Title :
Database access strategy for TV White Space cognitive radio networks
Author :
Caleffi, M. ; Cacciapuoti, A.S.
Author_Institution :
Dept. of Electr. Eng. & Inf. Technol., Univ. of Naples Federico II, Naples, Italy
fDate :
June 30 2014-July 3 2014
Abstract :
Very recently, city administrations launched TV White Space wireless networks to enable the smart city paradigm. These initiatives leverage the possibility allowed by regulations of unlicensed access to the TV White Space spectrum. All theses rulings rely on a periodic access to a database service as the primary mechanism for the unlicensed users to determine the White Space availability. Nevertheless, the specifics of such a mechanism are yet to be determined. In this paper, we address this issue by designing a database access strategy that allows unlicensed users to: i) respect the requirements imposed by the existing rulings; ii) maximize the expected communication opportunities provided by the TV White Space through the on-demand database accesses. To this aim, we prove the database access problem can be modeled as a Markov Decision Process and we provide the closed-form expressions of the transition probabilities. The analytical results are finally validated through simulations.
Keywords :
Markov processes; cognitive radio; probability; smart cities; Markov decision process; TV white space cognitive radio networks; TV white space wireless networks; closed-form expressions; communication opportunities; database access strategy; primary mechanism; smart city paradigm; transition probabilities; unlicensed users; Availability; Conferences; Databases; Markov processes; Sensors; TV; White spaces; Cognitive Radio; Database; Spectrum Sharing; Strategy; TV White Space;
Conference_Titel :
Sensing, Communication, and Networking Workshops (SECON Workshops), 2014 Eleventh Annual IEEE International Conference on
Conference_Location :
Singapore
DOI :
10.1109/SECONW.2014.6979702