Abstract
As the industries based on spectrum were developing rapidly in recent decades, spectrum management is getting more complex and difficult. Aside for technical factors, other aspects need to be considered. The report ITU-R SM.2012-2 took economic aspects into account. It is urgent to set up a new framework for spectrum management. Evaluation on technology, economic and other field is valuable for spectrum management in China. This paper builds a novel spectrum management framework on the basis of big data. The objective of the model is to evaluate the efficiency of the utilization of spectrum resource. The framework classifies spectrum resource into two kinds commercial spectrum and non-commercial spectrum. Each kind of spectrum can be evaluated by several indices. The indices contain four dimensions: technology, micro economy, macro economy and sustainability. The application result of this framework in Ningbo is presented in this paper to illustrate its validity.
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References
Pang J, Wang T, Li J et al (2013) Spectrum requirements estimation for the future imt systems: current work and way forward. Commun Netw 5
Review of Radio Spectrum Management, Martin Cave, 2002. ofcom.org.uk
Adachi K, Adachi F, Nakagawa M (2007) On cellular MIMO spectrum efficiency. IEEE Veh Technol Conf, 417–421
Chakravarthy V, Li X, Wu Z et al (2009) Novel overlay/underlay cognitive radio waveforms using Sd-Smse framework to enhance spectrum efficiency-part I: theoretical framework and analysis in awgn channel. IEEE Trans Commun 57(12):3794–3804
Kishi M, Tajima J, Kanmuri N et al (1983) Digital signal processing spectrum inversion for analog speech channels. IEEE Trans Veh Technol 32(4):254–259
Doyle L, Forde T (2007) Towards a fluid spectrum market for exclusive usage rights. In: 2nd IEEE International symposium new frontiers in dynamic spectrum access networks, DySPAN, pp 620–632
Lehr W, Crowcroft J (2005) Managing shared access to a spectrum commons. In: First IEEE International symposium new frontiers in dynamic spectrum access networks, Dyspan, pp 420–444
Hazlett TW (2006) The spectrum-allocation debate: an analysis. IEEE Internet Comput 10(5):68–74
Liu L, Chen R (2013) Construction of big data model for radio management. In: Proceedings of the national radio application and management
Li Y, Shen J (2006) The tentative ideas of establishing the radio management capability comprehensive evaluation index system. China Radio 1:23–28
Lunndborg M (2013) Spectrum pricing—theoretical approaches and practica, In: Summit LS(ed) Implementation, Lichtenau, 3 July 2013
Yan J, Lv T (2011) Study on the economic value assessment system of radio spectrum. J Beijing Univ Post Telecommun: Soc Sci Ed 4:51–56. doi:10.3969/j.issn.1008-7729.2011.04.010
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Jian, S., Zhang, J. (2016). A Comprehensive Framework to Evaluate the Utilization of Spectrum Resource. In: Liang, Q., Mu, J., Wang, W., Zhang, B. (eds) Proceedings of the 2015 International Conference on Communications, Signal Processing, and Systems. Lecture Notes in Electrical Engineering, vol 386. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49831-6_30
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DOI: https://doi.org/10.1007/978-3-662-49831-6_30
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