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Analyzing the Errors in Channel Sensing and Negotiation in Cognitive Radio H-CRAN

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Edge Analytics

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 869))

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Abstract

A heterogeneous cloud radio access network with low power nodes has emerged as an attractive cost-effective solution to the problem of enormous growth in data over the cellular network. Ever-increasing low power nodes such as femtocells in macrocell’s coverage area for indoor communication cause severe cross-tier interference to the umbrella macrocell network. One of the promising paradigms to avoid this interference is cognitive radio-enabled heterogeneous cloud radio access network architecture. In this paper, two mechanisms, channel sensing and channel negotiation, for allocating channels to femtocell users have been proposed suitable for this architecture. After identifying an idle slot by channel sensing, a femtocell user requests the base station pool for free channel suggestions and senses the listed channels later. Femtocell user equipment does not wait for the next slot to sense another channel on identifying an occupied channel in a slot. Two and three types of error in sensing and negotiation, respectively, have been defined. Poisson traffic model is developed for generating macrouser traffic. Throughput has been analyzed by varying macrouser arrival rate, the number of femtocell users, the average service time of macrouser, and sensing time considering the errors in sensing and negotiation mechanisms. Simulation results have shown that the maximum throughput for error-free sensing and negotiation in case of low macrouser traffic is 27 Mbps. A difference of 10 Mbps between maximum throughput without any error and throughput with sensing and negotiation errors is also observed.

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Authors and Affiliations

  1. Chittagong University of Engineering and Technology, Chittagong, 4349, Bangladesh

    Annesha Das,  Asaduzzaman & Ashim Dey

Authors
  1. Annesha Das
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  2. Asaduzzaman
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  3. Ashim Dey
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Corresponding author

Correspondence to Annesha Das .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, National Institute of Technology Silchar, Silchar, Assam, India

    Ripon Patgiri

  2. National Institute of Technology Silchar, Silchar, Assam, India

    Sivaji Bandyopadhyay

  3. Department of Computer Science and Engineering, National Institute of Technology Silchar, Silchar, Assam, India

    Malaya Dutta Borah

  4. Aurel Vlaicu University of Arad, Arad, Romania

    Valentina Emilia Balas

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Das, A., Asaduzzaman, Dey, A. (2022). Analyzing the Errors in Channel Sensing and Negotiation in Cognitive Radio H-CRAN. In: Patgiri, R., Bandyopadhyay, S., Borah, M.D., Emilia Balas, V. (eds) Edge Analytics. Lecture Notes in Electrical Engineering, vol 869. Springer, Singapore. https://doi.org/10.1007/978-981-19-0019-8_33

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  • DOI: https://doi.org/10.1007/978-981-19-0019-8_33

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-0018-1

  • Online ISBN: 978-981-19-0019-8

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