🤖 AI Summary
This paper investigates streaming coding for a three-node relay network subject to burst erasures—where the source-relay and relay-destination links tolerate maximum burst erasure lengths $b_1$ and $b_2$, respectively—and an end-to-end decoding delay constraint $T$. To overcome the restrictive divisibility condition $u mid (T - u - v)$ (with $u = max{b_1,b_2}$, $v = min{b_1,b_2}$) imposed by prior schemes, we propose the **extended delay profile method**, relaxing the feasibility condition for achieving the information-theoretic optimal rate to $(T - u - v)/(2u - v) leq lfloor (T - u - v)/u
floor$. This condition strictly subsumes the prior constraint and admits a broader range of practical parameter tuples. By jointly optimizing sliding-window modeling, algebraic code construction, and delay profile design, we prove that our scheme achieves the capacity upper bound. The result significantly expands the design space for optimal streaming codes under burst erasures and strict delay constraints.
📝 Abstract
This paper investigates streaming codes for three-node relay networks under burst packet erasures with a delay constraint $T$. In any sliding window of $T+1$ consecutive packets, the source-to-relay and relay-to-destination channels may introduce burst erasures of lengths at most $b_1$ and $b_2$, respectively. Let $u = max{b_1, b_2}$ and $v = min{b_1, b_2}$. Singhvi et al. proposed a construction achieving the optimal rate when $umid (T-u-v)$. In this paper, we present an extended delay profile method that attains the optimal rate under a relaxed constraint $frac{T - u - v}{2u - v} leq leftlfloor frac{T - u - v}{u}
ight
floor$ and it strictly cover restriction $umid (T-u-v)$. %Furthermore, we demonstrate that the optimal rate for streaming codes is not achievable when $0