Paper Info
Title
Energy Aware Optimization Of Mobile Metro-Core Network Under Predictable Aggregated Traffic Patterns
Abstract
The high predictability in human mobility patterns is a valuable information to optimize resource allocation and increase energy efficiency by effectively adapting to expected traffic load variations. In this work, we addressed the impact of human mobility patterns of mobile users in a metro area over the aggregated traffic offered to the mobile metro-core networks. Exploiting predictable trends recognized in aggregated traffic, we propose two optimization methods to reduce the energy consumption in the optical layer of metro-core networks. Our results display energy savings of more than 20% by introducing load adaptive network operation.
Year
DOI
Venue
2016
10.1109/ICC.2016.7511248
2016 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC)
Field
DocType
ISSN
Mobile computing,Predictability,Efficient energy use,Computer science,Core network,Computer network,Mobility model,Real-time computing,Resource allocation,Energy consumption,Mobile telephony
Conference
1550-3607
Citations 
PageRank 
References 
0
0.34
7
Authors
5
Name
Order
Citations
PageRank
Rodolfo Alvizu1336.39
x y zhao2467.78
Guido Maier325728.10
Yajing Xu4115.28
Achille Pattavina555674.97