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Digital Library of the
European Council for Modelling and Simulation |
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Title: |
New Genetic Optimization Strategies In Efficient Off-Line Traffic
Engineering For Simulating Multi-Service UMTS Cellular Networks |
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Authors: |
Vasilios Pasias, Dimitrios
A. Karras, Rallis C. Papademetriou |
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Published in:
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(2015).ECMS 2015 Proceedings edited
by: Valeri M. Mladenov, Grisha Spasov, Petia Georgieva, Galidiya Petrova, European
Council for Modeling and Simulation. doi:10.7148/2015 ISBN:
978-0-9932440-0-1 29th
European Conference on Modelling and Simulation, Albena (Varna), Bulgaria,
May 26th – 29th,
2015 |
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Citation
format: |
Vasilios Pasias, Dimitrios A. Karras, Rallis C. Papademetriou
(2015). New Genetic Optimization Strategies In
Efficient Off-Line Traffic Engineering For Simulating Multi-Service UMTS
Cellular Networks, ECMS 2015 Proceedings edited by: Valeri
M. Mladenov, Petia Georgieva, Grisha Spasov, Galidiya Petrova
European Council for Modeling and Simulation. doi:10.7148/2015-0438 |
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DOI: |
http://dx.doi.org/10.7148/2015-0438 |
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Abstract: |
This paper presents new strategies for offline
traffic engineering, when designing multiservice-UMTS networks, based on an
efficient modification of basic genetic optimization techniques. More
specifically, the problem setup includes Mobile Internet access as the most
emergent trade in the telecommunications industry due to the advancement of
cellular smartphones, tablets, notebooks and netbooks based computing and communicating technologies.
In this real world set-up, the integration of deployed wireless networks with
the Internet and the transparent interworking among different wireless
technologies, namely EDGE/GPRS/ CDMA2000 cellular and Wireless LAN (WLAN),
appears to be a demanding objective for mobile communications service
providers. The mixture and convergence of mobile and fixed infrastructures
related services make it urgent to tackle quality of service and traffic engineering
for mobile networks at the fundamental transport level with regards to OSI
network analysis. A good solution to address such issues is the Multi- Protocol
Label Switching (MPLS) technology providing a fused control instrument with
connectionless multiprotocol capabilities, functioning over different
communication media while supporting traffic engineering and quality of
service (QoS) offering smooth traffic over the complex
network of mobile and fixed communication infrastructures. Therefore, the
MPLS architecture offers the required capacity to integrate different
services over wired and wireless infrastructures in a unified convergent approach.
Based on these concepts, this research proposal investigates traffic engineering solutions in MPLS involved wireless
cellular networks. In this paper, two new methods for the solution of the
off-line Traffic Engineering (TE) problem in multi-service wireless networks
based on a certain efficient modification of basic genetic optimisation are presented. In the first method the
off-line TE problem is formulated as an optimisation
model with linear constraints and then solved using a new modified version of
the Genetic Algorithm for Numerical Optimisation
for Constraint Problems (GENOCOP). Besides, a hybrid method for the solution
of the aforementioned problem involving modified GENOCOP and a heuristic TE
algorithm is also provided. The performance of the above methods against a
standard LP-based optimisation method is examined
in terms of two different network topologies mixing both wireless and wired
links and numerical test results are provided. |
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