Wireless 3ghz and 30 ghz vehicle-to-vehicle measurements in an urban street scenario

M Hofer, D Lóschenbrand, S Zelenbaba… - 2022 IEEE 96th …, 2022 - ieeexplore.ieee.org
In this paper we present and discuss results of a wireless vehicle-to-vehicle (V2V) dualband
channel measurement campaign at center frequencies of 3.2 GHz and 34.3 GHz in an urban …

Poison neural network-based mmWave beam selection and detoxification with machine unlearning

Z Zhang, M Tian, C Li, Y Huang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Deep neural network-based learning methods have been considered promising techniques
used in beam selection problems. However, existing research ignores the peculiar …

Out-of-band information aided mmwave/THz beam search: A spatial channel similarity perspective

P Zhang, P Kyösti, K Haneda… - IEEE …, 2022 - ieeexplore.ieee.org
The transition to higher frequency bands, such as millimeter-wave (mmWave) and terahertz
(THz), will be capitalized in the long term for future wireless communications. One of the …

Joint scheduling and precoding for mmwave and sub-6ghz dual-mode networks

M Cheng, JB Wang, J Cheng… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
A millimeter wave (mmWave) and sub-6 GHz (μWave) dual-mode network can take
advantages of the signals over both bands. The user scheduling in the medium access layer …

A joint optimization framework for network deployment and adaptive user assignment in indoor millimeter wave networks

S Chatterjee, MJ Abdel-Rahman… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Millimeter wave (mmW) systems typically use beamforming techniques to compensate for
the high pathloss. However, directional communications in the presence of uncertainty in …

Grid-less mmWave beam alignment through deep learning

Y Heng, JG Andrews - GLOBECOM 2022-2022 IEEE Global …, 2022 - ieeexplore.ieee.org
Beam alignment-finding optimal analog beam-forming (BF) weights-is a critical bottleneck
for millimeter wave (mmWave) systems. Existing beam alignment approaches typically …

A deep learning framework for beam selection and power control in massive MIMO-millimeter-wave communications

TT Nguyen, KK Nguyen - IEEE Transactions on Mobile …, 2022 - ieeexplore.ieee.org
A fine power control policy and beam alignment is required between the base station (BS)
and user equipment (UE) to achieve the promising performance of massive multiple input …

Deep reinforcement learning-based beam training with energy and spectral efficiency maximisation for millimetre-wave channels

Narengerile, J Thompson, P Patras… - EURASIP Journal on …, 2022 - Springer
The millimetre-wave (mmWave) spectrum has been investigated for the fifth generation
wireless system to provide greater bandwidths and faster data rates. The use of mmWave …

Location-aided beamforming in mobile millimeter-wave networks

S Khosravi, HS Ghadikolaei, J Zander… - 2022 IEEE 95th …, 2022 - ieeexplore.ieee.org
Due to the large bandwidth available, millimeter-Wave (mmWave) bands are considered a
viable opportunity to significantly increase the data rate in cellular and wireless networks …

Low-band information and historical data aided non-uniform millimeter wave beam selection algorithm in 5G-R high-speed railway communication scene

T Li, Y Xu, H Tong, K Pang - IEEE Transactions on Vehicular …, 2021 - ieeexplore.ieee.org
Millimeter wave (mmWave) communication is one of the critical technologies of the fifth
generation mobile communication. It can meet the increasing demand for high-speed …