[HTML][HTML] From 5G to 6G—challenges, technologies, and applications

AI Salameh, M El Tarhuni - Future Internet, 2022 - mdpi.com
As the deployment of 5G mobile radio networks gains momentum across the globe, the
wireless research community is already planning the successor of 5G. In this paper, we …

The integrated sensing and communication revolution for 6G: Vision, techniques, and applications

N González-Prelcic, MF Keskin… - Proceedings of the …, 2024 - ieeexplore.ieee.org
Future wireless networks will integrate sensing, learning, and communication to provide new
services beyond communication and to become more resilient. Sensors at the network …

Deep learning-based link configuration for radar-aided multiuser mmWave vehicle-to-infrastructure communication

A Graff, Y Chen, N González-Prelcic… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Configuring millimeter wave links following a conventional beam training protocol, as the
one proposed in the current cellular standard, introduces a large communication overhead …

Hand blockage impact on 5G mmWave beam management performance

F Fernandes, C Rom, J Harrebek, S Svendsen… - IEEE …, 2022 - ieeexplore.ieee.org
Modelling and managing user-induced rotation and blockage in handheld multi-antenna
panel devices are some of the pivotal challenges of future narrow beam millimeter wave …

A deep learning approach to location-and orientation-aided 3D beam selection for mmWave communications

S Rezaie, E De Carvalho… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Position-aided beam selection methods have been shown to be an effective approach to
achieve high beamforming gain while limiting the overhead and latency of initial access in …

Beam management with orientation and RSRP using deep learning for beyond 5G systems

KN Nguyen, A Ali, J Mo, BL Ng, V Va… - 2022 IEEE …, 2022 - ieeexplore.ieee.org
Beam management (BM), ie, the process of finding and maintaining a suitable transmit and
receive beam pair, can be challenging, particularly in highly dynamic scenarios. Side …

Deep Q-network based beam tracking for mobile millimeter-wave communications

H Park, J Kang, S Lee, JW Choi… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In this paper, we present a beam tracking algorithm based on the deep Q-network (DQN) for
mobile millimeter-wave (mmWave) communications. The proposed algorithm determines the …

Extending uplink coverage of mmwave and terahertz systems through joint phase-time arrays

A Alammouri, J Mo, VV Ratnam, BL Ng… - IEEE …, 2022 - ieeexplore.ieee.org
In this paper, we establish the potential of joint phase-time arrays (JPTAs) for uplink
coverage extension in cellular systems. JPTA allows the base station (BS) to create …

Location-and orientation-aware millimeter wave beam selection for multi-panel antenna devices

S Rezaie, J Morais, E De Carvalho… - … 2022-2022 IEEE …, 2022 - ieeexplore.ieee.org
While initial beam alignment (BA) in millimeter-wave networks has been thoroughly
investigated, most research assumes a simplified terminal model based on uniform …

Learning probing beams for fast mmWave beam alignment

Y Heng, J Mo, JG Andrews - 2021 IEEE Global …, 2021 - ieeexplore.ieee.org
Beam alignment-the process of finding an optimal directional beam pair-is a challenging
procedure crucial to millimeter wave (mmWave) communication systems. In this work, we …