Results 11 to 20 of about 1,340,464 (321)
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. A variety of applications run at the UE with widely varying throughput requirements.
Anum Ali +5 more
openaire +3 more sources
Post-Quantum Secure UE-to-UE Communications
2024 15th International Conference on Network of the Future (NoF)The rapid development of quantum computing poses a significant threat to the security of current cryptographic systems, including those used in User Equipment (UE) for mobile communications. Conventional cryptographic algorithms such as Rivest-Shamir-Adleman (RSA) and Elliptic curve cryptography (ECC) are vulnerable to quantum computing attacks, which ...
Hoque, Sanzida +2 more
openaire +3 more sources
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
semanticscholar +1 more source
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
semanticscholar +1 more source
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
semanticscholar +1 more source
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
semanticscholar +1 more source
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
semanticscholar +1 more source
Beamforming Tradeoffs for Initial UE Discovery in Millimeter-Wave MIMO Systems [PDF]
IEEE Journal on Selected Topics in Signal Processing, 2016 Millimeter-wave (mmW) multi-input multi-output (MIMO) systems have gained increasing traction toward the goal of meeting the high data-rate requirements in next-generation wireless systems.
V. Raghavan +4 more
semanticscholar +1 more source
Towards 1 Gbps/UE in Cellular Systems: Understanding Ultra-Dense Small Cell Deployments [PDF]
IEEE Communications Surveys and Tutorials, 2015 Today's heterogeneous networks comprised of mostly macrocells and indoor small cells will not be able to meet the upcoming traffic demands. Indeed, it is forecasted that at least a $100\times$ network capacity increase will be required to meet the ...
D. López-Pérez +3 more
semanticscholar +1 more source
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
semanticscholar +1 more source