TANGO: traffic-aware network planning and green operation

TLDR

The article highlights a paradigm shift toward energy‑efficient next‑generation cellular networks, emphasizing that network planning and operation must be globally optimized for resource and energy efficiency (GREEN). The authors propose the TANGO framework to enable traffic‑aware, energy‑efficient network planning and operation. TANGO incorporates key technologies that are presented and evaluated to support the migration toward energy‑efficient network planning. Modeling and simulations demonstrate that TANGO significantly improves energy efficiency while maintaining satisfactory QoS.

Abstract

This article addresses the potential paradigm shift of the next-generation cellular networks from the viewpoint of energy efficiency. In particular, it reveals that networks planning and operation should be more energy efficiency oriented; and in the meantime, the radio resources distributed over different cellular networks, and base stations should be optimized in a global way to be globally resource-optimized and energy-efficient networks (GREEN). A new framework, called traffic-aware network planning and green operation (TANGO), is proposed toward GREEN. Some key technologies for the migration to TANGO are then presented and evaluated. Theoretical modeling and simulation studies show that TANGO schemes can greatly improve the energy efficiency of cellular networks, while keeping QoS at a satisfactory level.