Fronthaul-Aware Software-Defined Wireless Networks: Resource Allocation and User Scheduling

TL;DR

This paper proposes a fronthaul-aware SDN control mechanism for wireless networks that optimizes resource allocation and user scheduling, leading to significant throughput improvements and latency reduction, especially in dense deployments.

Contribution

It introduces a two-timescale control framework that maximizes throughput while considering fronthaul constraints, combining long-term equilibrium enforcement with short-term user scheduling.

Findings

Up to 40% latency reduction achieved.

Significant throughput gains demonstrated in simulations.

Enhanced performance in dense network scenarios.

Abstract

Software-defined networking (SDN) provides an agile and programmable way to optimize radio access networks via a control-data plane separation. Nevertheless, reaping the benefits of wireless SDN hinges on making optimal use of the limited wireless fronthaul capacity. In this work, the problem of fronthaul-aware resource allocation and user scheduling is studied. To this end, a two-timescale fronthaul-aware SDN control mechanism is proposed in which the controller maximizes the time-averaged network throughput by enforcing a coarse correlated equilibrium in the long timescale. Subsequently, leveraging the controller's recommendations, each base station schedules its users using Lyapunov stochastic optimization in the short timescale, i.e., at each time slot. Simulation results show that significant network throughput enhancements and up to 40% latency reduction are achieved with the aid of the SDN controller. Moreover, the gains are more pronounced for denser network deployments.