On the Performance of LDPC-Coded Large Intelligent Antenna System-Reference-Cited by-同舟云学术

On the Performance of LDPC-Coded Large Intelligent Antenna System

Published:2023-04-10 Issue:8 Volume:13 Page:4738
ISSN:2076-3417
Container-title:Applied Sciences
language:en
Short-container-title:Applied Sciences

Author:

Gashtasbi Ali¹,da Silva Mário Marques²³⁴⁵^ORCID,Dinis Rui¹³⁴^ORCID,Guerreiro João¹³⁴^ORCID

Affiliation:

1. Faculty of Sciences and Technology, Universidade Nova, 2829-516 Caparica, Portugal

2. Department of Engineering and Computer Sciences, Universidade Autónoma de Lisboa, 1169-023 Lisboa, Portugal

3. Autonoma TechLab, 1169-023 Lisboa, Portugal

4. Instituto de Telecomunicações, 1049-001 Lisboa, Portugal

5. Ci2—Centro de Investigação em Cidades Inteligentes, 2300-313 Tomar, Portugal

Abstract

This article studies Large Intelligent Systems (LIS) along with Single Carrier with Frequency Domain Equalization (SC-FDE), utilizing Low-Density Parity-Check (LDPC). Four different receivers are studied in the scenarios described above, namely Equal Gain Combining (EGC), Maximum Ratio Combining (MRC), Zero Forcing (ZF), and Minimum Mean Squared Error (MMSE). The results of this article show that the use of LDPC codes leads to an improvement of performance by about 2 dB for a 4X25 LIS system and by 3 dB for a 4X225 LIS system, as compared to similar systems without LDPC codes. Moreover, for all simulations, the MMSE receiver achieves the best overall performance, while EGC performs the worst.

Funder

FCT/MCTES

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Link

https://www.mdpi.com/2076-3417/13/8/4738/pdf

Reference25 articles.

1. Communication Modes with Large Intelligent Surfaces in the Near Field;Decarli;IEEE Digit. Object Identifier,2021

2. Bjornson, E., Özlem, T., and Sanguinetti, L. (November, January 31). A primer on near-field beamforming for arrays and reconfigurable intelligent surfaces. Proceedings of the 2021 55th Asilomar Conference on Signals, Systems, and Computers (ACSSC), Pacific Grove, CA, USA.

3. Dajer, M., Ma, Z., Piazzi, L., Narayan, P., Qi, X., Sheen, B., Yang, J., and Yue, G. (2020). Reconfigurable Intelligent Surface: Design the Channel—A New Opportunity for Future Wireless Networks. arXiv.

4. Borger, D., Dinis, R., and Montezuma, P. (2016, January 7–9). An MRC-Based Receiver for SC_FDE Modulations with Massive MIMO Schemes. Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing (Global SIP), Washington, DC, USA.

5. A Low Complexity Channel Estimation and Detection for Massive MIMO using SC-FDE;Dinis;Telecom,2020

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