SoftCell: scalable and flexible cellular core network architecture

By Xin Jin, Erran L. Li, Laurent Vanbever, Jennifer Rexford. Conference on Emerging Network Experiment and Technology, 2013

395 citations recorded by the source corpus.

Cellular core networks suffer from inflexible and expensive equipment, as well as from complex control-plane protocols. To address these challenges, we present SoftCell, a scalable architecture that supports fine-grained policies for mobile devices in cellular core networks, using commodity switches and servers. SoftCell enables operators to realize high-level service policies that direct traffic through sequences of middleboxes based on subscriber attributes and applications. To minimize the size of the forwarding tables, SoftCell aggregates traffic along multiple dimensions---the service policy, the base station, and the mobile device---at different switches in the network. Since most traffic originates from mobile devices, SoftCell performs fine-grained packet classification at the access switches, next to the base stations, where software switches can easily handle the state and bandwidth requirements. SoftCell guarantees that packets belonging to the same connection traverse the same sequence of middleboxes in both directions, even in the presence of mobility. We demonstrate that SoftCell improves the scalability and flexibility of cellular core networks by analyzing real LTE workloads, performing micro-benchmarks on our prototype controller as well as large-scale simulations.

Subfields: Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/88c52b1ef876baf0eadfbd4aa792e8e3b861564f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

  1. Sandra Scott-Hayward
  2. Shuai Nie
  3. Ian F. Akyildiz
  4. Sakir Sezer
  5. Min Chen
  6. Shih-Chun Lin
  7. Sriram Natarajan
  8. Manoj Chandrasekaran

Citations in the corpus