DEVELOPMENT OF SPECTRUM OPTIMIZATION IN WHITE SPACES USING SPECTRUM SENSING AND GEOLOCATION TECHNIQUES

SOURCE:

Faculty: Physical Sciences
Department: Computer Science

CONTRIBUTORS:

Adigwe, W.
Okonkwo, O. R.

ABSTRACT:

Today, wireless networks are characterized by a static spectrum assignment policy. Day after day, there has been an increasing demand in this technological area due to its benefits to human activities and exploration. This spectacular growth in wireless services had also resulted to an increase in spectrum demand to meet up with the human quest. However, an increase in voice demand has been experienced as more people unplug their wired phones and rely strictly on wireless devices for all of their calling needs. Researches from numerous authors have it that radio spectrum has become a scarce commodity due to its high demand. To alleviate the spectrum overcrowding problem, this research went into considering an alternative means. The vacant spectrum allocated to TV broadcast was considered as the most suitable solution to the spectrum crunch. With TV White Spaces (TVWS) which referred to the unoccupied portions of spectrum in the UHF/VHF terrestrial television frequency bands, the aforementioned problem will be overcome. Analysis of its availability were first considered in four locations namely Asaba and environ, Awka and environs, Nkpor and environ, Ubulu-Uku and environ. To achieve optimal channel allocation with high quality of service (QoS), the object oriented development methodology and geolocation techniques were used, also rule based system were employed to formulate the inference rule for the knowledge base, while Genetic algorithm was used to optimize the fitness of the channel for allocation. The hypertext Preprocessor (PHP) with cascading style sheet (CSS) and JavaScript were used as the programming language to achieve this task. Our result showed that over 70 percent available spectra detected and unutilized can be utilized without causing harmful interference to the primary users.