SOARAN: A Service-oriented Architecture for Radio Access Network Sharing in Evolving Mobile Networks

TL;DR

SOARAN introduces a service-oriented RAN sharing framework that abstracts resource management at the application level, enabling flexible, efficient, and QoE-aware resource allocation in evolving SD-CWNs.

Contribution

It proposes a novel application-level resource allocation model and a fast approximation algorithm, decoupling network operators from radio resources and aligning with SDN principles.

Findings

Effective application-level resource management improves network efficiency.

The proposed algorithm provides near-optimal solutions with low computational overhead.

SOARAN enhances flexibility and QoE in RAN sharing for SD-CWNs.

Abstract

Mobile networks are undergoing fast evolution to software-defined networking (SDN) infrastructure in order to accommodate the ever-growing mobile traffic and overcome the network management nightmares caused by unremitting acceleration in technology innovations and evolution of the service market.Enabled by virtualized network functionalities, evolving carrier wireless networks tend to share radio access network (RAN) among multiple (virtual) network operators so as to increase network capacity and reduce expenses.However, existing RAN sharing models are operator-oriented, which expose extensive resource details, e.g. infrastructure and spectrum,to participating network operators for resource-sharing purposes. These old-fashioned models violate the design principles of SDN abstraction and are infeasible to manage the thriving traffic of on-demand customized services. This paper presents SOARAN, a service-oriented framework for RAN sharing in mobile networks evolving from LTE/LTE advanced to software-defined carrier wireless networks(SD-CWNs), which decouples network operators from radio resource by providing application-level differentiated services. SOARAN defines a serial of abstract applications with distinct Quality of Experience (QoE) requirements. The central controller periodically computes application-level resource allocation for each radio element with respect to runtime traffic demands and channel conditions, and disseminate these allocation decisions as service-oriented policies to respect element. The radio elements then independently determine flow-level resource allocation within each application to accomplish these policies. We formulate the application-level resource allocation as an optimization problem and develop a fast algorithm to solve it with a provably approximate guarantee.