4,586 research outputs found
A Soft Computing Approach to Dynamic Load Balancing in 3GPP LTE
A major objective of the 3GPP LTE standard is the provision of high-speed data services. These services must be guaranteed under varying radio propagation conditions, to stochastically distributed mobile users. A necessity for determining and regulating the traffic load of eNodeBs naturally ensues. Load balancing is a self-optimization operation of self-organizing networks (SON). It aims at ensuring an equitable distribution of users in the network. This translates into better user satisfaction and a more efficient use of network resources. Several methods for load balancing have been proposed. Most of the algorithms are based on hard (traditional) computing which does not utilize the tolerance for precision of load balancing. This paper proposes the use of soft computing, precisely adaptive Neuro-fuzzy inference system (ANFIS) model for dynamic QoS aware load balancing in 3GPP LTE. The use of ANFIS offers learning capability of neural network and knowledge representation of fuzzy logic for a load balancing solution that is cost effective and closer to human intuitio
Permeability Analysis based on information granulation theory
This paper describes application of information granulation theory, on the
analysis of "lugeon data". In this manner, using a combining of Self Organizing
Map (SOM) and Neuro-Fuzzy Inference System (NFIS), crisp and fuzzy granules are
obtained. Balancing of crisp granules and sub- fuzzy granules, within non fuzzy
information (initial granulation), is rendered in open-close iteration. Using
two criteria, "simplicity of rules "and "suitable adaptive threshold error
level", stability of algorithm is guaranteed. In other part of paper, rough set
theory (RST), to approximate analysis, has been employed >.Validation of the
proposed methods, on the large data set of in-situ permeability in rock masses,
in the Shivashan dam, Iran, has been highlighted. By the implementation of the
proposed algorithm on the lugeon data set, was proved the suggested method,
relating the approximate analysis on the permeability, could be applied.Comment: 8 pages,7 figure
Modeling of Social Transitions Using Intelligent Systems
In this study, we reproduce two new hybrid intelligent systems, involve three
prominent intelligent computing and approximate reasoning methods: Self
Organizing feature Map (SOM), Neruo-Fuzzy Inference System and Rough Set Theory
(RST),called SONFIS and SORST. We show how our algorithms can be construed as a
linkage of government-society interactions, where government catches various
states of behaviors: solid (absolute) or flexible. So, transition of society,
by changing of connectivity parameters (noise) from order to disorder is
inferred
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