As users in a GPRS/EGPRS network have different Quality of Service (QoS) demands, the network aims to satisfy their demands while maximizing the utilization of the existing resources. A crucial aspect of the resource allocation problem in cellular data networks is the admission control (AC). We propose a new session admission control algorithm that overcomes most of the difficulties encountered by the existing AC algorithms. The novelty of our approach is the use of fuzzy logic (fuzzy inference) for the AC. We demonstrate the efficiency of our AC algorithm by simulations.
Abstract-This article proposes an approach for including user preferences and quality of service characteristics in the selection process of services. Our approach consists of a Domain ontology for the service description vocabulary, and a trader that facilitates user-preference-based service selection, combining imperfect service matching and ranking algorithms. The novelty of our approach lies in the fact that we automatically generate fuzzy rules starting from individual user preferences and use them in a fuzzy inference process that ranks the service candidates. We present our experiments to evaluate our approach using a prototype implementation of a service broker.
The goal of this paper is to investigate the efficiency of different algorithms used for resource allocation in data transfer over EGPRS networks. The focus is on the efficiency during congested periods in order to ensure reduced file transfer delay. A number of algorithms are presented for the resource allocation, and some generic mathematical results are presented for a two coding system. Simulation is relied on to produce results for the algorithms and it is found that Iterative Round Robin (IRR) and Oldest Queue (OQ) produce the best results. These are then proposed to be good candidates for implementing transmission control.
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