Accession Number:

ADA523859

Title:

Predicting the Demand for Spectrum Allocation through Auctions (PREPRINT)

Descriptive Note:

Technical paper preprint 8 Sep 2006-31 Aug 2009

Corporate Author:

GRAMBLING STATE UNIV LA DEPT OF MATHEMATICS AND COMPUTER SCIENCE

Personal Author(s):

Report Date:

2010-06-01

Pagination or Media Count:

8.0

Abstract:

The projected rare resource spectrum generates high profits if utilized efficiently. The current static allocation lead the spectrum to underutilized with fixed income. Predicting the user requirement for spectrum and auctioning the spectrum helps to better serve the customers and at the same time increases the income. In this research we use the automated collaborative filtering model for predicting the customer requirement and then allocate the spectrum through auctions bidding for spectrum in open market. Genetic algorithm is used for optimization of the spectrum bidding problem and concluded that the spectrum will be used efficiently while generating more revenue by bidding for spectrum in the market.

Subject Categories:

  • Administration and Management
  • Numerical Mathematics
  • Computer Programming and Software
  • Miscellaneous Detection and Detectors
  • Radiofrequency Wave Propagation

Distribution Statement:

APPROVED FOR PUBLIC RELEASE