Abstract—As wireless technology advances, demand for spectrum bandwidth increases and thus, spectrum has become scarce. As a scarce resource, spectrum bandwidths need to be efficiently allocated to potential service providers. Hence, this paper first reviews current approaches on how spectrum bandwidths are being allocated to the service providers. Then we present an efficient integrated approach in allocating spectrum volumes, whereby the approaches of Analytic Hierarchy Process and Integer Programming are integrated and applied to produce systematic and consistent allocation results. The integrated approach is able to cater multi-criteria problems through determination of suitable weights and computations, which exhibits a more efficient alternative as compared to the existing approaches. The illustrations revealed that the integrated approach indeed has the potential to be implemented and gives an alternative to the current existing approaches.
Index Terms—Spectrum allocation problem, integer programming, analytic hierarchy process
R. Ramli, M. N. E. A. B. Engku, N. I. Mahat, and Jamaluddin are with the
School of Quantitative Sciences, College of Arts and Sciences, University
Utara Malaysia, 06010 Sintok, Kedah, Malaysia (e-mail:
razamin@uum.edu.my; enazri@uum.edu.my; noridayu@uum.edu.my;
e-mail: miss_atira@yahoo.com).
M. Y. Alias is with the Faculty of Engineering, Multimedia University,
63100 Cyberjaya, Selangor, Malaysia (email: yusoff@mmu.edu.my).
M. Z. A. Karim is with the School of Economics, Finance and Islamic
Banking, College of Business, University Utara Malaysia, 06010 Sintok,
Kedah, Malaysia (email: zaini500@uum.edu.my).
C. L. Ang was with the School of Quantitative Sciences, College of Arts
and Sciences, Universiti Utara Malaysia, 06010 Sintok, Kedah but is now
deceased.
Cite: Razamin Ramli, Faathirah Jamaluddin, Engku Muhammad Nazri E. A. Bakar, Mohamad Yusoff Alias, Nor Idayu Mahat, Mohd Zaini Abd Karim, and Ang Chooi Leng, "Modeling of Spectrum Demands through Hybrids of Analytic Hierarchy Process and Integer Programming," International Journal of Modeling and Optimization vol. 1, no. 5, pp. 368-374, 2011.
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