Deep learning-based downlink channel prediction for FDD massive MIMO system
In a frequency division duplexing (FDD) massive multiple-input multiple-output (MIMO)
system, the acquisition of downlink channel state information (CSI) at base station (BS) is a …
system, the acquisition of downlink channel state information (CSI) at base station (BS) is a …
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 …
CAnet: Uplink-aided downlink channel acquisition in FDD massive MIMO using deep learning
In frequency-division duplexing systems, the downlink channel state information (CSI)
acquisition scheme leads to high training and feedback overhead. In this work, we propose …
acquisition scheme leads to high training and feedback overhead. In this work, we propose …
CV-3DCNN: Complex-valued deep learning for CSI prediction in FDD massive MIMO systems
In beyond fifth-generation (B5G) era, massive multiple-input multiple-output (M-MIMO) will
be a key technology to offer higher network capacities. Due to the different frequency of …
be a key technology to offer higher network capacities. Due to the different frequency of …
Machine learning prediction based CSI acquisition for FDD massive MIMO downlink
In this paper, we propose a simple and efficient approach to reduce the overhead of
downlink channel estimation and feedback using linear regression (LR) and support vector …
downlink channel estimation and feedback using linear regression (LR) and support vector …
Compressive sampled CSI feedback method based on deep learning for FDD massive MIMO systems
Accurate downlink channel state information (CSI) is required to be fed back to the base
station (BS) in frequency division duplexing (FDD) massive multiple-input multiple-output …
station (BS) in frequency division duplexing (FDD) massive multiple-input multiple-output …
Downlink CSI feedback algorithm with deep transfer learning for FDD massive MIMO systems
In this paper, a channel state information (CSI) feedback method is proposed based on deep
transfer learning (DTL). The proposed method addresses the problem of high training cost of …
transfer learning (DTL). The proposed method addresses the problem of high training cost of …
Enabling FDD massive MIMO through deep learning-based channel prediction
A major obstacle for widespread deployment of frequency division duplex (FDD)-based
Massive multiple-input multiple-output (MIMO) communications is the large signaling …
Massive multiple-input multiple-output (MIMO) communications is the large signaling …
Lightweight convolutional neural networks for CSI feedback in massive MIMO
In frequency division duplex mode of massive multiple-input multiple-output systems, the
downlink channel state information (CSI) must be sent to the base station (BS) through a …
downlink channel state information (CSI) must be sent to the base station (BS) through a …
Compressed sensing-aided downlink channel training for FDD massive MIMO systems
There is much discussion in industry and academia about possible technical solutions to
address the growth in demand for wireless broadband. Massive multiple-input multiple …
address the growth in demand for wireless broadband. Massive multiple-input multiple …