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Permutation Polynomials Interleavers: An AlgebraicGeometric Perspective, (2007)

by Y O Takeshita
Venue:IEEE Trans. Inf. Theory,
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On quadratic inverses for quadratic permutation polynomials over integer rings

by Jonghoon Ryu, Oscar Y. Takeshita - IEEE Trans. Inf. Theory , 2006
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...permutation polynomial, quadratic polynomial, inverse polynomial, zero polynomial, null polynomial. JAN. 23, 2011 2 I. INTRODUCTION Interleavers for turbo codes have been extensively investigated [1]–=-=[3]-=-. Today the focus on interleaver constructions is not only for good error correction performance of the corresponding turbo codes but also for their hardware efficiency with respect to power consumpti...

A parallel interleaver design for IDMA systems

by Shuang Wu, Xiang Chen, Shidong Zhou - IEEE 2009 International Conference on Wireless Communications and Signal Processing, WCSP09 , 2009
"... Abstract—In this paper, we propose a parallel interleaver design for interleave-division multiple-access (IDMA) systems. The advantages of our approach are the low complexity induced from an algebraic solution and the parallel processing with negligible performance degradations against random interl ..."
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Abstract—In this paper, we propose a parallel interleaver design for interleave-division multiple-access (IDMA) systems. The advantages of our approach are the low complexity induced from an algebraic solution and the parallel processing with negligible performance degradations against random interleavers. It is specially suitable for parallel implementation of multiple user detections and decoding of IDMA signals, resulting in efficient improvements of system throughput. Simulation results show that the parallel interleavers perform as well as the random interleavers in an IDMA system. Keywords-IDMA; parallel interleavers I.
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...in the internalsinterleavers of the Turbo codes with the lengthsin ThirdsGeneration Partnership Project (3GPP) Release 8 [7], whichsare also called quadratic permutation polynomial (QPP)sinterleavers =-=[8]-=-. For a QPP interleaver, W i ( )isthe relationshipsbetween the output indexsand the input index Πssatisfies the following quadratic form:s2 1 2( ) ( ) modi f i f i WΠ = + 1f 2f W ini ,s(7)swhere the p...

Pruned Bit-Reversal Permutations: Mathematical Characterization, Fast Algorithms and Architectures

by Mohammad M. Mansour , 2014
"... A mathematical characterization of serially-pruned permutations (SPPs) employed in variable-length permuters and their associated fast pruning algorithms and architectures are proposed. Permuters are used in many signal processing systems for shuffling data and in communication systems as an adjunct ..."
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A mathematical characterization of serially-pruned permutations (SPPs) employed in variable-length permuters and their associated fast pruning algorithms and architectures are proposed. Permuters are used in many signal processing systems for shuffling data and in communication systems as an adjunct to coding for error correction. Typically only a small set of discrete permuter lengths are supported. Serial pruning is a simple technique to alter the length of a permutation to support a wider range of lengths, but results in a serial processing bottleneck. In this paper, parallelizing SPPs is formulated in terms of recursively computing sums involving integer floor and related functions using integer operations, in a fashion analogous to evaluating Dedekind sums. A mathematical treatment for bit-reversal permutations (BRPs) is presented, and closed-form expressions for BRP statistics including descents/ascents, major index, excedances/descedances, inversions, and serial correlations are derived. It is shown that BRP sequences have weak correlation properties. Moreover, a new statistic called permutation inliers that characterizes the pruning gap of pruned interleavers is proposed. Using this statistic, a recursive algorithm that computes the minimum inliers count of a pruned BR interleaver (PBRI) in logarithmic time complexity is presented. This algorithm enables parallelizing a serial PBRI algorithm by any desired parallelism factor by computing the pruning gap in lookahead rather than a serial fashion, resulting in significant reduction in interleaving latency and memory overhead. Extensions to 2-D block and stream interleavers, as well as applications to pruned fast Fourier transforms and LTE turbo interleavers, are also presented. Moreover, hardware-efficient architectures for the proposed algorithms are developed. Simulation results of interleavers employed in modern communication standards demonstrate 3 to 4 orders of magnitude improvement in interleaving time compared to existing approaches.

Further results on quadratic permutation polynomial-based interleavers for turbo codes

by Eirik Rosnes , 2011
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Remarks on Self-Inverse Quadratic Permutation Polynomials

by Horacio Tapia-Recillas , 2010
"... Abstract Conditions for a quadratic permutation polynomial (QPP) to be self-inverse over the ring Z m of modular integers are given. If m = 2 n , necessary and sufficient conditions for a QPP to be self-inverse are determined. Additional properties of QPP over modular integers as well as examples o ..."
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Abstract Conditions for a quadratic permutation polynomial (QPP) to be self-inverse over the ring Z m of modular integers are given. If m = 2 n , necessary and sufficient conditions for a QPP to be self-inverse are determined. Additional properties of QPP over modular integers as well as examples of monomial permutation polynomials are also provided. Mathematics Subject Classification: 12E10, 11B83
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...of modular integers are given. If m = 2n, necessary and sufficient conditions for a QPP to be self-inverse are determined. Additional properties of QPP over modular integers as well as examples of monomial permutation polynomials are also provided. Mathematics Subject Classification: 12E10, 11B83 Keywords: Quadratic Permutation polynomials, Modular integers, Turbo codes 1 Introduction One of the important components in turbo codes are the interleavers. Several ways to determine such objects appear in the literature, in which an algebraic approach has received the attention of research groups ([10]). This approach leads to the study of Permutation Polynomials (PPs) over the ring Zn of integers modulo n ([9]). Linear PPs do not have suitable properties for their use as interleavers, but those PPs of degree 2, i.e., QPPs, are more appropriate for such purpose. In [10] several properties of QPPs have been established and an infinite sequence of QPPs achieving the upper bound on the spread factor is described. It is worth mentioning that in [6] the interleave structure on QPPs was endorsed for LTE turbo coding and such interleavers perform well with respect to regularity, complexity and fle...

Performance Analysis of 3-Dimensional Turbo Codes

by Eirik Rosnes, Alexandre Graell i Amat , 2011
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CYCLE STRUCTURE OF PERMUTATION FUNCTIONS OVER FINITE FIELDS AND THEIR APPLICATIONS

by Amin Sakzad, Mohammad-Reza Sadeghi, Daniel Panario , 2012
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...ent. Only some defining parameters of the interleaver, such as the coefficients of a polynomial, are stored. Efforts in the field of deterministic interleavers have focused on permutation polynomials =-=[30, 31]-=-. Therefore, it seems natural to search in the class of permutation functions for finding good interleavers. Recent works concerning the inverse of interleavers like [8, 22, 26, 32] motivated us to tu...

NEW PSEUDO-RANDOM INTERLEAVER WITH INCREASED PARAMETERS

by Georgian Alex, Ru Lazar, Nicoleta Roxana Buzatu, Elena Cojocariu, Lucian Trifina , 2010
"... Abstract: This paper presents a new algorithm of obtaining a pseudo-random code-matched interleaver leading both to very good interleaver parameters and performance. The difference between the proposed permutation and other code matching techniques is that not only the distance spectrum is improved ..."
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Abstract: This paper presents a new algorithm of obtaining a pseudo-random code-matched interleaver leading both to very good interleaver parameters and performance. The difference between the proposed permutation and other code matching techniques is that not only the distance spectrum is improved but also the parameters of the interleaver. The design procedure is described in depth, and the benchmarking is done against the High Spread-Random and the deterministic Long Term Evolution (LTE) standard interleavers.
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...n to a factor of K*(K-1).sc. The Snew and the Dsspreading factorssThe new spreading factor Snew is defined as [7]:sji|);ji||pi(j)pi(i)(|minj)(i,S ji,new ≠−+−=s(3)sThe D-spreading factor is defined in =-=[8]-=-. It is similar to thesSnew spread, but instead of the Manhattan metric, the Leesmetric is used.s| |K Ki, jD min(|pi(i) pi(j)| i j );i j= - + - ąs(4)sWheres| | minK x y x y = (mod(x - y,K),mod(y - x,K...

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