6G
Research keyword.
Research Collaboration and Mobility for Beyond 5G Future Wireless Networks – “RECOMBINE”
Future wireless networks (FWNs) will need to efficiently and flexibly provide diversified services such as enhanced mobile broadband access, ultra-reliable low-latency communications (URLLC), and massive machine-type communications . RECOMBINE joins the scientific excellence and expertise of key academic and industrial players into a joint collaborative effort to build the framework for the design of FWNs beyond 5G that are able to support
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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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Flexible access network design for futuristic mobile 5D communications and services
Viktor Stoynov, Antoni Ivanov, Dimitriya Mihaylova
AIP Conference Proceedings, Volume 2570
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Future Wireless Communication Technology towards 6G IoT: An Application-Based Analysis of IoT in Real-Time Location Monitoring of Employees Inside Underground Mines by Using BLE
Sushant Kumar Pattnaik, Soumya Ranjan Samal, Shuvabrata Bandopadhaya, Kaliprasanna Swain, Subhashree Choudhury, Jitendra Kumar Das, Albena Mihovska, Vladimir Poulkov
Sensors 2022, 22(9), 3438
Virtualized, Open and Intelligent: The Evolution of the Radio Access Network
Atanas Vlahov, Dessislava Ekova, Vladimir Poulkov, Todor Cooklev
6G Enabling Technologies: New Dimensions to Wireless Communication, Pages 181 – 214
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Probabilistic Spectrum Sensing Based on Feature Detection for 6G Cognitive Radio: A Survey
Antoni Ivanov, Krasimir Tonchev, Vladimir Poulkov, and Agata Manolova.
IEEE Access 9 (2021): 116994-117026.
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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Evolution of Mobile Networks and C-RAN on the Road Beyond 5G
Plamen Semov, Pavlina Koleva, Krasimir Tonchev, Vladimir Poulkov, and Todor Cooklev.
43rd International Conference on Telecommunications and Signal Processing (TSP), pp. 392-398. IEEE, 2020
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