Delay-Aware Cross-Layer Design for Network Utility Maximization in Multi-hop Networks

TL;DR

This paper introduces a delay-aware cross-layer design framework for multi-hop networks that optimizes network utilization while ensuring loop-free routing and improved end-to-end delay performance.

Contribution

The work develops a novel joint flow control, routing, and scheduling framework that exploits unique characteristics of back pressure controllers to enhance delay and utilization.

Findings

Achieves loop-free multi-path routes with optimal utilization.

Significantly improves end-to-end delay performance.

Supports extensive numerical validation of theoretical results.

Abstract

We investigate the problem of designing delay-aware joint flow control, routing, and scheduling algorithms in general multi-hop networks for maximizing network utilization. Since the end-to-end delay performance has a complex dependence on the high-order statistics of cross-layer algorithms, earlier optimization-based design methodologies that optimize the long term network utilization are not immediately well-suited for delay-aware design. This motivates us in this work to develop a novel design framework and alternative methods that take advantage of several unexploited design choices in the routing and the scheduling strategy spaces. In particular, we reveal and exploit a crucial characteristic of back pressure-type controllers that enables us to develop a novel link rate allocation strategy that not only optimizes long-term network utilization, but also yields loop free multi-path routes} between each source-destination pair. Moreover, we propose a regulated scheduling strategy, based on a token-based service discipline, for shaping the per-hop delay distribution to obtain highly desirable end-to-end delay performance. We establish that our joint flow control, routing, and scheduling algorithm achieves loop-free routes and optimal network utilization. Our extensive numerical studies support our theoretical results, and further show that our joint design leads to substantial end-to-end delay performance improvements in multi-hop networks compared to earlier solutions.