Detection Strategies for MIMO-GFDM-IM System

IF 1.5 4区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
José Luis Calpa Juajinoy, João Cal-Braz, Raimundo Sampaio-Neto
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引用次数: 0

Abstract

This paper is dedicated to the study of the multiple-input multiple-output generalized frequency division multiplexing with index modulation (MIMO-GFDM-IM) wireless communication system. This system garners significant interest for future communications technologies due to its notable features, such as high spectral efficiency, energy efficiency, and robustness against multipath propagation channels. Preceding the study of the system, the model of signals and systems for MIMO-GFDM is developed based on the MIMO orthogonal frequency division multiplexing model and detection strategies for the system are presented. A new proposal for MIMO-GFDM detection, based on two filtering phases, is presented, resulting in an attractive tradeoff between detection performance and computational complexity. The presented system model is then extended to include index modulation as an information carrier, resulting in the MIMO-GFDM-IM system. Different proposals for detectors based on processing the complete channel matrix and also for detectors of reduced complexity are evaluated, from the perspective of detection performance and computational complexity.

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来源期刊
IET Communications
IET Communications 工程技术-工程:电子与电气
CiteScore
4.30
自引率
6.20%
发文量
220
审稿时长
5.9 months
期刊介绍: IET Communications covers the fundamental and generic research for a better understanding of communication technologies to harness the signals for better performing communication systems using various wired and/or wireless media. This Journal is particularly interested in research papers reporting novel solutions to the dominating problems of noise, interference, timing and errors for reduction systems deficiencies such as wasting scarce resources such as spectra, energy and bandwidth. Topics include, but are not limited to: Coding and Communication Theory; Modulation and Signal Design; Wired, Wireless and Optical Communication; Communication System Special Issues. Current Call for Papers: Cognitive and AI-enabled Wireless and Mobile - https://digital-library.theiet.org/files/IET_COM_CFP_CAWM.pdf UAV-Enabled Mobile Edge Computing - https://digital-library.theiet.org/files/IET_COM_CFP_UAV.pdf
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