A tutorial on environment-aware communications via channel knowledge map for 6G
Sixth-generation (6G) mobile communication networks are expected to have dense
infrastructures, large antenna size, wide bandwidth, cost-effective hardware, diversified …
infrastructures, large antenna size, wide bandwidth, cost-effective hardware, diversified …
A review on machine learning and deep learning for various antenna design applications
The next generation of wireless communication networks will rely heavily on machine
learning and deep learning. In comparison to traditional ground-based systems, the …
learning and deep learning. In comparison to traditional ground-based systems, the …
An efficient specific emitter identification method based on complex-valued neural networks and network compression
Specific emitter identification (SEI) is a promising technology to discriminate the individual
emitter and enhance the security of various wireless communication systems. SEI is …
emitter and enhance the security of various wireless communication systems. SEI is …
Deep learning for channel estimation: Interpretation, performance, and comparison
Deep learning (DL) has emerged as an effective tool for channel estimation in wireless
communication systems, especially under some imperfect environments. However, even …
communication systems, especially under some imperfect environments. However, even …
Multi-resolution CSI feedback with deep learning in massive MIMO system
In massive multiple-input multiple-output (MIMO) system, user equipment (UE) needs to
send downlink channel state information (CSI) back to base station (BS). However, the …
send downlink channel state information (CSI) back to base station (BS). However, the …
Deep transfer learning-based downlink channel prediction for FDD massive MIMO systems
Artificial intelligence (AI) based downlink channel state information (CSI) prediction for
frequency division duplexing (FDD) massive multiple-input multiple-output (MIMO) systems …
frequency division duplexing (FDD) massive multiple-input multiple-output (MIMO) systems …
Artificial intelligence for 5G and beyond 5G: Implementations, algorithms, and optimizations
The communication industry is rapidly advancing towards 5G and beyond 5G (B5G) wireless
technologies in order to fulfill the ever-growing needs for higher data rates and improved …
technologies in order to fulfill the ever-growing needs for higher data rates and improved …
Deep learning optimized sparse antenna activation for reconfigurable intelligent surface assisted communication
Reconfigurable intelligent surface (RIS) is a revolutionary technology for achieving high rate
and large coverage in future wireless networks by smartly reflecting the signals with …
and large coverage in future wireless networks by smartly reflecting the signals with …
TransNet: Full attention network for CSI feedback in FDD massive MIMO system
Y Cui, A Guo, C Song - IEEE Wireless Communications Letters, 2022 - ieeexplore.ieee.org
Channel state information (CSI) is a key aspect of massive multi-input multi-output (MIMO)
system. It depicts important properties of transmission channels such as scattering, fading …
system. It depicts important properties of transmission channels such as scattering, fading …
[HTML][HTML] Pervasive intelligent endogenous 6G wireless systems: Prospects, theories and key technologies
The worldwide large-scale commercial deployment of 5G has commenced in 2020 for
supporting enhanced Mobile BroadBand (eMBB), ultra-Reliable and Low-Latency …
supporting enhanced Mobile BroadBand (eMBB), ultra-Reliable and Low-Latency …