Big AI models for 6G wireless networks: Opportunities, challenges, and research directions
Recently, big artificial intelligence (AI) models represented by chatGPT have brought an
incredible revolution. With the pre-trained big AI model (BAIM) in certain fields, numerous …
incredible revolution. With the pre-trained big AI model (BAIM) in certain fields, numerous …
A learnable optimization and regularization approach to massive MIMO CSI feedback
Channel state information (CSI) plays a critical role in achieving the potential benefits of
massive multiple input multiple output (MIMO) systems. In frequency division duplex (FDD) …
massive multiple input multiple output (MIMO) systems. In frequency division duplex (FDD) …
Channel knowledge map (CKM)-assisted multi-UAV wireless network: CKM construction and UAV placement
Channel knowledge map (CKM) has recently emerged as a viable new solution to facilitate
the placement and trajectory optimization for unmanned aerial vehicle (UAV) …
the placement and trajectory optimization for unmanned aerial vehicle (UAV) …
From Data-driven Learning to Physics-inspired Inferring: A Novel Mobile MIMO Channel Prediction Scheme Based on Neural ODE
In this paper, we propose an innovative learning-based channel prediction scheme so as to
achieve higher prediction accuracy and reduce the requirements of huge amounts and strict …
achieve higher prediction accuracy and reduce the requirements of huge amounts and strict …
Channel Deduction: A New Learning Framework to Acquire Channel from Outdated Samples and Coarse Estimate
How to reduce the pilot overhead required for channel estimation? How to deal with the
channel dynamic changes and error propagation in channel prediction? To jointly address …
channel dynamic changes and error propagation in channel prediction? To jointly address …
CSI of each subcarrier is a fingerprint: Multi-carrier cumulative learning based positioning in massive MIMO systems
Viewing channel state information (CSI) as a fingerprint to infer user position is a promising
technology. Recently, with the help of deep learning (DL) methods, the performance of CSI …
technology. Recently, with the help of deep learning (DL) methods, the performance of CSI …
Lightweight Differential Frameworks for CSI Feedback in Time-Varying Massive MIMO Systems
Y Zhang, X Zhang, Y Liu - IEEE Transactions on Vehicular …, 2023 - ieeexplore.ieee.org
Channel state information (CSI) is vital for massive multiple-input multiple-output (MIMO)
systems to provide high channel capacity and energy efficiency. However, the massive …
systems to provide high channel capacity and energy efficiency. However, the massive …
MIMO Channel as a Neural Function: Implicit Neural Representations for Extreme CSI Compression in Massive MIMO Systems
Acquiring and utilizing accurate channel state information (CSI) can significantly improve
transmission performance, thereby holding a crucial role in realizing the potential …
transmission performance, thereby holding a crucial role in realizing the potential …
E2ENet: An End-to-End Channel Prediction Neural Network Based on Uplink Pilot for FDD Systems
In the frequency division duplex mode, the limited reciprocity between uplink and downlink
channels presents a significant challenge for the base station to obtain downlink channel …
channels presents a significant challenge for the base station to obtain downlink channel …
Channel Mapping Based on Interleaved Learning with Complex-Domain MLP-Mixer
In multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM)
systems, representing the whole channel only based on partial subchannels will significantly …
systems, representing the whole channel only based on partial subchannels will significantly …