Serial concatenation of quadratic interleaved codes in different wireless doppler environments

Abstract

Abstract-The remarkable development of mobile networks has enabled ubiquitous communications that has transformed the way people connect with each other. Meanwhile, the growing adoption of smartphones, tablets, and increasingly bandwidthintensive applications and services is driving unprecedented mobile broadband traffic growth; therefore, finding state-of-theart strategies for improving the wireless transmission reliability has emerged significantly. In particular, to enable significant mitigation of the detrimental effects of multipath fading, highperformance forward error correction (FEC) techniques have now recognized to become a vital part of modern digital wireless systems. This work is dedicated to address a class of highperformance iteratively decoded FECs referred to as serial concatenation of quadratic interleaved codes (SCQICs) wherein the reordering arrays for permutor and unscramble in the FEC encoding/decoding entities enjoy the remarkable algorithm proposed by Takeshita et al. seminal contribution which: (1) yields provisioning coding gain in both waterfall and error-floor regions of the bit error rate (BER) performance curve (2) enables possibility of analysis and compact representation, (3) requires straightforward implementation. We have observed that their utilization for the modern wireless communications applications remained scarce due to the lack of strong and comprehensive performance predictions over the different statistical wireless channel models. Hence, in this paper, we endeavor to analyze and examine the error-correction capability of SCQICs vastly from the various aspects, and investigate their resultant coding gains in different wireless Doppler environments.

Space‐time QAM wireless MISO systems employing differentially coded in‐/out‐FECC SCQICs over slow‐fading Jakes scattering mobile radio links

“…It has been previously shown that serial turbo‐like codes employing the quadratic permutations (QPs), that is, the serial concatenation of quadratic interleaved codes (SCQICs), result in outstanding coding gains [3–6]. This paper aims to supplement and extend the pivotal system design guidelines of our previous works in order to achieve a flexible SCQIC framework in terms of other crucial contradictory performance factors, so as to address the proposed SCQICs in cooperation with the highly matured technologies (e.g.…”

“…The selected half‐rate outer SRCC trellis structures for r ≤ 0.33 and L ≤ 5 are tabulated in Table 1. The interleaver applies the QP on the bit sequences obtained from the previous step, which is originally proposed in [12, 13] and further developed for serial turbo‐like codes in [3–6]. Let x oc.…”

“…The DD bit stream inserted into the system SCQIC decoder for recovering the transmitted bits follows near‐ML iterative decoding procedure developed for the SCQICs in [6]. Herein, constituent decoders corresponding to SRCC trellis structures iteratively exchange extrinsic information between themselves at the core of the SCQIC iterative decoder architecture.…”

“…Herein, constituent decoders corresponding to SRCC trellis structures iteratively exchange extrinsic information between themselves at the core of the SCQIC iterative decoder architecture. The targeted investigations have been systematically carried out based on the Log‐ maximum a posteriori (MAP) decoders [8], but the effects of using other decoders for SCQICs are addressed in [6]. For necessary deinterleaving at the decoder architecture, the re‐arranged QP feature will be more exploited in Section 4; wherein the samples of the bit streams are scrambled and unscrambled.…”

“…Invoking the central limit theorem, we can assume that power from one direction is complex Gaussian distributed. In addition, the technical issues related to the intended stochastic multiple antenna channel modelling tackles the same procedure as given in [2, 6].…”