A Distributed Fuzzy-based Hierarchical Resource Allocation Strategy

Abstract

Fair resource allocation is an important and challenging issue for many telecommunication service providers. Many researchers are investigating fast and efficient algorithms which can provide such fair rates in a distributed manner. It is well-known that, for any rate allocation algorithm, almost all of the bottlenecks occur in the access part of the network. In the current work, we use this inherent feature for designing hierarchical methods of resource allocation and then with the use of the fast Newton method and fuzzy algorithms, we improve the convergence speed of the algorithm in comparison with the conventional ones. An important feature of the proposed method in comparison with the previous fuzzy implementations is its distributed nature, because there is no need for feedback from the core network in developing the desired fuzzy method.

Simulations and fuzzy systems for resource reallocation

“…There are precedents in the literature on the use of fuzzy logic to aid in decision-making and resource handling. In Goudarzi et al, 1 a fuzzy controller is used to detect the bottlenecks that occur in telecommunications services and to try to improve speed, since the fuzzy system proposed allows for resources to be redistributed and does not require feedback, relying instead on previous and current estimates. Pertselakis et al 2 use neurofuzzy systems to redistribute resources via a neurofuzzy architecture that combines resource distribution procedures and fuzzy sets to incorporate inference and expert knowledge.…”