Resource Allocation and Adaptive Antennas in Cellular Communications
This dissertation presents investigation results on the performance of base station adaptive antennas, power control and channel allocation, as techniques for capacity improvement. Several approaches are analyzed. Firstly, we study the combined use of adaptive antennas and fractional loading factor, in order to estimate the potential capacity improvement achieved by adaptive antennas.
Next, an extensive simulation analysis of a cellular network is carried out aiming to investigate the complex interrelationship between power control, channel allocation and adaptive antennas. In the first part of this simulation analysis, the combined use of adaptive antennas, power control and reduced cluster size is analyzed in a cellular system using fixed channel allocation. In the second part, we analyze the benefits of combining adaptive antennas, dynamic channel allocation and power control. Two representative channel allocation algorithms are considered and analyzed regarding how efficiently they transform reduced co-channel interference into higher carried traffic. Finally, the spatial filtering capability of adaptive antennas is used to allow several users to share the same channel within the same cell. Several allocation algorithms combined with power control are analyzed.
Advisor:Norman C. Beaulieu; William H. Tranter; Brian D. Woerner; Jeff H. Reed; Theodore S. Rappaport; Werner Kohler; Ahmad Safaai-Jazi
School Location:USA - Virginia
Source Type:Master's Thesis
Keywords:electrical and computer engineering
Date of Publication:09/25/2000