Activity management algorithm for improving energy efficiency of small cell base stations in 5G heterogeneous networks
Author
Aykın, Irmak
Advisor
Karaşan, Ezhan
Date
2014Publisher
Bilkent University
Language
English
Type
ThesisItem Usage Stats
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Abstract
Heterogeneous networks (HetNets) are proposed in order to meet the increasing
demand for next generation cellular wireless networks, but they also increase
the energy consumption of the base stations. In this thesis, an activity management
algorithm for improving the energy efficiency of HetNets is proposed.
A smart sleep strategy is employed for the operator deployed pico base stations
to enter sleep and active modes. According to that strategy, when the number
of users exceeds the turn on threshold, the pico node becomes active and when
the number of users drop below the turn off threshold, it goes into sleep mode.
Mobile users dynamically enter and leave the cells, triggering the activation and
deactivation of pico base stations. The performance of the system is examined
for three different cellular network architectures: cell on edge (COE), uniformly
distributed cells (UDC) and macro cell only network (MoNet). Two different
user distributions are considered: uniform and hotspot. The effects of number of
hotspot users and sleep energies of pico nodes on the energy efficiency are also
investigated. The proposed activity management algorithm increases the energy
efficiency, measured in bits/J, by 20%. The average bit rates achieved by HetNet
users increase by 29% compared with the MoNet architecture. Thus, the proposed
activity control algorithm increases the spectral efficiency of the network
while consuming the energy more efficiently.
Keywords
Heterogeneous networksSleep mode
LTE
Activity management
Algorithm
Energy efficiency
Small cell
Green communications