All Dates/Times are Australian Eastern Standard Time (AEST)

# Technical Program

## Paper Detail

 Paper ID D2-S4-T2.3 Paper Title Explicit Rate-Optimal Streaming Codes with Smaller Field Size Authors Myna Vajha, Vinayak Ramkumar, Indian Institute of Science, India; M. Nikhil Krishnan, University of Toronto, Canada; P. Vijay Kumar, Indian Institute of Science, India Session D2-S4-T2: Streaming Codes Chaired Session: Tuesday, 13 July, 23:00 - 23:20 Engagement Session: Tuesday, 13 July, 23:20 - 23:40 Abstract Streaming codes are a class of packet-level erasure codes that ensure packet recovery over a sliding window channel which allows either a burst erasure of size $b$ or $a$ random erasures within any window of size $(\tau+1)$ time units, under a strict decoding-delay constraint $\tau$. The field size over which streaming codes are constructed is an important factor determining the complexity of implementation. The best known explicit rate-optimal streaming code requires a field size of $q^2$ where $q \ge \tau+b-a$ is a prime power. In this work, we present an explicit rate-optimal streaming code, for all possible $\{a,b,\tau\}$ parameters, over a field of size $q^2$ for prime power $q \ge \tau$. This is the smallest-known field size of a general explicit rate-optimal construction that covers all $\{a,b,\tau\}$ parameter sets. We achieve this by modifying the non-explicit code construction due to Krishnan et al. to make it explicit, without change in field size.