Implementing cloud based opportunistic spectrum access for cognitive radio networks
Radio spectrum regulation continues to hinder flexible access to radio frequency. The prohibition of usage of spectrum if they are underutilized or unused by license holder is leading to spectrum wastage. In the other hand, unlicensed spectrum which is a small fraction of the radio spectrum had witnessed exploration which had led to new wireless standards, technologies and services. To meet the rising demand of radio spectrum, a model that would explore the licensed and unlicensed band during the period when they are not been used is necessary. While much research had been conducted on several cognitive and dynamic spectrum access related topics as a solution to spectrum wastage, research is needed to develop opportunistic spectrum access approach in real-time, distributed, secure and heterogeneous cognitive radio environments. In this paper, our focus is on a distributed spectrum sensing, processing and secure spectrum access. A system sensed spectrum (licensed and unlicensed) and reports occupancy information to a distributed database using Apache Storm programming system for real-time analysis and processing. With the details of the idle bands stored in a database, secondary users can send request to a Storm process in form of data rate and the amount willing to pay for an idle band. On receiving the request, Storm process then perform a search by using the request and the geolocation of secondary users as criteria to assign available band(s). Designs, Apache Storm topologies, processes, and results are presented to demonstrate the proposed model.
Computer Engineering|Information Technology|Information science
"Implementing cloud based opportunistic spectrum access for cognitive radio networks"
ETD Collection for Tennessee State University.