Abstract

We are living in the world of handheld smart devices including smart phones, mini computers, tablets, net-books and others communication devices. The telecommunication standards used in these devices includes error correction codes which are integral part of current and future communication systems. To achieve the higher data rate applications, the turbo and Low Density Parity Check (LDPC) codes are decoded on parallel architecture which in turn raises the memory conflict issue. In order to get the good performance, the simultaneous access to the entire memory bank should be performed without any conflict. In this article we present breadth first technique applied on transportation modeling of the problem for solving the collision issue of Turbo decoders in order to get optimized architecture solution.

Highlights

  • The error correction codes are divided into two main categories, i.e., convolutional and block codes

  • One advantage of convolution over block is the maximum likelihood soft decision decoding which is used to decode the data whereas block codes in contrast are hard decision decoded

  • Due to the best error correcting capabilities the turbo codes are included in telecommunication standards such as Long Term Evolution (LTE) [1]

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Summary

Introduction

The error correction codes are divided into two main categories, i.e., convolutional and block codes. Turbo codes belong to the class of convolutional codes. One advantage of convolution over block is the maximum likelihood soft decision decoding which is used to decode the data whereas block codes in contrast are hard decision decoded. Due to the best error correcting capabilities the turbo codes are included in telecommunication standards such as Long Term Evolution (LTE) [1]. The soft decision decoding provides an advantage of reliability at each input data points and better performance as well. The purpose of an interleaver is to arrange the data bits before they are being input to the 2nd encoder. The two encoder output will be uncorrelated from each other because of the interleaver

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