Plotkin-like Bound and Explicit Function-Correcting Code Constructions for Lee Metric Channels
Hareesh K., Rashid Ummer N. T., B. Sundar Rajan
TL;DR
This work addresses efficient protection of function evaluations over Lee metric channels by developing function-correcting Lee codes (FCLCs). It introduces a Plotkin-like bound for irregular-Lee-distance codes and an exact connection between FCLCs and irregular-Lee-distance codes via distance requirement matrices, enabling explicit redundancy analysis. The authors present explicit FCLC constructions for three function classes—Lee weight, Lee weight distribution, and modular sum—with tight redundancy bounds in several parameter regimes, and they demonstrate substantial redundancy reductions compared with classical Lee ECCs and ECCs on function values. Collectively, the results advance practical designs for reliable function evaluation with reduced redundancy in non-binary, Lee-metric environments, and they lay groundwork for extending these techniques to additional function classes.
Abstract
Function-Correcting Codes (FCCs) are a novel class of codes designed to protect function evaluations of messages against errors while minimizing redundancy. A theoretical framework for systematic FCCs to channels matched to the Lee metric has been studied recently, which introduced function-correcting Lee codes (FCLCs) and also derived upper and lower bounds on their optimal redundancy. In this paper, we first propose a Plotkin-like bound for irregular Lee-distance codes. We then construct explicit FCLCs for specific classes of functions, including the Lee weight, Lee weight distribution, modular sum, and locally bounded function. For these functions, lower bounds on redundancy are obtained, and our constructions are shown to be optimal in certain cases. Finally, a comparative analysis with classical Lee error-correcting codes and codes correcting errors in function values, demonstrates that FCLCs can significantly reduce redundancy while preserving function correctness.
