Paper Info
Title
A fading-insensitive performance metric for a unified link quality model
Abstract
Link quality model is widely used in system evaluations to simplify the simulation complexity. It is also important in practical systems for improving the accuracy of the link adaptation and the efficiency of radio-resource-management. Conventional linear average SNR characterization of fading channel performance lacks generality, since the same linear SNR value may lead to drastic block error rate differences in various fading channels. A unified metric is proposed in this paper for link performance characterization and quality modeling. This paper proposes a mutual-information-based (Mi-based) link quality model, which contains separate modulation and coding models. The modulation model maps the received SNR to the mutual information symbol by symbol. The coding model maps the sum or average of the mutual information to decoding performance for each coding block. The existing methods based on the effective signal-to-noise-ratio (SNR) of a multi-state channel have limited accuracy in the mixed modulation cases. Compared with the existing models, the Mi-model is simpler and easier to apply to mixed-modulation cases and different H-ARQ schemes. The simulation results verify the accuracy in different multi-state channels and give the comparison with the exponential effective-SNR-mapping (EESM) model
Year
DOI
Venue
2006
10.1109/WCNC.2006.1696622
WCNC
Keywords
Field
DocType
coding models,radio links,exponential effective-snr-mapping,decoding performance,information rates,communication systems,error analysis,fading channels,h-arq schemes,fading channel,channel coding,radio-resource-management,block error rate,unified link quality model,telecommunication network management,automatic repeat request,fading-insensitive performance metric,mutual-information,modeling,error statistics,decoding,ofdm,signal-to-noise-ratio,awgn,model error,measurement,radio resource management,link adaptation,mutual information,communication system,statistics,error rate,signal to noise ratio,fading,information rate
Link adaptation,Block Error Rate,Telecommunications,Computer science,Fading,Performance metric,Algorithm,Communication channel,Real-time computing,Coding (social sciences),Mutual information,Decoding methods
Conference
Volume
Issue
ISSN
4
null
1525-3511 E-ISBN : 1-4244-0270-0
ISBN
Citations 
PageRank 
1-4244-0270-0
85
7.17
References 
Authors
0
3
Name
Order
Citations
PageRank
Lei Wan115730.34
Shiauhe Tsai210811.38
Magnus Almgren327039.17