Titlebook: Radio Resource Management in Cellular Systems; Nishith D. Tripathi,Jeffrey H. Reed,Hugh F. VanLan Book 2001 Springer-Verlag US 2001 Qualit

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Analysis of Handoff and Radio Resource Management Algorithms,imulation, and emulation, are briefly discussed. Basic constituents of simulation mechanisms for handoff are explained. Handoff simulation models used and developed for this research are described. Data traffic models that allow analysis of data systems are summarized. Simulation framework for the analysis of radio resource management is outlined.

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Microcellular Handoff Algorithms, good basic adaptive algorithm suitable for a microcellular environment. Adaptation to traffic, interference, and mobility has been superimposed on the basic direction-biased algorithm. It is shown that the proposed algorithms provide high performance in generic handoff scenarios in a microcellular system.

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Handoff and Radio Resource Management in Cellular Systems,ough cells of a service area. Users also expect to be able to make calls at any time and to have good, clear connections. These user demands are addressed through the management of radio resources. Handoff is an important aspect of the radio resource management. Handoff makes a continuous connection

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A Generic Fuzzy Logic Based Handoff Algorithm,rameters using fuzzy logic. Known sensitivities of handoff parameters are used to create a fuzzy logic rule base. The design procedure for a generic fuzzy logic based algorithm is outlined. Extensive simulation results for a conventional handoff algorithm (absolute and relative signal strength based

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A Neural Encoded Fuzzy Logic Algorithm,nown sensitivities of handoff parameters can be used to design an FLS, which can then be used to adapt the handoff parameters to obtain improved performance in a dynamic cellular environment. However, the FLS has large storage requirements and high computational complexity. This chapter proposes neu