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SIMULATION OF WIRELESS COMMUNICATION BASED ADAPTIVE SYSTEM

Published In: INTERNATIONAL CONFERENCE ON RECENT TRENDS IN COMPUTING AND COMMUNICATION ENGINEERING
Author(s): ABHINAV DOGRA , ANSHUL PANWAR , KAMAL SINGH , RAJESH RANA

Abstract: In wireless communications, fading is deviation of the attenuation affecting a signal over certain propagation media. The fading may vary with time, geographical position or radio frequency, and is often modeled as a random process. A fading channel is a communication channel comprising fading. Fading mitigation techniques are used to avoid the attenuation presented in a wireless communication system. Adaptive systems are the examples of the fading mitigation techniques. In this paper an adaptive system is simulated using MATLAB, which can switch its transmission and reception characteristics according the bit error rate (BER) between the sent and received data. The system will commute in a certain value that will be established by the user. The characteristics of the system based on the standard wireless communication system. So, an adaptive system was created with two modes: one with only modulation (64QAM) and the other with modulation (64QAM) and coding (Reed Solomon (64,48). The B

  • Publication Date: 21-Apr-2013
  • DOI: 10.15224/978-981-07-6184-4-47
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AN ECOLOGICAL MODEL OF GENETIC ALGORITHM FOR INTERPRETATION OF THE DATA

Published In: INTERNATIONAL CONFERENCE ON RECENT TRENDS IN COMPUTING AND COMMUNICATION ENGINEERING
Author(s): MANJIT KAUR

Abstract: Ecological modeling covers a wide collection of methods and ideas of study. The variety of the suitable model is a part of any interpretation of ecological data. That variety is most often made randomly and the selection is frequently closely weighted by the knowledge of the programmer with the special model. Genetic Algorithm, which symbolizes a group of algorithms, intended to search the best alternative solution to a specified problem by using thoughts from natural science, biology, mainly genetics, offer another approach to model selection [3]. This paper presents a review of BEAGLE which is used for interpreting the ecological data behind the application of genetic algorithm.

  • Publication Date: 21-Apr-2013
  • DOI: 10.15224/978-981-07-6184-4-48
  • Views: 0
  • Downloads: 0