Tag: Meta-heuristic Approaches

Accepted paper for presentation in AP-S/URSI 2020

Invasive Weed Optimization for Antenna Design: Case of 4G/5G Multi-band Antenna by Mira Bou Saleh, Elias A. Doumith, and Rémi Sarkis.

Abstract: 5G is the latest generation of mobile communication and promises considerably higher data rates, lower latency, and increased number of instantaneous connections. This could not be achieved without the use of antennas that operate on several frequencies including those already-used by the current 4G technology. In this paper, we propose a new approach for the design of 4G/5G antennas based on the Invasive Weed Optimization algorithm. We show that our proposed algorithm outperforms the built-in optimizer of the CST simulator when applied to several 4G/5G antenna designs.

From Network Planning to Traffic Engineering in Multi-layer Networks

From Network Planning to Traffic Engineering in Multi-layer Networks
From Network Planning to Traffic Engineering in Multi-layer Networks
A Focus on Grooming and Rerouting Strategies
Elias A. Doumith
LAP Lambert Academic Publishing
ISBN-13: 978-3-8465-2777-1
ISBN-10: 3846527777
EAN: 9783846527771

Abstract: High-performance transport networks are expected to support applications with various types of traffic flows (permanent, scheduled, bursty, and noisy). Since high-performance networks usually employ optical network infrastructures and since most applications require sub-wavelength bandwidth, several streams are groomed on the same wavelength. It is therefore important that such networks are designed in an optimal way in terms of cost while efficiently supporting these types of traffic. This book deals with the design and analysis of optical networks allowing for traffic engineering including grooming and rerouting functionalities. Both deterministic and random traffic scenarios are considered. Under deterministic traffic conditions, optimal as well as accurate heuristic approaches are developed for network design and operation. Under random traffic conditions, the dynamic routing and grooming problem is considered subject to the availability of free network resources. Several algorithms are developed to facilitate this provisioning problem. At last, rerouting techniques and their implementation are addressed in order to enhance network efficiency under specific traffic scenarios.

Keywords: Traffic Engineering, Network Design, Routing and Wavelength Assignment, Optimization Techniques, Traffic Grooming, Rerouting Strategies, Multi-layer Network, ILP Formulation, Meta-heuristic Approaches, Scheduled Traffic Demands, Random Traffic Demands

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