Authors:
Abdallah S. Ghazy
1
;
Hossam A. I. Selmy
2
and
Hossam M. H. Shalaby
1
Affiliations:
1
Egypt-Japan University of Science and Technology (E-JUST), Egypt
;
2
Cairo University, Egypt
Keyword(s):
Free Space Optical, Rainy Weather Influence, Dynamic Networks, Relayed Networks, Resource Allocation Scheme, Lexicographic and Lex-Max-Min Optimization Theories.
Related
Ontology
Subjects/Areas/Topics:
Optical Communications and Networking
;
Optics
;
Photonics, Optics and Laser Technology
Abstract:
Free space optical (FSO) connections present promising solution for the limited access issue of the last mile networks. However, several factors contribute to significant FSO link performance degradation. One of Most serious conditions is the influence of the rain, that frequently appear, thus making the implementation of strongly connected FSO networks a demanding issue. Dynamic FSO networks is attractive ones over the robust static ones, i.e, partial and full relayed networks, for this demanding issue. In this paper two new resource allocation Schemes are proposed for cooperative-dynamic FSO networks, as attractive solution for both atmospheric variation and high cost of robust static network problems. Each Scheme is formulated as integer linear multi-objective optimization problem (ILP-MOP), where reliability-fairness, capacity and bit-error rate functions are targeted. And each scheme is composed of lexicographic, lex-max-min and lex-min-max criteria. Each ILP-MOP is solved
using exhaustive search method to obtain the guaranteed optimal solution(s). The simulation results is used to reveal that two schemes are more reliable-fairness and cost efficient than the robust static topology, specially at sever weather conditions. Also, the results show the two schemes have different behavior, where one prioritize the reliability-fairness over capacity utilization and the another does the opposite.
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