Wanchen Hu

Environment-Aware Diffusion Model for Massive MIMO-OFDM Channel Estimation

Wanchen Hu, Jie Yang, Yi Song, Jun Xia et autres

This paper proposes an environment-aware diffusion based channel estimation in massive multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) systems. The high dimensionality of massive MIMO channels combined with limited pilot resources makes accurate estimation challenging. To address this issue, we exploit the …

Spectral-Efficient MIMO-OFDM: Low-Complexity Solution based on Random Multiplexing

Jie Yang, Wanchen Hu, Yi Song, Shuangyang Li et autres

This paper presents a low-complexity precoded MIMO-OFDM system for achieving improved spectral efficiency (SE) via intentionally compressing information symbols among subcarriers. Particularly, the proposed scheme leverages the powerful random multiplexing mechanism for precoding, and adopts the linear-complexity orthogonal approximate message passing (OAMP) …

Surface Charge Dependent Foliar Applied Silicon Quantum Dots Enhance Soybean Salt Tolerance Through Leaf‐Root‐Microbial Responses

Zhidi Chen, Yunqian Liu, Tianxing Shi, Han Sun et autres

ABSTRACT Here, we evaluated foliar‐applied silicon quantum dots (SiQDs) with different surface charges on soybean salt tolerance. Positively charged SiQDs (P‐SiQDs) exhibited stronger foliar retention and penetration than negatively charged SiQDs (N‐SiQDs), resulting in a 35.3% higher silicon accumulation in leaves. Under …

cn (code pays fourni par la source)

Complexity-Scalable Near-Optimal Transceiver Design for Massive MIMO-BICM Systems

Jie Yang, Wanchen Hu, Yi Jiang, Shuangyang Li et autres

cn, de, au (code pays fourni par la source)

Communication-Centric ISAC Based on Zak-OTFS: A Novel Backpropagation Algorithm for Delay-Doppler Sensing

Wanchen Hu, Jie Yang, Shuangyang Li, Zhu Y et autres

In this paper, we investigate delay-Doppler (DD) sensing in a communication-centric integrated sensing and communication (ISAC) framework based on Zak transform-based orthogonal time frequency space (Zak-OTFS) modulation. Specifically, we consider target sensing with communication waveforms and propose a novel backpropagation (BP) algorithm …

cn, de (code pays fourni par la source)

Large Language Models for Beam Prediction Under the mmWave Massive MIMO Hybrid-Field Channels

Jie Yang, Wanchen Hu, Shitong Bai, Shuangyang Li et autres

Millimeter-wave (mmWave) technology is a key enabling technology for next-generation wireless communications. However, beam prediction (BP) in millimeter-wave massive multiple-input multiple-output (MIMO) systems is challenging in high mobility scenarios, especially in non-stationary time-varying hybrid-field channels. In this case, the number of multi …

cn, de, us (code pays fourni par la source)

Novel Backpropagation Algorithm for Delay-Doppler Sensing based on Zak-OTFS

Wanchen Hu, Shuangyang Li, Weijie Yuan, Yu Zhu et autres

cn, de (code pays fourni par la source)

Complexity-Scalable Near-Optimal Transceiver Design for MIMO-BICM Systems with Ill-Conditioned Channel Matrix

Jie Yang, Wanchen Hu, Shuangyang Li, Yue Jiang et autres

Massive multiple-input multiple-output (MIMO) systems are envisioned to play a pivotal role in next-generation wireless systems, where the associated channel matrix is often highly ill-conditioned. To mitigate the potential performance degradation caused by such ill-conditioned channel matrices, in this paper, we propose …

cn, de, au (code pays fourni par la source)

Data-Assisted Channel Estimation and Prediction Using CRB-KF for mmWave Communications

Xin Liang, Wanchen Hu, Yi Jiang, Yu Min Zhu

This paper proposes a novel channel estimation and prediction framework for millimeter-wave (mmWave) communications. For time-invariant channels, we develop the fast Fourier transform - gradient descent (FFT-GD) algorithm, leveraging the channel sparsity to efficiently estimate the parameters, including the angles-of-arrival (AoAs) and …

cn (code pays fourni par la source)

Parametric MIMO-OFDM Channel Estimation: A Quasi Neural Network Approach

Wanchen Hu, Jie Yang, Xin Liang, Rong Ran et autres

This paper presents a quasi-neural network (Quasi-NN) approach for parametric channel estimation in multi-input multi-output orthogonal frequency division multiplexing (MIMO-OFDM) systems. A unified Quasi-NN framework is proposed for both the single-user (SU) and the multi-user (MU) scenarios, enabling the joint estimation of …

cn, kr (code pays fourni par la source)

Phase rotated uniform channel decomposition for MIMO-OFDM communications

Wanchen Hu, Yi Jiang

cn (code pays fourni par la source)

Complexity-Scalable Near-Optimal Transceiver Design for Massive MIMO-BICM Systems

Jie Yang, Wanchen Hu, Yi Jiang, Yonghui Li et autres

Future wireless networks are envisioned to employ multiple-input multiple-output (MIMO) transmissions with large array sizes, and therefore, the adoption of complexity-scalable transceiver becomes important. In this paper, we propose a novel complexity-scalable transceiver design for MIMO systems exploiting bit-interleaved coded modulation (termed …