Lower bound on minimum lee distance of algebraic-geometric codes over finite fields

Algebraic-geometric (AG) codes over finite fields with respect to the Lee metric have been studied. A lower bound on the minimum Lee distance is derived, which is a Lee-metric version of the well-known Goppa bound on the minimum Hamming distance of AG codes. The bound generalises a lower bound on the minimum Lee distance of Lee-metric BCH and Reed-Solomon codes, which have been successfully used for protecting against bitshift and synchronisation errors in constrained channels and for error control in partial-response channels.C

Analysis and Decoding of Linear Lee-Metric Codes with Application to Code-Based Cryptography

Lee-metric codes are defined over integer residue rings endowed with the Lee metric. Even though the metric is one of the oldest metric considered in coding-theroy and has interesting applications in, for instance, DNA storage and code-based cryptography, it received relatively few attentions compared to other distances like the Hamming metric or the rank metric. Hence, codes in the Lee metric are still less studied than codes in other metrics. Recently, the interest in the Lee metric increased due to its similarities with the Euclidean norm used in lattice-based cryptosystem. Additionally, it is a promising metric to reduce the key sizes or signature sizes in code-based cryptosystem. However, basic coding-theoretic concepts, such as a tight Singleton-like bound or the construction of optimal codes, are still open problems. Thus, in this thesis we focus on some open problems in the Lee metric and Lee-metric codes. Firstly, we introduce generalized weights for the Lee metric in different settings by adapting the existing theory for the Hamming metric over finite rings. We discuss their utility and derive new Singleton-like bounds in the Lee metric. Eventually, we abandon the classical idea of generalized weights and introduce generalized distances based on the algebraic structure of integer residue rings. This allows us to provide a novel and improved Singleton-like bound in the Lee metric over integer residue rings. For all the bounds we discuss the density of their optimal codes. Originally, the Lee metric has been introduced over a $q$-ary alphabet to cope with phase shift modulation. We consider two channel models in the Lee metric. The first is a memoryless channel matching to the Lee metric under the decoding rule ``decode to the nearest codeword''. The second model is a block-wise channel introducing an error of fixed Lee weight, motivated by code-based cryptography where errors of fixed weight are added intentionally. We show that both channels coincide in the limit of large block length, meaning that their marginal distributions match. This distribution enables to provide bounds on the asymptotic growth rate of the surface and volume spectrum of spheres and balls in the Lee metric, and to derive bounds on the block error probability of the two channel models in terms of random coding union bounds. As vectors of fixed Lee weight are also of interest to cryptographic applications, we discuss the problem of scalar multiplication in the Lee metric in the asymptotic regime and in a finite-length setting. The Lee weight of a vector may be increased or decreased by the product with a nontrivial scalar. From a cryptographic view point this problem is interesting, since an attacker may be able to reduce the weight of the error and hence reduce the complexity of the underlying problem. The construction of a vector with constant Lee weight using integer partitions is analyzed and an efficient method for drawing vectors of constant Lee weight uniformly at random from the set of all such vectors is given. We then focus on regular LDPC code families defined over integer residue rings and analyze their performance with respect to the Lee metric. We determine the expected Lee weight enumerator for a random code in fixed regular LDPC code ensemble and analyze its asymptotic growth rate. This allows us to estimate the expected decoding error probability. Eventually, we estimate the error-correction performance of selected LDPC code families under belief propagation decoding and symbol message passing decoding and compare the performances. The thesis is concluded with an application of the results derived to code-based cryptography. Namely, we apply the marginal distribution to improve the yet known fastest Lee-information set decoding algorithm

Error-Correction Performance of Regular Ring-Linear LDPC Codes over Lee Channels

Most low-density parity-check (LDPC) code constructions are considered over finite fields. In this work, we focus on regular LDPC codes over integer residue rings and analyze their performance with respect to the Lee metric. Their error-correction performance is studied over two channel models, in the Lee metric. The first channel model is a discrete memoryless channel, whereas in the second channel model an error vector is drawn uniformly at random from all vectors of a fixed Lee weight. It is known that the two channel laws coincide in the asymptotic regime, meaning that their marginal distributions match. For both channel models, we derive upper bounds on the block error probability in terms of a random coding union bound as well as sphere packing bounds that make use of the marginal distribution of the considered channels. We estimate the decoding error probability of regular LDPC code ensembles over the channels using the marginal distribution and determining the expected Lee weight distribution of a random LDPC code over a finite integer ring. By means of density evolution and finite-length simulations, we estimate the error-correction performance of selected LDPC code ensembles under belief propagation decoding and a low-complexity symbol message passing decoding algorithm and compare the performances

Asymmetric Lee Distance Codes for DNA-Based Storage

We consider a new family of codes, termed asymmetric Lee distance codes, that arise in the design and implementation of DNA-based storage systems and systems with parallel string transmission protocols. The codewords are defined over a quaternary alphabet, although the results carry over to other alphabet sizes; furthermore, symbol confusability is dictated by their underlying binary representation. Our contributions are two-fold. First, we demonstrate that the new distance represents a linear combination of the Lee and Hamming distance and derive upper bounds on the size of the codes under this metric based on linear programming techniques. Second, we propose a number of code constructions which imply lower bounds