Resource self-configuration and management in ultra-dense networks with user centric wireless access

Resource self-configuration and management in ultra-dense networks with user centric wireless access

This 3-year project (2018-2021) is а fundamental research project funded by the “Scientific Research Fund of the Bulgarian Ministry of Research and Education”. The objective of the project is the development and testing of fundamentally new methods and algorithms for proactive and effective Resource Self-Configuration and Management (RSCM) in Ultra-Dense Networks (UDN) with User Centric Wireless Access (UCWA) based on innovative approaches for user behaviour modelling, dynamic mobility management and resource virtualization, combined with advanced Interference Management (IM), novel transmission techniques and user-centric security, for the goal of ensuring the basic operating principle of a future cell-less network following and dynamically serving the user with unlimited throughput, ubiquitous and seamless connectivity.

Posts related to this project

TeliLab members related to this project

Antoni Ivanov

Antoni Ivanov

Postdoc Researcher
Vladimir Poulkov

Vladimir Poulkov

Head of the Lab

Publications related to this project

Learning Graph Convolutional Neural Networks to Predict Radio Environment Maps

Krasimir Tonchev; Antoni Ivanov; Nikolay Neshov; Agata Manolova; Vladimir Poulkov
2022 25th International Symposium on Wireless Personal Multimedia Communications (WPMC)

Influence of Density on Throughput Performance in Cognitive Ultra-dense Networks

Antoni Ivanov, Krasimir Tonchev, Pavlina Koleva, Vladimir Poulkov
Journal of Mobile Multimedia, Volume 19, Issue 1, Pages 29 – 46, 2023

Localization in cellular and heterogeneous networks for 5g and beyond: A review

Antoni Ivanov, Desislava Koshnicharova, Krasimir Tonchev, Vladimir Poulkov
Journal of Mobile Multimedia, Volume 19, Issue 1, Pages 47 – 72, 2023

Technique for Enhancing the Efficiency and Security of Lightweight IoT Devices

Santosh P. Jadhav, Georgi Balabanov, Vladimir Poulkov
5th International Conference on Advances in Computing and Data Sciences, ICACDS 2021

Machine Learning Enabled Performance Prediction Model for Massive-MIMO HetNet System

Shuvabrata Bandopadhaya, Soumya Ranjan Samal, Vladimir Poulkov
Sensors 2021, 21(3), 800
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