient Medium Access for Massive M2M Communications
Guowang Miao, Amin Azari, Taewon Hwang
In this paper, we investigate energy-efficient clustering and medium access control (MAC) for cellular-based M2M networks to minimize device energy consumption and prolong network…
Energy Efficient Scheduling and Groupping for Machine-TYpe Communications over Cellular Networks
Amin Azari
In this paper, energy-efficient scheduling for grouped machine-type devices deployed in cellular networks is investigated. We introduce a scheduling-based cooperation incentive sch…
Degrees of Freedom for Instantaneous-Relay Aided Interference Channel: Bounds and Achievable Schemes
Amin Azari, Farshad Lahouti, Tobias Weber
The K-user flat fading MIMO interference channel with J instantaneous relays (KICJR) is considered. In the KICJR, the effective channel between sources and destinations including t…
Power Allocation in Multi-hop OFDM Transmission Systems with Amplify-and-Forward Relaying: A Unified Approach
Amin Azari, Jalil S. Harsini, Farshad Lahouti
In this paper a unified approach for power allocation (PA) problem in multi-hop orthogonal frequency division multiplexing (OFDM) amplify-and-forward (AF) relaying systems has been…
Performance Analysis of Ad-Hoc Routing in Clustered Multi-hop Wireless Networks
Amin Azari, Jalil Seifali Harsini, Farshad Lahouti
This paper analyzes the performance of clustered decode-and-forward multi-hop relaying (CDFMR) wireless Rayleigh fading networks, and sheds light on their design principles for ene…