Paper Info
Title
Simplified Method for Log-Likelihood Ratio Approximation in High-Order Modulations Based on the Voronoi Decomposition.
Abstract
In modern communication systems, high-order modulation schemes have been widely employed to improve the spectral efficiency. In this context, soft decision methods are usually preferred, due to their superior performance over hard decisions. Soft decoders use metrics such as the log-likelihood ratios (LLRs) to measure the reliability of their decisions. Typically, the complexity of the exact channel LLR calculation increases exponentially with the modulation order of the system. The most well-known LLR approximation, the Max-Log-MAP symbol-to-bit demapper, still demands a large number of operations. In this paper, we present a novel simplified scheme that greatly reduces the complexity of the LLR demapper at high-order PSK and APSK modulations compared to the Max-Log-MAP soft-demapper. Moreover, it is shown that the proposed method has a negligible overall system performance loss compared to the same method.
Year
DOI
Venue
2017
10.1109/TBC.2017.2704424
TBC
Keywords
Field
DocType
Complexity theory,Mathematical model,Decoding,Parity check codes,Phase shift keying,Hardware
Modulation order,Likelihood-ratio test,Computer science,Amplitude and phase-shift keying,Communications system,Electronic engineering,Spectral efficiency,Decoding methods,Phase-shift keying,Modulation (music)
Journal
Volume
Issue
ISSN
63
3
0018-9316
Citations 
PageRank 
References 
3
0.41
8
Authors
3
Name
Order
Citations
PageRank
Vanessa B. Olivatto130.41
Renato R. Lopes2688.49
Eduardo R. de Lima353.26