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

Gashtasbi, Ali; Silva, Mário Marques da; Dinis, Rui

http://hdl.handle.net/10362/184235

Utilize este identificador para referenciar este registo.

Nome:	Descrição:	Tamanho:	Formato:
_Eds._2025_..pdf		2.91 MB	Adobe PDF	Ver/Abrir

Contacte-nos

Autores

Gashtasbi, Ali

Silva, Mário Marques da

Dinis, Rui

Resumo(s)

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.

Descrição

Funding Information: This work was funded by FCT/MCTES through national funds and, where applicable, co-funded EU funds under the projects UIDB/EEA/50008/2020 and 2022.03897. PTDC. Publisher Copyright: © 2025 by the authors.

Palavras-chave

Channel estimation Complexity LDPC LIS LS SC-FDE General Materials Science Instrumentation General Engineering Process Chemistry and Technology Computer Science Applications Fluid Flow and Transfer Processes