A robust noise power and SNR estimator for MCIK OFDM systems over-generalised α-μfading channel with imperfect CSI

IF 3 3区计算机科学 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC

Aeu-International Journal of Electronics and Communications Pub Date : 2025-03-13 DOI:10.1016/j.aeue.2025.155763

Bandi Narasimha Rao, Anuradha Sundru

{"title":"A robust noise power and SNR estimator for MCIK OFDM systems over-generalised α-μfading channel with imperfect CSI","authors":"Bandi Narasimha Rao, Anuradha Sundru","doi":"10.1016/j.aeue.2025.155763","DOIUrl":null,"url":null,"abstract":"<div><div>Estimating the noise power and signal-to-noise ratio (SNR) are the core issues in any communication system. This paper introduces a novel algorithm to calculate the noise power and SNR for multi-carrier index keying (MCIK)-based orthogonal frequency division multiplexing (OFDM) systems operating over a generalised <span><math><mi>α</mi></math></span>-<span><math><mi>μ</mi></math></span> fading channel. The impact of imperfect channel state information (CSI) uncertainty on the performance of the proposed estimator is investigated. An efficient algorithm is introduced on the transmitter side to transmit the nulled subcarriers effectively. Similarly, another effective algorithm is developed at the receiver side to identify the position of transmitted nulled subcarriers, as these positions are not fixed in the MCIK OFDM system. The average SNR, along with the average noise power is determined. The proposed estimator’s performance is compared with the Preamble, Boumard, Ren’s, Pilot, MMSE, CAZAC, and correlation-based CP-less estimators of OFDM systems. Additionally, the performance is also analysed using mean square error (MSE). The proposed estimator significantly improves spectral efficiency (SE) and energy efficiency (EE). It also achieves lower MSE over the existing estimators.</div></div>","PeriodicalId":50844,"journal":{"name":"Aeu-International Journal of Electronics and Communications","volume":"194 ","pages":"Article 155763"},"PeriodicalIF":3.0000,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Aeu-International Journal of Electronics and Communications","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1434841125001049","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}

引用次数: 0

Abstract

Estimating the noise power and signal-to-noise ratio (SNR) are the core issues in any communication system. This paper introduces a novel algorithm to calculate the noise power and SNR for multi-carrier index keying (MCIK)-based orthogonal frequency division multiplexing (OFDM) systems operating over a generalised

α

μ

fading channel. The impact of imperfect channel state information (CSI) uncertainty on the performance of the proposed estimator is investigated. An efficient algorithm is introduced on the transmitter side to transmit the nulled subcarriers effectively. Similarly, another effective algorithm is developed at the receiver side to identify the position of transmitted nulled subcarriers, as these positions are not fixed in the MCIK OFDM system. The average SNR, along with the average noise power is determined. The proposed estimator’s performance is compared with the Preamble, Boumard, Ren’s, Pilot, MMSE, CAZAC, and correlation-based CP-less estimators of OFDM systems. Additionally, the performance is also analysed using mean square error (MSE). The proposed estimator significantly improves spectral efficiency (SE) and energy efficiency (EE). It also achieves lower MSE over the existing estimators.

查看原文本刊更多论文

针对非完美CSI下的广义α-μ衰落信道的MCIK OFDM系统的鲁棒噪声功率和信噪比估计

噪声功率和信噪比的估计是通信系统的核心问题。介绍了在广义α-μ衰落信道上基于多载波索引键控（MCIK）的正交频分复用（OFDM）系统噪声功率和信噪比的计算方法。研究了不完全信道状态信息（CSI）不确定性对该估计器性能的影响。在发射端引入了一种有效的算法来有效地传输空子载波。同样，在接收端开发了另一种有效的算法来识别发射的空子载波的位置，因为这些位置在MCIK OFDM系统中不是固定的。确定了平均信噪比和平均噪声功率。将该估计器的性能与OFDM系统的Preamble、Boumard、Ren’s、Pilot、MMSE、CAZAC和基于相关的无cp估计器进行了比较。此外，还使用均方误差（MSE）分析了性能。该估计器显著提高了频谱效率（SE）和能量效率（EE）。它还实现了比现有估计器更低的MSE。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Aeu-International Journal of Electronics and Communications 工程技术-电信学

CiteScore

6.90

自引率

18.80%

发文量

292

审稿时长

4.9 months

期刊介绍： AEÜ is an international scientific journal which publishes both original works and invited tutorials. The journal''s scope covers all aspects of theory and design of circuits, systems and devices for electronics, signal processing, and communication, including: signal and system theory, digital signal processing network theory and circuit design information theory, communication theory and techniques, modulation, source and channel coding switching theory and techniques, communication protocols optical communications microwave theory and techniques, radar, sonar antennas, wave propagation AEÜ publishes full papers and letters with very short turn around time but a high standard review process. Review cycles are typically finished within twelve weeks by application of modern electronic communication facilities.