• Mar 31, 2016 News!JACN Vol.3, No.3 has been indexed by EI (inspec)!   [Click]
  • Jun 24, 2016 News!JACN Vol.4, No.2 has been published with online version. 15 papres about advances in computer networks are published in this issue.   [Click]
  • Mar 31, 2016 News!JACN Vol.3, No.2 has been indexed by EI (inspec)!   [Click]
General Information
    • ISSN: 1793-8244
    • Frequency: Quarterly
    • DOI: 10.18178/JACN
    • Editor-in-Chief: Dr. Ka Wai Gary Wong
    • Executive Editor: Ms. Julia S. Ma
    • Abstracting/ Indexing: EI (INSPEC, IET), Engineering & Technology Digital Library, DOAJ, Electronic Journals Library, Ulrich's Periodicals Directory, International Computer Science Digital Library (ICSDL), ProQuest, and Google Scholar.
    • E-mail: jacn@ejournal.net
Editor-in-chief
Dr. Ka Wai Gary Wong
Department of Mathematics and Information Technology The Hong Kong Institute of Education, Hong Kong
It's a honor to serve as the editor-in-chief of JACN. I'll work together with the editors and reviewers to help the journal progress
JACN 2016 Vol.4(1): 19-23 ISSN: 1793-8244
DOI: 10.18178/JACN.2016.4.1.197

Radio Spectrum Valuation by Applying the Artificial Neural Network Model

S. Malisuwan, N. Suriyakrai, and N. Madan
Abstract—As radio spectrum is a key resource for many technology-based industries and most promising industries of the future including broadcasting, telecommunications, military defense, industrial, medical and even domestic applications. These radio spectrum licenses are inputs into these business sectors that provide services to the public. The radio spectrum management and its valuation have turned out to be of vital importance in recent years due to the rapid development of mobile broadband communication. As a result of such popular demand of spectrum in this past decade, spectrum value is absolutely critical to policy analysis, as well as to encouraging investment in the telecom industry. This paper presents and proposes the radio spectrum valuation method by applying Artificial Neural Network model (ANN). The contributions in this paper could assist telecom policy makers to gain more understanding in development of radio spectrum valuation.

Index Terms—Radio spectrum, valuation, neural network, model.

The authors are with the National Broadcasting and Telecommunications Commission Bangkok, Thailand (e-mail: settapong.m@nbtc.go.th, nattakit.s@nbtc.go.th, navneet.m@nbtc.go.th).

[PDF]

Cite:S. Malisuwan, N. Suriyakrai, and N. Madan, "Radio Spectrum Valuation by Applying the Artificial Neural Network Model," Journal of Advances in Computer Networks vol. 4, no. 1, pp. 19-23, 2016.

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