Μελέτη και ανάπτυξη αλγόριθμων εμπνευσμένων από τη βιολογία (bio-inspired) για τη βελτιστοποίηση δικτύων επικοινωνιών
Master Thesis
Date
2009-02-16View/
Abstract
An analogy with the way of how ants solve their food discovery problem has been suggested in order to solve difficult and hard NP-complete optimization problems. It is called Ant Colony Optimization (ACO) and has a positive feedback from the network community through its greedy metaheuristic, the distributed usage and the ability to be applied in the most up-to-date network problems. In this survey, ACO is used to model a Subcarrier Allocation Algorithm (ACO-SAA) destined to the allocation of subcarriers in an OFDMA-based wireless system. The proposed ACO-SAA is mathematically formulated and validated via indicative simulation results showcasing its ability to obtain near optimal solution with minimal time consumption.
Language
GreekCollections
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Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 4.0 Διεθνές
Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 4.0 Διεθνές