Graduation Year
2011
Document Type
Thesis
Degree
M.S.E.E.
Degree Granting Department
Electrical Engineering
Major Professor
Hüseyin Arslan, Ph.D.
Committee Member
Richard Gitlin, Sc.D.
Committee Member
Wilfrido Moreno, Ph.D.
Keywords
Adaptive Cluster Size, Capacity Maximization and Optimization, Channel Allocation, Grade of Service, Overlaid Cellular Architectures
Abstract
Conventional cellular systems have not taken full advantage of fractional frequency reuse and adaptive allocation due to the fixed cluster size and uniformed channel assignment procedures. This problem may cause more fatal consequences considering the cutting-edge 4G standards which have higher data rate requirements such as 3GPP-LTE and IEEE 802.16m (WiMAX). In this thesis, three different partitioning schemes for adaptive clustering with fractional frequency reuse were proposed and investigated. An overlaid cellular clustering scheme which uses adaptive fractional frequency reuse factors would provide a better end-user experience by exploiting the high level of signal to interference ratio (SIR). The proposed methods are studied via simulations and the results show that the adaptive clustering with different partitioning methods provide better capacity and grade of service (GoS) comparing to the conventional cellular architecture methodologies.
Scholar Commons Citation
Aki, Hazar, "Resource Allocation Methodologies with Fractional Reuse Partitioning in Cellular Networks" (2011). USF Tampa Graduate Theses and Dissertations.
https://digitalcommons.usf.edu/etd/2979
