A novel algorithm for link adaptation using fuzzy rule based system for wideband networking waveform of SDR

Zeeshan, Muhammad; Khan, Shoab Ahmed

doi:10.1016/j.aeue.2015.06.001

Cited by 6 publications

(1 citation statement)

References 22 publications

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“…Rule based adaptation systems also have some shortcomings and limitations. Zacharias in [14] reports rule based system developers survey results which outline problems related to tool support for such systems development, debugging difficulties and run-time performance problems. Also problems with managing large amount of rules and dealing with conflicting rules should be considered when developing rule based adaptation systems [15].…”

Section: Introductionmentioning

confidence: 99%

Comparative Evaluation of the Rule Based Approach to Representation of Adaptation Logics

Jokste

2019

ETR

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Due to the rapid growth of business processes digitalization, enterprise applications cover more and more business and daily life functions thus becoming more complex. Complex enterprise applications often deal with low users’ satisfaction of usability. This problem can be solved by implementing adaptation algorithms in enterprise applications, so they can be adjusted for specific context situations and specific users’ needs. Some adaptation logics representation techniques are complex and require specific knowledge and skills to manage and modify adaptation process. In this paper rule based adaptation approach is introduced where rules are used as means to manage and modify adaptation process. Rules are easy to read and understand, thereby rule based adaptation should ensure elastic, transparent and easy administrable adaptation process. The goal of this paper is to test this statement by carrying out a comparative adaptation logics representation evaluation experiment. During the experiment participants are required to complete tasks which include different forms of adaptation logics representation (code, rules and models). Experiment results are analyzed by qualitative and quantitative measures such as users’ understandability of applications behavior when adaptation case occurs and users’ satisfaction with adaptation logics representation. Experiment results are summarized and are to be used for further development of the study.

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Section: Introductionmentioning

confidence: 99%