MIMO Unsourced Random Access in Frequency Selective Channels: Exploiting Delay-Angular Sparsity
Min Liu; Yue Xiao; Lechen Zhang; Vladimir Poulkov; Ming Xiao.
2024 International Conference on Future Communications and Networks (FCN)
mMIMO
MObility and Training fOR beyond 5G Ecosystems – “Motor5G”
The main objective of the project MOTOR5G is to motivate and skill competitive young researchers through involvement and engagement in a variety of research activities enabling them to work on real-life technical issues, across multiple European countries and organizations, and providing a strong networking opportunity through participation as speakers in conference and workshop events and through engagement with industry and other stakeholders
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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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Evaluation of Channel Estimation Algorithms Using Practically Measured Channels in FDD Massive MIMO
Nikolay Dandanov, Krasimir Tonchev, Vladimir Poulkov, Pavlina Koleva
International Conference on Future Access Enablers of Ubiquitous and Intelligent Infrastructures, 2019
Approximate Message Passing for Downlink Sparse Channel Estimation in FDD Massive MIMO
Nikolay Dandanov, Krasimir Tonchev, Vladimir Poulkov, and Pavlina Koleva
42nd International Conference on Telecommunications and Signal Processing (TSP), pp. 487-491. IEEE, 2019.
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