S Liu, X Huang - China Communications, 2021 - ieeexplore.ieee.org
The deep convolutional neural network (CNN) is exploited in this work to conduct the challenging channel estimation for mmWave massive multiple input multiple output (MIMO) …
K Yu, Q Yu, Z Tang, J Zhao, B Qian, Y Xu… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
To enable flexible base stations (BS) association and dynamic resource management for personalized user equipment (UE) download service provision in the next-generation …
In high-speed railways, the wireless channel and network topology change rapidly due to the high-speed movement of trains and the constant change of the location of …
Wireless channel estimation is one of the challenging problems in multiple input multiple output orthogonal frequency division multiplexing (MIMO-OFDM) wireless systems. The …
L Han, R Liu, Z Wang, Q Liu, Q Zhu… - China …, 2022 - ieeexplore.ieee.org
Communication and positioning, the two pillars of mobile communication systems, are currently being integrated together. The development of communication technologies is the …
SH Lin, Y Xu, JY Wang - IEEE Transactions on Vehicular …, 2022 - ieeexplore.ieee.org
In traditional cellular framework, the frequent handoff is one of the main factors that affect the performance of high-speed railway (HSR) communication systems. The cell-free massive …
Y Lian, M Ying, S Wang, Y Wang - 2023 International Wireless …, 2023 - ieeexplore.ieee.org
As a promising technology, Orthogonal Frequency Division Multiplexing-Index Modulation (OFDM-IM) has received significant attention in wireless communication systems. However …
Z Liu, D Zhang, J Guo, TA Tsiftsis, Y Su… - IEEE Systems …, 2022 - ieeexplore.ieee.org
Massive multiple-input–multiple-output (massive MIMO)-based low Earth orbit (LEO) intersatellite link communications is a promising research topic for the fifth generation (5G) …