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 Macaluso | 1 | 119 | 22.24 |
Horia D. Cornean | 2 | 3 | 0.46 |
Nicola Marchetti | 3 | 192 | 33.90 |
Linda E. Doyle | 4 | 304 | 34.70 |