# Deadline-Aware Multipath Communication: An Optimization Problem

## TL;DR

This paper formulates a linear optimization model for deadline-aware multipath communication, demonstrating how path diversity can enhance throughput and latency management for delay-sensitive applications.

## Contribution

It introduces a novel optimization framework for multipath data transmission that accounts for deadlines and delay constraints, providing theoretical bounds and practical approaches.

## Key findings

- Path diversity significantly improves network performance.
- Theoretical bounds on throughput and latency are established.
- Simulation results validate the optimization approach.

## Abstract

Multipath communication not only allows improved throughput but can also be used to leverage different path characteristics to best fulfill each application's objective. In particular, certain delay-sensitive applications, such as real time voice and video communications, can usually withstand packet loss and aim to maximize throughput while keeping latency at a reasonable level. In such a context, one hard problem is to determine along which path the data should be transmitted or retransmitted. In this paper, we formulate this problem as a linear optimization, show bounds on the performance that can be obtained in a multipath paradigm, and show that path diversity is a strong asset for improving network performance. We also discuss how these theoretical limits can be approached in practice and present simulation results.