Generalized Symbol Sequence Modulation

IF 1.5 4区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Abdulrahman Faris, Peter Akuon, Vitalice Oduol Kalecha
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引用次数: 0

Abstract

In this paper, we present a modulation scheme called generalized symbol sequence modulation (GSSM), which incorporates multiple symbol sequence modulation mappers. In GSSM, additional information is conveyed through symbol sequences from different symbol constellations to increase data rates. In order to convey information, the sequence of symbols is used in three time slots; therefore, a single antenna can convey at least four bits. Unlike spatial modulation (SM), GSSM conveys information over fading and non-fading channels. The performance of the GSSM system has been validated through bit error rate (BER) simulations and theoretical framework based on various receiving antennas and fading channels. Furthermore, in terms of secrecy rate, it is superior to conventional single input, multiple output systems (SIMO), space shift keying (SSK), and symbol sequence modulation (SSM). Also, GSSM has shown a reduction in receiver computational complexity when compared to SM at the same bit rate. BER results are presented for non-fading, fading, correlated, and non-correlated scenarios, under GSSM.

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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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