Decoding Delay Minimization in Inter-Session Network Coding

TL;DR

This paper introduces a framework for optimal rate allocation in inter-session network coding to minimize decoding delay across clients, demonstrating significant delay reductions over intra-session coding in various network scenarios.

Contribution

It presents a novel optimization framework for inter-session network coding, enhancing delay performance through effective rate allocation strategies.

Findings

Inter-session network coding reduces decoding delay compared to intra-session coding.

Optimal rate allocation significantly improves delay performance.

The proposed method outperforms basic coding solutions in multiple network topologies.

Abstract

Intra-session network coding has been shown to offer significant gains in terms of achievable throughput and delay in settings where one source multicasts data to several clients. In this paper, we consider a more general scenario where multiple sources transmit data to sets of clients and study the benefits of inter-session network coding, when network nodes have the opportunity to combine packets from different sources. In particular, we propose a novel framework for optimal rate allocation in inter-session network coding systems. We formulate the problem as the minimization of the average decoding delay in the client population and solve it with a gradient-based stochastic algorithm. Our optimized inter-session network coding solution is evaluated in different network topologies and compared with basic intra-session network coding solutions. Our results show the benefits of proper coding decisions and effective rate allocation for lowering the decoding delay when the network is used by concurrent multicast sessions.