Results 11 to 20 of about 82,358 (88)
Prace GeograficznePółnaturalne łąki i pastwiska są jednymi z najcenniejszych, a zarazem najbardziej zagrożonych ekosystemów w Europie.
Natalia Tokarczyk
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On-Device Intelligence for 5G RAN: Knowledge Transfer and Federated Learning Enabled UE-Centric Traffic Steering [PDF]
IEEE Transactions on Cognitive Communications and Networking, 2023 Traffic steering (TS) is a promising approach to support various service requirements and enhance transmission reliability by distributing network traffic loads to appropriate base stations (BSs).
Han Zhang +6 more
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DRL-based Joint Beamforming and BS-RIS-UE Association Design for RIS-Assisted mmWave Networks [PDF]
IEEE Wireless Communications and Networking Conference, 2022 Reconfigurable intelligent surface (RIS) is considered as an extraordinarily promising technology to solve the blockage problem of millimeter wave (mmWave) communications owing to its capable of establishing a reconfigurable wireless propagation. In this
Yuqian Zhu +5 more
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Iść wolniej, a w każdym razie inaczej. Jak zbudować opowieść o Unii po pandemii?
Rocznik Integracji Europejskiej, 2021 Aby zbudować opowieść o Unii po pandemii, staramy się zrozumieć zmiany i ich wpływ na nasze życie. Rok 2020 osłabił wiarę w przyszłość pojmowaną jako lepsza wersja teraźniejszości.
Marek Prawda
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ML-Assisted UE Positioning: Performance Analysis and 5G Architecture Enhancements [PDF]
IEEE Open Journal of Vehicular Technology, 2021 Artificial intelligence and data-driven networks will be integral part of 6G systems. In this article, we comprehensively discuss implementation challenges and need for architectural changes in 5G radio access networks for integrating machine learning ...
M. Majid Butt, A. Pantelidou, I. Kov'acs
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IEEE Transactions on Parallel and Distributed Systems, 2023 Federated learning (FL) is a distributed machine learning technique that enables model development on user equipments (UEs) locally, without violating their data privacy requirements.
Zichuan Xu +8 more
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UE Power Saving With Traffic Classification and UE Assistance
IEEE Access, 2023 A mobile device - or user equipment (UE) - using 5G can be configured to operate with large bandwidths and a large number of MIMO layers to enable high-throughput applications. This, however, comes at the cost of high power consumption.
Anum Ali +5 more
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RF Fingerprinting and Deep Learning Assisted UE Positioning in 5G [PDF]
IEEE Vehicular Technology Conference, 2020 In this work, we investigate user equipment (UE) positioning assisted by deep learning (DL) in 5G and beyond networks. As compared to state of the art positioning algorithms used in today’s networks, radio signal fingerprinting and machine learning (ML ...
M. Majid Butt, A. Rao, Daejung Yoon
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A Comparative Study of 3D UE Positioning in 5G New Radio with a Single Station
Italian National Conference on Sensors, 2021 The 5G network is considered as the essential underpinning infrastructure of manned and unmanned autonomous machines, such as drones and vehicles. Besides aiming to achieve reliable and low-latency wireless connectivity, positioning is another function ...
Bo Sun, Bo Tan, Wenbo Wang, E. Lohan
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Joint AP-UE Association and Precoding for SIM-Aided Cell-Free Massive MIMO Systems [PDF]
IEEE Transactions on Wireless CommunicationsCell-free (CF) massive multiple-input multiple-output (mMIMO) systems are emerging as promising alternatives to cellular networks, especially in ultra-dense environments. However, further capacity enhancement requires the deployment of more access points
Enyu Shi +6 more
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