DocumentCode
145124
Title
Analysis the Throughput of Type-I Hybrid ARQ Protocol Using t-AEC/AAED over the m (=2)-ary Varshamov Channel
Author
Elmougy, Samir ; Pezza, Laura ; Tallini, Luca G. ; Al-Dhelaan, Abdullah
Author_Institution
Dept. of Comput. Sci., King Saud Univ., Riyadh, Saudi Arabia
Volume
1
fYear
2014
fDate
10-13 March 2014
Firstpage
21
Lastpage
27
Abstract
In many communication media, optical systems, and some VLSI systems, only one errors type, either 0 → 1 or 1 → 0, can occur in any data word and the decoder knows a priori the error type. These types of errors are called asymmetric errors. Asymmetric Varshamov channels could be used to model some physical systems such as multilevel flash memories where there is an exponential behaviour in the real distance between the sent and received symbols and so, the number of errors between these symbols should be measured according to the L1 distance. In this paper, we introduce a Varshamov error model for the general m(≥2)-ary Z-Channel with taking into account the error magnitude, but with concerning to the asymmetric case. Also, we analyze the throughput performance for Type-I selective-repeat hybrid ARQ protocols using t-Error-Correcting/All Asymmetric Error Detecting (t-AEC/AAED) codes over a noticeable Varshamov error model for the general Z-Channel.
Keywords
VLSI; automatic repeat request; error correction codes; error detection codes; flash memories; VLSI systems; Z-channel; all asymmetric error detecting codes; asymmetric Varshamov channels; asymmetric errors; communication media; error magnitude; m (≥2)-ary Varshamov channel; multilevel flash memories; optical systems; t-AEC-AAED codes; t-error-correcting codes; throughput performance; type-I selective-repeat hybrid ARQ protocols; Automatic repeat request; Forward error correction; Optical transmitters; Protocols; Receivers; Throughput; ARQ protocols; asymmetric Varshamov channel; asymmetric errors; multilevel flash memories; optical communication;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Science and Computational Intelligence (CSCI), 2014 International Conference on
Conference_Location
Las Vegas, NV
Type
conf
DOI
10.1109/CSCI.2014.12
Filename
6822078
Link To Document