NDLI: Performance analysis of a low-complexity MAP algorithm for automatic modulation classification in adaptive OFDM systems

Content Provider	IET Digital Library
Author	Bahrani, Sima Derakhtian, Mostafa Zolghadrasli, Alireza
Abstract	Automatic modulation classification (AMC) techniques enable the estimation of the bit allocation table in adaptive orthogonal frequency division multiplexing (OFDM) systems. In this study, the authors investigate the classification performance of a low-complexity maximum-a-posteriori (MAP) algorithm for AMC. Also, they derive an approximation of the probability of classification error in a subcarrier for this classifier. Furthermore, based on these theoretical derivations, a novel modified rate adaptive (RA) bit loading algorithm with additional classification error constraint is proposed. Numerical results show that the authors’ proposed method outperforms the RA algorithm significantly in terms of classification performance, while providing reasonable data throughput specifically at higher signal-to-noise ratios.
Starting Page	2363
Ending Page	2371
Page Count	9
ISSN	17518628
Volume Number	10
e-ISSN	17518636
Issue Number	Issue 17, Nov (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-com/10/17
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-com.2015.0768
Journal	IET Communications
Publisher Date	2016-11-24
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Adaptive Modulation Adaptive OFDM System AMC Technique Automatic Modulation Classification Technique Bit Allocation Table Estimation Low-complexity MAP Algorithm Low-complexity Maximum-a-posteriori Algorithm Maximum Likelihood Estimation Modified Rate Adaptive Bit Loading Algorithm Modulation And Coding Method OFDM Modulation Orthogonal Frequency Division Multiplexing System Probability RA Bit Loading Algorithm Signal to Noise Ratio Statistics
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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