[HTML][HTML] Application of reinforcement learning and deep learning in multiple-input and multiple-output (MIMO) systems
The current wireless communication infrastructure has to face exponential development in
mobile traffic size, which demands high data rate, reliability, and low latency. MIMO systems …
mobile traffic size, which demands high data rate, reliability, and low latency. MIMO systems …
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 …
Lightweight automatic modulation classification based on decentralized learning
Due to the implementation and performance limitations of centralized learning automatic
modulation classification (CentAMC) method, this paper proposes a decentralized learning …
modulation classification (CentAMC) method, this paper proposes a decentralized learning …
SALDR: Joint self-attention learning and dense refine for massive MIMO CSI feedback with multiple compression ratio
The advantages of massive multiple-input multiple-output (MIMO) techniques depend
heavily on the accuracy of channel state information (CSI). In frequency division duplexing …
heavily on the accuracy of channel state information (CSI). In frequency division duplexing …
Binary neural network aided CSI feedback in massive MIMO system
In massive multiple-input multiple-output (MIMO) system, channel state information (CSI) is
essential for the base station (BS) to achieve high performance gain. The CSI matrix needs …
essential for the base station (BS) to achieve high performance gain. The CSI matrix needs …
Adaptive lightweight CNN-based CSI feedback for massive MIMO systems
S Jo, J So - IEEE Wireless Communications Letters, 2021 - ieeexplore.ieee.org
Massive multiple-input multiple-output (MIMO) is one of the most promising technologies for
a user equipment (UE) to achieve a high data rate. However, massive MIMO requires …
a user equipment (UE) to achieve a high data rate. However, massive MIMO requires …
AI enlightens wireless communication: Analyses, solutions and opportunities on CSI feedback
H Xiao, Z Wang, W Tian, X Liu, W Liu… - China …, 2021 - ieeexplore.ieee.org
In this paper, we give a systematic description of the 1st Wireless Communication Artificial
Intelligence (AI) Competition (WAIC) which is hosted by IMT-2020 (5G) Promotion Group …
Intelligence (AI) Competition (WAIC) which is hosted by IMT-2020 (5G) Promotion Group …
Knowledge-distillation-aided lightweight neural network for massive MIMO CSI feedback
In massive multiple-input multiple-output (MIMO) systems, channel state information (CSI) is
required by the base station (BS) to achieve high-performance gains. In frequency division …
required by the base station (BS) to achieve high-performance gains. In frequency division …
ACCsiNet: Asymmetric convolution-based autoencoder framework for massive MIMO CSI feedback
B Cao, Y Yang, P Ran, D He… - IEEE Communications …, 2021 - ieeexplore.ieee.org
Channel state information (CSI) is a critical part for massive multiple-input multiple-output
(MIMO) system. However, it is a big challenge to send a large amount of CSI from the …
(MIMO) system. However, it is a big challenge to send a large amount of CSI from the …
Accuracy-aware compression of channel impulse responses using deep learning
Ultra-wideband (UWB) systems based on Channel State Information (CSI) estimate the
position of mobile nodes within an environment by using Channel Impulse Responses …
position of mobile nodes within an environment by using Channel Impulse Responses …