Searcharxiv⌕ Search
Home/Archive/arXiv

arXiv · 2610.12604

Low-Complexity Tensor-Based Channel Parameter Estimation for mmWave MIMO-Assisted Systems

Francisco I. T. Pires·Jean C. S. Ferreira·Fazal-E Asim
View original source ↗Read source document ↗Export metadata ↓

Abstract

This paper presents a low-complexity tensor-based channel estimation framework for downlink mmWave massive MIMO systems using passive Butler-matrix beamforming. By modeling received signals as a third-order PARAFAC tensor, we exploit known pilot structures via bilinear alternating least-squares (BALS) optimization to reduce computational overhead. The decoupled spatial factors are then processed via 1D and 2D ESPRIT to extract angles of arrival and departure with automatic pairing. Additionally, we derive the Cramer--Rao lower bound (CRLB) for this architecture. Simulations confirm the proposed estimator outperforms conventional least-squares, achieving accurate channel reconstruction and approaching the CRLB at moderate-to-high signal-to-noise ratios.

Explore related subjects

eess.SP

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Francisco I. T. Pires, Jean C. S. Ferreira, Fazal-E Asim. 2026-10-08. Low-Complexity Tensor-Based Channel Parameter Estimation for mmWave MIMO-Assisted Systems. https://arxiv.org/abs/2610.12604

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related papers

arXiv2026

Probability of Error Analysis for NOMA Systems in Rayleigh Fading Channels: Enabling IoT in Civil Engineering

In the realm of digital communication, understanding and mitigating the probability of error is crucial, particularly in Rayleigh fading channels where signal impairments are common. This paper presents a unified approach to derive the probability of error formulations for two-users NOMA systems operating in Rayleigh fading channels. The methodologies and findings outlined in this study are essential for IoT applications in construction and civil engineering. Specifically, the derived error probability formulations can be employed to enhance the reliability and efficiency of IoT-based monitoring systems in these sectors. By optimizing communication protocols, the proposed approach ensures accurate data transmission, thereby facilitating real-time monitoring and decision-making processes in construction sites and civil infrastructure projects.

eess.SP↗
arXiv2026

Hybrid Resource Allocation Scheme for Bistatic ISAC with Data Channels

Bistatic integrated sensing and communication (ISAC) enables efficient reuse of the existing cellular infrastructure and is likely to play an important role in future sensing networks. In this context, ISAC using the data channel is a promising approach to improve the bistatic sensing performance compared to relying solely on pilots. One of the challenges associated with this approach is resource allocation: the communication link aims to transmit higher modulation order (MO) symbols to maximize the throughput, whereas a lower MO is preferable for sensing to achieve a higher signal-to-noise ratio in the radar image. To address this conflict, this paper introduces a hybrid resource allocation scheme. By placing lower MO symbols as pseudo-pilots on a suitable sensing grid, we enhance the bistatic sensing performance while only slightly reducing the spectral efficiency of the communication link. Simulation results validate our approach against different baselines and provide practical insights into how decoding errors affect the sensing performance.

eess.SP↗
arXiv2026

An auscultation location specific study on the relationship between expiratory-to-inspiratory acoustic patterns and spirometric airflow limitation across age and gender in asthmatic patients

Asthma causes expiratory airflow limitation and is clinically assessed using spirometry, which provides the FEV1/FVC ratio representing the proportion of air exhaled in the first second relative to total forced vital capacity. Prior studies suggest that respiratory sounds recorded at posterior sites (Left Lower, Left Upper, Right Upper, Right Lower) reflect regional airflow patterns. In this study, we investigate the relationship between the expiratory-to-inspiratory (E/I) spectral power ratio and FEV1/FVC in 141 participants aged 20-60 years using Spearman correlation across frequency subbands. The 100-200 Hz and 200-400 Hz bands showed significant correlations. Overall, lower posterior sites showed stronger associations; younger adults showed stronger correlations at the Left Lower site, whereas older adults showed stronger correlations at the Left Upper site. Gender-stratified analysis showed stronger Left Lower correlations in males and stronger Left Upper correlations in females.

eess.SP↗