A locally repairable code is called Singleton-optimal if it achieves the Singleton-type bound. Such codes are of great theoretic interest in the study of locally repairable codes. In the recent years there has been a great amount of work on this topic. One of the main problems in this topic is to determine the largest length of a q-ary Singleton-optimal locally repairable code for given locality and minimum distance. Unlike classical MDS codes, the maximum length of Singleton? Optimal locally repairable codes are very sensitive to minimum distance and locality. Thus, it is more challenging and complicated to investigate the maximum length of Singleton-optimal locally repairable codes. In literature, there has been already some research on this problem. However, most of work is concerned with some specific parameter regime such as small minimum distance and locality, and rely on the constraint that (r + 1)|n and recovery sets are disjoint, where r is locality and n is the code length. In this paper we study the problem for large range of parameters including the case where minimum distance is proportional to length. In addition, we also derive some upper bounds on the maximum length of Singleton-optimal locally repairable codes with small minimum distance by removing this constraint. It turns out that even without the constraint we still get better upper bounds for codes with small locality and distance compared with known results. Furthermore, based on our upper bounds for codes with small distance and locality and some propagation rule that we propose in this paper, we are able to derive some upper bounds for codes with relatively large distance and locality assuming that (r + 1)|n and recovery sets are disjoint.
翻译:本地可修理代码如果达到单质类型, 则称为“ 单质- 最佳” 。 因此, 调查单质- 最佳本地可修理代码的最大长度具有极大的理论意义。 近几年来, 有关这一专题的工作量很大。 本专题的主要问题之一是确定某地点和最低距离的可本地修理代码的最大长度。 与传统的 MDS 代码不同, 单质- 最高长度? 最佳本地可修理代码对于最小距离和地点非常敏感。 因此, 调查单质- 最佳本地可修理代码的最大长度具有极大的理论意义和复杂性。 在文献中, 已经就这一问题进行了大量研究。 然而, 大部分工作都涉及某些特定的参数制度, 如小距离和地点, 取决于( r+ 1) 和回收的套套件不兼容性。 在本文中, 我们研究关于大范围参数的问题, 包括最小距离与小长度相当的情况。 此外, 我们还可以使用一些上层- 上层- 约束性规则, 并且我们也可以使用某种上层- 上行距( ) 将某种上行距- 最短的硬的码, 进行某种本地的校准的校正,, 将一些上比 以 最短的校正的校正 。