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Large Sets of Quasi-Complementary Sequences From Polynomials over Finite Fields and Gaussian Sums

Ziling Heng, Peng Wang, Chunlei Xie, Haiyan Zhou

TL;DR

The paper addresses the need for large periodic QCSSs to support many users in MC-CDMA by deriving five infinite families from polynomials over finite fields and Gaussian sums. Each construction achieves asymptotically optimal or near-optimal correlation behavior, with set sizes scaling as $\Theta(K^2)$ or $\Theta(K^3)$ and flock size $K$, often over small alphabets. The authors use additive/multiplicative characters, Gaussian sums, and root-count results of specific polynomials to analytically bound correlations and prove asymptotic optimality. The work broadens the catalog of QCSS families, offering practical sequence sets with large user capacity and favorable interference properties for next-generation communication systems.

Abstract

Perfect complementary sequence sets (PCSSs) are widely used in multi-carrier code-division multiple-access (MC-CDMA) communication systems. However, the set size of a PCSS is upper bounded by the number of row sequences of each two-dimensional matrix in the PCSS. Then quasi-complementary sequence sets (QCSSs) were proposed to support more users in MC-CDMA communications. For practical applications, it is desirable to construct an $(M,K,N,\vartheta_{\max})$-QCSS with $M$ as large as possible and $\vartheta_{max}$ as small as possible, where $M$ is the number of matrices with $K$ rows and $N$ columns in the set and $\vartheta_{\max}$ denotes its periodic tolerance. There exists a tradeoff among these parameters. Constructing QCSSs achieving or nearly achieving the known correlation lower bound has been an interesting research topic. Up to now, only a few constructions of asymptotically optimal or near-optimal periodic QCSSs have been reported in the literature. In this paper, based on polynomials over finite fields and Gaussian sums, we construct five new families of asymptotically optimal or near-optimal periodic QCSSs with large set sizes and low periodic tolerances. These families of QCSSs have set size $Θ(K^2)$ or $Θ(K^3)$ and flock size $K$. To the best of our knowledge, only a small amount of known families of periodic QCSSs with set size $Θ(K^2)$ have been constructed and most of other known periodic QCSSs have set sizes much smaller than $Θ(K^2)$. Our new constructed periodic QCSSs with set size $Θ(K^2)$ and flock size $K$ have the best parameters among all known ones. They have larger set sizes or lower periodic tolerances. The periodic QCSSs with set size $Θ(K^3)$ and flock size $K$ constructed in this paper have the largest set size among all known families of asymptotically optimal or near-optimal periodic QCSSs.

Large Sets of Quasi-Complementary Sequences From Polynomials over Finite Fields and Gaussian Sums

TL;DR

The paper addresses the need for large periodic QCSSs to support many users in MC-CDMA by deriving five infinite families from polynomials over finite fields and Gaussian sums. Each construction achieves asymptotically optimal or near-optimal correlation behavior, with set sizes scaling as or and flock size , often over small alphabets. The authors use additive/multiplicative characters, Gaussian sums, and root-count results of specific polynomials to analytically bound correlations and prove asymptotic optimality. The work broadens the catalog of QCSS families, offering practical sequence sets with large user capacity and favorable interference properties for next-generation communication systems.

Abstract

Perfect complementary sequence sets (PCSSs) are widely used in multi-carrier code-division multiple-access (MC-CDMA) communication systems. However, the set size of a PCSS is upper bounded by the number of row sequences of each two-dimensional matrix in the PCSS. Then quasi-complementary sequence sets (QCSSs) were proposed to support more users in MC-CDMA communications. For practical applications, it is desirable to construct an -QCSS with as large as possible and as small as possible, where is the number of matrices with rows and columns in the set and denotes its periodic tolerance. There exists a tradeoff among these parameters. Constructing QCSSs achieving or nearly achieving the known correlation lower bound has been an interesting research topic. Up to now, only a few constructions of asymptotically optimal or near-optimal periodic QCSSs have been reported in the literature. In this paper, based on polynomials over finite fields and Gaussian sums, we construct five new families of asymptotically optimal or near-optimal periodic QCSSs with large set sizes and low periodic tolerances. These families of QCSSs have set size or and flock size . To the best of our knowledge, only a small amount of known families of periodic QCSSs with set size have been constructed and most of other known periodic QCSSs have set sizes much smaller than . Our new constructed periodic QCSSs with set size and flock size have the best parameters among all known ones. They have larger set sizes or lower periodic tolerances. The periodic QCSSs with set size and flock size constructed in this paper have the largest set size among all known families of asymptotically optimal or near-optimal periodic QCSSs.

Paper Structure

This paper contains 12 sections, 12 theorems, 79 equations, 15 figures, 1 table.

Key Result

Lemma 2.1

Lidl Let $q=p^n$ with odd prime $p$. Then

Figures (15)

  • Figure 1: The autocorrelation magnitude distribution of $\mathbf{C}^{1,\alpha^0}$ in Example \ref{['example1']}
  • Figure 2: The autocorrelation magnitude distribution of $\mathbf{C}^{1,\alpha^6}$ in Example \ref{['example1']}
  • Figure 3: The correlation magnitude distribution of $\mathbf{C}^{1,\alpha^0}$ and $\mathbf{C}^{1,\alpha^6}$ in Example \ref{['example1']}
  • Figure 4: The autocorrelation magnitude distribution of $\mathbf{C}^{1,\alpha}$ in Example \ref{['example2']}
  • Figure 5: The autocorrelation magnitude distribution of $\mathbf{C}^{1,\alpha^2}$ in Example \ref{['example2']}
  • ...and 10 more figures

Theorems & Definitions (23)

  • Lemma 2.1
  • Lemma 2.2
  • Lemma 2.3
  • Lemma 2.4
  • Lemma 2.5
  • Corollary 2.6
  • proof
  • Lemma 2.7
  • Theorem 3.1
  • proof
  • ...and 13 more