IMDEA Networks Institute Publications Repository

The value of BS flexibility for QoS-aware sleep modes in cellular access networks

Rizzo, Gianluca and Rengarajan, Balaji and Ajmone Marsan, Marco (2014) The value of BS flexibility for QoS-aware sleep modes in cellular access networks. In: The 13th IEEE International Conference on Communications Workshops (IEEE ICC 2014), Workshop on Energy Efficiency in Wireless Networks & Wireless Networks for Energy Efficiency (E2Nets), 10-14 June 2014, Sydney, Australia.

[img]
Preview
PDF (The value of BS flexibility for QoS-aware sleep modes in cellular access networks) - Published Version
Download (172Kb) | Preview

Abstract

Sleep modes are one of the most widely investigated techniques to decrease energy consumption in cellular access networks. However, the application of such algorithms on the base station (BS) equipment of today presents several challenges. Indeed, currently installed BSs are unfit for frequent on/off cycles. This may lead to increased failure rates and malfunctioning, ultimately resulting in significant CAPEX and OPEX increases for mobile network operators (MNOs). This situation calls for a new generation of flexible BSs endowed with a ”hot standby” mode, which guarantees quick activation times without affecting BS availability. However, when such new BS models become available, MNOs will need to determine a migration path to a new network deployment with progressive replacement of old BS equipment. In this paper, we propose an approach to quantify the benefits obtained by MNOs with the deployment of flexible BSs, in terms of maximum energy efficiency achievable with a given fraction of flexible BSs in their network. More specifically, we propose a method for estimating, for a given percentage of flexible BSs, the energy optimal density of static and flexible BSs, which is sufficient to serve a given set of active users with predefined performance guarantees. We show how to apply our method to derive bounds on the maximum energy saving achievable through sleep modes, as a function of the fraction of flexible BSs. We determine the effect of uncertainty in traffic predictions on sleep modes performance, and we derive indications for optimal network planning strategies.

Item Type: Conference or Workshop Papers (Paper)
Additional Information: DOI: http://dx.doi.org/10.1109/ICCW.2014.6881312
Subjects: UNSPECIFIED
Divisions: UNSPECIFIED
Depositing User: Rebeca De Miguel
Date Deposited: 14 Jan 2015 13:10
Last Modified: 15 Dec 2016 15:04
URI: http://eprints.networks.imdea.org/id/eprint/927

Actions (login required)

View Item View Item