Deep learning‐based channel estimation for OFDM‐IM systems over Rayleigh fading channels

IF 1.7 4区计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC

International Journal of Communication Systems Pub Date : 2024-08-08 DOI:10.1002/dac.5944

Omer Adiguzel, I. Develi

引用次数: 0

Abstract

Deep learning (DL)‐based channel estimation for orthogonal frequency division multiplexing with index modulation (OFDM‐IM) under Rayleigh fading channel conditions is presented in this paper. A deep neural network (DNN) is utilized to estimate the channel response in simulations. The proposed DNN is trained using the channel coefficient derived through the least squares (LS) method. Then channel estimation is conducted using the trained DNN. Within the DNN, the long short‐term memory (LSTM) layer is included as the hidden layer. Different scenarios are handled in simulations and the proposed DNN is compared with traditional channel estimation methods. The simulations demonstrate that the DL‐based channel estimation significantly surpasses the LS and minimum mean‐square error (MMSE) techniques.

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基于深度学习的瑞利衰减信道上 OFDM-IM 系统信道估计

本文介绍了在瑞利衰落信道条件下，基于深度学习（DL）的正交频分复用索引调制（OFDM-IM）信道估计。在仿真中利用深度神经网络（DNN）来估计信道响应。提出的 DNN 使用通过最小二乘法 (LS) 得出的信道系数进行训练。然后利用训练好的 DNN 进行信道估计。在 DNN 中，长短期记忆（LSTM）层被列为隐藏层。在模拟中处理了不同的场景，并将提出的 DNN 与传统信道估计方法进行了比较。仿真结果表明，基于 DL 的信道估计明显优于 LS 和最小均方误差 (MMSE) 技术。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Communication Systems 工程技术-电信学

CiteScore

5.90

自引率

9.50%

发文量

323

审稿时长

7.9 months

期刊介绍： The International Journal of Communication Systems provides a forum for R&D, open to researchers from all types of institutions and organisations worldwide, aimed at the increasingly important area of communication technology. The Journal''s emphasis is particularly on the issues impacting behaviour at the system, service and management levels. Published twelve times a year, it provides coverage of advances that have a significant potential to impact the immense technical and commercial opportunities in the communications sector. The International Journal of Communication Systems strives to select a balance of contributions that promotes technical innovation allied to practical relevance across the range of system types and issues. The Journal addresses both public communication systems (Telecommunication, mobile, Internet, and Cable TV) and private systems (Intranets, enterprise networks, LANs, MANs, WANs). The following key areas and issues are regularly covered: -Transmission/Switching/Distribution technologies (ATM, SDH, TCP/IP, routers, DSL, cable modems, VoD, VoIP, WDM, etc.) -System control, network/service management -Network and Internet protocols and standards -Client-server, distributed and Web-based communication systems -Broadband and multimedia systems and applications, with a focus on increased service variety and interactivity -Trials of advanced systems and services; their implementation and evaluation -Novel concepts and improvements in technique; their theoretical basis and performance analysis using measurement/testing, modelling and simulation -Performance evaluation issues and methods.