Energy Efficiency Behavior in Heterogeneous Networks under Various Operating Situations of Cognitive Small Cells
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Affiliation(s)
1Faculty of Engineering, Ain-Shams University, Cairo, Egypt.
2National Telecommunication Institute (NTI), Cairo, Egypt.
2National Telecommunication Institute (NTI), Cairo, Egypt.
ABSTRACT
Recently,
several approaches were followed for the enhancement and better
resource utilization in mobile networks; this is to achieve energy
efficient consumption for production and delivery of an information bit.
Using Cognitive Femto cells (as a member of the small base stations’
family) proves that, it is an efficient solution for achieving this
goal[1]. The use of Energy Efficiency term η has become one of the major indices for measuring the performance of these systems. η is the measure of the overall system Capacity (C) in bps/Hz versus the Consumed Energy (E) in Joules [2]. In consistence with many researches, analytic models and empirical measurements, η will
be investigated throughout the course of this work. Cognitive Base
Stations (CBS) (as an element of the system model) which performs the
traffic offloading operations is proved to enhance η performance.
In this work, a combination of both analytic and simulation models are
used to construct a practical system model. The obtained model is then
used to illustrate the effect of different operational parameters that
are involved in the η problem. On the other hand, the current
paper tries to focus on the selection criteria that may be used to
design the cooperative cognitive networks in order to achieve the best η indices.
Both of CBSs radii as well as the inter-separation distances (between
CBSs and MBS location) are examined to obtain best η index for
different operation scenarios; in addition, both of capacity and energy
consumption are taken into consideration based on practical operating
measures. This work proposed several nonlinear equations with fixed
parameters to be used by field engineers to achieve the results with
minimum reduced computation complexity. So, the current work may be of
importance for the regulator bodies as well as the cognitive mobile
operators.
Cite this paper
References
Fahmy,
A. , Saafan, A. , El-Badawy, H. and El-Ramly, S. (2015) Energy
Efficiency Behavior in Heterogeneous Networks under Various Operating
Situations of Cognitive Small Cells. Wireless Engineering and Technology, 6, 9-23. doi: 10.4236/wet.2015.61002.
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