S
Sven Parand
Researcher at Tallinn University of Technology
Publications - 9
Citations - 152
Sven Parand is an academic researcher from Tallinn University of Technology. The author has contributed to research in topics: Cellular network & Radio resource management. The author has an hindex of 3, co-authored 8 publications receiving 79 citations.
Papers
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Journal ArticleDOI
Narrowband Internet of Things (NB-IoT): From Physical (PHY) and Media Access Control (MAC) Layers Perspectives
Collins Burton Mwakwata,Hassan Malik,Muhammad Mahtab Alam,Yannick Le Moullec,Sven Parand,Shahid Mumtaz +5 more
TL;DR: The aim of this survey is to provide a comprehensive overview of the design changes brought in the NB-IoT standardization along with the detailed research developments from the perspectives of Physical and MAC layers.
Journal ArticleDOI
Radio Resource Management in NB-IoT Systems: Empowered by Interference Prediction and Flexible Duplexing
Hassan Malik,Muhammad Mahtab Alam,Haris Pervaiz,Yannick Le Moullec,Anwer Al-Dulaimi,Sven Parand,Luca Reggiani +6 more
TL;DR: The detailed design challenges that need to be addressed for the RRM of NB-IoT are presented and a novel framework to devise an efficient resource allocation scheme by exploiting cooperative interference prediction and flexible duplexing techniques is proposed.
Proceedings ArticleDOI
NB-IoT Network Field Trial: Indoor, Outdoor and Underground Coverage Campaign
Hassan Malik,Sikandar M. Zulqarnain Khan,Jeffrey Leonel Redondo Sarmiento,Alar Kuusik,Muhammad Mahtab Alam,Yannick Le Moullec,Sven Parand +6 more
TL;DR: A preliminary investigation of the coverage of the Narrowband Internet of Things in three different scenarios i.e., outdoor, indoor, and underground with empirical measurements indicates that NB-IoT is able to provide good connectivity to meet the IoT application requirements in outdoor and indoor environments.
Journal ArticleDOI
An Empirical Modeling for the Baseline Energy Consumption of an NB-IoT Radio Transceiver
Sikandar M. Zulqarnain Khan,Muhammad Mahtab Alam,Yannick Le Moullec,Alar Kuusik,Sven Parand,Christos Verikoukis +5 more
TL;DR: This work presents a thorough investigation of the energy consumption profiling of Radio Resource Control (RRC) communication protocol between an NB-IoT radio transceiver and a cellular base-station, and proposes an empirical baseline energy consumption model.
Proceedings ArticleDOI
Cooperative Interference Avoidance Scheduler for Radio Resource Management in NB-IoT Systems
TL;DR: The results show that the proposed algorithm provides up to 36 % throughput improvement to the NB-IoT UE as compared to Round-Robin and for the same device's locations, the UEs are experiencing relatively better maximum coupling loss (MCL) which results in lower repetition numbers per coverage class.