Work

Improved Low-Complexity, Pilot-Based Channel Estimation for Large Intelligent Surface Systems

Year: 2025

Type: article

Abstract: In Large Intelligent Surface (LIS) systems, achieving accurate channel estimation is essential for enhancing communication quality and system efficiency. The main focus of this study is on using the Least Squares (LS) method to estimate pilot-based channels. It also looks at more advanced methods, like using low-density parity-check (LDPC) codes, antenna selection, and optimized pilot design, to make the method more accurate and effective. We employ orthogonal pilot sequences to reduce signal interference and improve pilot power to enhance estimation performance. Additionally, LDPC codes play a crucial role in eliminating noise and interference effects, thereby improving system reliability. We also propose selective configurations of LIS antennas to balance high performance with reduced computational costs. Collectively, these strategies lead to a significant reduction in the Bit Error Rate (BER) and a remarkable improvement in the overall system performance, offering a practical solution for complex LIS deployments.

Source: Applied Sciences

DOI: 10.3390/app15073743

Authors: Ali Gashtasbi, Mário Marques da Silva, Rui Dinis

Institutions: Universidade Nova de Lisboa, Autonomous University of Lisbon, Instituto de Telecomunicações, Centro de Investigação em Cidades Inteligentes

Language: English

Topic: Advanced Wireless Communication Technologies

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $2,896