Multicriteria Decision Analysis of Spectrum Management Frameworks for Futuristic Wireless Networks: The Context of Developing Countries

National regulatory authorities (NRAs) in developing countries need an accelerated means to formulate technical regulations for the telecommunications sector. This will enable countries to gain maximum benefits from the rapid advances in technology. The existing regulation-making processes are time-consuming and do not cope with the emergence of global technological changes. This article presents an efficient and quicker approach to formulate regulatory framework to govern the wireless technologies that are based on the Dynamic Spectrum Access (DSA) technique. The approach utilises Multicriteria Decision Analysis (MCDA) tools. The article uses a case study to evaluate dominant Dynamic Spectrum Management (DSM) frameworks. Finally, a sustainable DSM framework that has potential to address the digital divide challenges in the context of developing countries is proposed.

[1]  M. Barbiroli,et al.  White Spaces potentially available in Italian scenarios based on the geo-location database approach , 2012, 2012 IEEE International Symposium on Dynamic Spectrum Access Networks.

[2]  David Manuel Gutiérrez Estévez,et al.  Dynamic Deployment of Small Cells in TV White Spaces , 2015, IEEE Transactions on Vehicular Technology.

[3]  J. Grosspietsch,et al.  Geo-Location Database Techniques for Incumbent Protection in the TV White Space , 2008, 2008 3rd IEEE Symposium on New Frontiers in Dynamic Spectrum Access Networks.

[4]  M. H. Rehmani,et al.  White space : De fi nitional perspectives and their role in exploiting spectrum opportunities , 2016 .

[5]  Mohan Munasinghe,et al.  Addressing sustainable development and climate change together using sustainomics , 2011 .

[6]  Gregory Taylor Spectrum policy in Canada , 2015, IEEE Wireless Communications.

[7]  Linda Doyle,et al.  Spectrum and Energy Efficient Block Edge Mask-Compliant Waveforms for Dynamic Environments , 2014, IEEE Journal on Selected Areas in Communications.

[8]  Simon Haykin,et al.  Cognitive Dynamic System as the Brain of Complex Networks , 2016, IEEE Journal on Selected Areas in Communications.

[9]  Petri Mähönen,et al.  Riding the data tsunami in the cloud: myths and challenges in future wireless access , 2013, IEEE Communications Magazine.

[10]  F. Digham,et al.  Radio Spectrum Policy Reform in Developing Countries , 2008, 2008 3rd IEEE Symposium on New Frontiers in Dynamic Spectrum Access Networks.

[11]  Alec Morton,et al.  Extending the use of scenario planning and MCDA for the evaluation of strategic options , 2011, J. Oper. Res. Soc..

[12]  Sergey Andreev,et al.  Highly dynamic spectrum management within licensed shared access regulatory framework , 2015, IEEE Communications Magazine.

[13]  Jon M. Peha,et al.  Spectrum management policy options , 1998, IEEE Communications Surveys & Tutorials.

[14]  Simon Haykin,et al.  Cognitive radio: brain-empowered wireless communications , 2005, IEEE Journal on Selected Areas in Communications.

[15]  Taoka Hidekazu,et al.  Scenarios for 5G mobile and wireless communications: the vision of the METIS project , 2014, IEEE Communications Magazine.

[16]  Andrew McMeekin,et al.  Consumers, Business and Climate Change , 2009 .

[17]  Lei Zhu,et al.  Protocol to Access White-Space (PAWS) Databases , 2015, RFC.

[18]  Martin Reisslein,et al.  White space , 2016 .

[19]  Jonas Medbo,et al.  Radio propagation modeling for 5G mobile and wireless communications , 2016, IEEE Communications Magazine.

[20]  Jens Zander,et al.  High capacity indoor and hotspot wireless systems in shared spectrum: a techno-economic analysis , 2013, IEEE Communications Magazine.

[21]  Mauro Femminella,et al.  Protection Ratio and Antenna Separation for DVB—T/LTE Coexistence Issues , 2013, IEEE Communications Letters.

[22]  Ricardo Barretto Ferreira Da Silva,et al.  Spectrum regulation in Brazil , 2016, IEEE Wireless Communications.

[23]  Lei Shi,et al.  On the permissible transmit power for secondary user in TV white spaces , 2012, 2012 7th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications (CROWNCOM).

[24]  Michael J. Marcus Upper spectrum use boundary on the move [Spectrum Policy and Regulatory Issues] , 2016, IEEE Wireless Communications.

[25]  Luzango Mfupe,et al.  Geo-location White Space Spectrum Databases: Models and Design of South Africa's First Dynamic Spectrum Access Coexistence Manager , 2014, KSII Trans. Internet Inf. Syst..

[26]  Brian Copsey TV white spaces : approach to coexistence , 2013 .

[27]  Hamid Reza Karimi,et al.  Geolocation databases for white space devices in the UHF TV bands: Specification of maximum permitted emission levels , 2011, 2011 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN).

[28]  Joseph Mitola,et al.  Cognitive radio: making software radios more personal , 1999, IEEE Wirel. Commun..