Title
Complex communication systems achieving interference-free frequency allocation
Abstract
Telecommunication systems have evolved, from being simple monolithic structures to complex ones. The present paper is an attempt to recast telecom systems in the language of complex systems. As a specific application of complex systems science to telecom systems, we tackle the problem of self-organizing frequency allocation. For this purpose, we model the problem of frequency assignment within the framework of cellular automata and we present an algorithm that reaches an interference-free allocation of the channels in a finite number of steps. By applying a measure of spatial structure and pattern to the two-dimensional lattice representing the frequency allocation, our study shows that autonomous networks assigning frequencies to their cells in a self-organized way, can be defined and therefore studied as complex systems. On the contrary, traditional networks based on centralized pre-planned frequency allocation cannot be considered as complex, according to the meaning given to the word by complex systems science. The present paper is to be considered as a step towards a comprehensive and rigorous study of Complex Communication Systems (CCS), adopting in communication networks design and analysis, the results and philosophy underlying the emerging multi-disciplinary field of Complex Systems Science.
Year
DOI
Venue
2014
10.1109/ICC.2014.6883525
Communications
Keywords
DocType
ISSN
cellular automata,channel allocation,frequency allocation,interference suppression,large-scale systems,self-adjusting systems,ccs,autonomous networks assigning frequencies,centralized preplanned frequency allocation,communication networks design,complex communication systems,complex systems science,frequency assignment,interference-free allocation,self-organizing frequency allocation,spatial structure,telecom systems,telecommunication systems,two-dimensional lattice
Conference
1550-3607
Citations 
PageRank 
References 
3
0.46
10
Authors
4
Name
Order
Citations
PageRank
Irene Macaluso111922.24
Horia D. Cornean230.46
Nicola Marchetti319233.90
Linda E. Doyle430434.70