Deep learning predictive band switching in wireless networks
In cellular systems, the user equipment (UE) can request a change in the frequency band
when its rate drops below a threshold on the current band. The UE is then instructed by the …
when its rate drops below a threshold on the current band. The UE is then instructed by the …
Millimeter wave V2I beam-training using base-station mounted radar
A Ali, N González-Prelcic… - 2019 IEEE Radar …, 2019 - ieeexplore.ieee.org
Reducing the beam-training overhead is a major challenge in realizing millimeter wave
(mmWave) V2I communication systems. In this work, we use location of the vehicle to reduce …
(mmWave) V2I communication systems. In this work, we use location of the vehicle to reduce …
Predicting device-to-device channels from cellular channel measurements: A learning approach
Device-to-device (D2D) communication, which enables a direct connection between users
while bypassing the cellular channels to base stations (BSs), is a promising way to offload …
while bypassing the cellular channels to base stations (BSs), is a promising way to offload …
Deep learning-based beam alignment in mmwave vehicular networks
Millimeter wave channels exhibit structure that allows beam alignment with fewer channel
measurements than exhaustive beam search. From a compressed sensing (CS) …
measurements than exhaustive beam search. From a compressed sensing (CS) …
Dual-radio-assisted (DRA) MAC protocols for distributed terahertz networks
Terahertz (THz) communication is envisioned as one of the key technologies to satisfy the
high data rate demand of intelligent 6G networks. However, directional transmissions, as …
high data rate demand of intelligent 6G networks. However, directional transmissions, as …
Beam management with orientation and RSRP using deep learning for beyond 5G systems
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 …
receive beam pair, can be challenging, particularly in highly dynamic scenarios. Side …
Deep learning assisted beam prediction using out-of-band information
K Ma, P Zhao - 2020 IEEE 91st Vehicular Technology …, 2020 - ieeexplore.ieee.org
The low-frequency and mmWave links usually co-exist in the next generation wireless
terminals, where the low-frequency link is always on and the mmWave link becomes active …
terminals, where the low-frequency link is always on and the mmWave link becomes active …
Grid-free MIMO beam alignment through site-specific deep learning
Y Heng, JG Andrews - IEEE Transactions on Wireless …, 2023 - ieeexplore.ieee.org
Beam alignment is a critical bottleneck in millimeter wave communication. An ideal beam
alignment technique should achieve high beamforming gain with low latency, scale well to …
alignment technique should achieve high beamforming gain with low latency, scale well to …
Site-specific online compressive beam codebook learning in mmWave vehicular communication
Millimeter wave (mmWave) communication is one viable solution to support Gbps sensor
data sharing in vehicular networks. The use of large antenna arrays at mmWave and high …
data sharing in vehicular networks. The use of large antenna arrays at mmWave and high …
[HTML][HTML] 面向高铁毫米波通信智能资源管理研究综述
闫莉， 方旭明， 李毅， 薛青 - 电子与信息学报, 2023 - jeit.ac.cn
为满足高速铁路智能化发展对铁路移动通信系统提出的新需求, 基于第5 代(5G)
无线通信技术的高铁移动网络将采用宽带毫米波频段以提高传输容量. 基于此 …
无线通信技术的高铁移动网络将采用宽带毫米波频段以提高传输容量. 基于此 …