%Aigaion2 BibTeX export von HES SO Valais Publications
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@ARTICLE{,
    author = {Rizzo, Gianluca and Marsan, Marco G Ajmone},
     month = jun,
     title = {The Value of BS Flexibility for QoS-Aware Sleep Modes in Cellular Access Networks},
   journal = {IEEE ICC E2Nets 2014},
      year = {2014},
  location = {Sydney},
       url = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6881312&tag=1},
       doi = {10.1109/ICCW.2014.6881312},
  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 present
day base stations (BS) equipment poses 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 achievable 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 savings 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.},
green networking, sleep modes, energy efficiency
}