Self-supervised deep learning for mmWave beam steering exploiting sub-6 GHz channels
mmWave communication requires accurate and continuous beam steering to overcome the
severe propagation loss and user mobility. In this paper, we leverage a self-supervised deep …
severe propagation loss and user mobility. In this paper, we leverage a self-supervised deep …
Federated channel-beam mapping: from sub-6ghz to mmwave
Accurate beamforming is a critical challenge for mmWave communications. Because of the
large training overhead of beam training at high frequencies, it becomes relevant to exploit …
large training overhead of beam training at high frequencies, it becomes relevant to exploit …
FusionNet: Enhanced beam prediction for mmWave communications using sub-6 GHz channel and a few pilots
In order to reduce the downlink training overhead of mmWave communications, we propose
a novel downlink beamforming strategy using the uplink sub-6GHz channel and downlink …
a novel downlink beamforming strategy using the uplink sub-6GHz channel and downlink …
Learning to predict the mobility of users in mobile mmWave networks
MmWave communication suffers from severe path loss due to high frequency and is
sensitive to blockages because of high penetration loss, especially in mobile communication …
sensitive to blockages because of high penetration loss, especially in mobile communication …
Deep learning for mmWave beam-management: State-of-the-art, opportunities and challenges
Benefiting from huge bandwidth resources, millimeter-wave (mmWave) communications
provide one of the most promising technologies for next-generation wireless networks. To …
provide one of the most promising technologies for next-generation wireless networks. To …
Augmenting Beam Alignment for mmWave Communication Systems via Channel Attention
J Kim, J Kim - Electronics, 2023 - mdpi.com
The beamforming technique has attracted considerable attention in wireless communication
due to its various advantages such as interference reduction and improved wireless …
due to its various advantages such as interference reduction and improved wireless …
Deep learning-based mmWave beam selection for 5G NR/6G with sub-6 GHz channel information: Algorithms and prototype validation
In fifth-generation (5G) communications, millimeter wave (mmWave) is one of the key
technologies to increase the data rate. To overcome this technology's poor propagation …
technologies to increase the data rate. To overcome this technology's poor propagation …
Deep reinforcement learning based blind mmWave MIMO beam alignment
Directional beamforming is a crucial component for realizing robust wireless millimeter wave
(mmWave) communication systems. Beam alignment using brute-force search introduces …
(mmWave) communication systems. Beam alignment using brute-force search introduces …
Deep learning for hierarchical beam alignment in mmWave communication systems
Fast and precise beam alignment is crucial to support high-quality data transmission in
millimeter wave (mmWave) communication systems. In this work, we propose a novel deep …
millimeter wave (mmWave) communication systems. In this work, we propose a novel deep …
Learning site-specific probing beams for fast mmWave beam alignment
Beam alignment–the process of finding an optimal directional beam pair–is a challenging
procedure crucial to millimeter wave (mmWave) communication systems. We propose a …
procedure crucial to millimeter wave (mmWave) communication systems. We propose a …