| Power control is one of the most important processes in cellular CDMA networks as the interference is the predominant factor that influences the capacity and signal to noise and interference ratio (SINR). In mobile communication, minimizing the mobile transmitted power subject to maintaining the link quality is a challenging task. In this thesis, a pilot power based power control (PPBPC) algorithm integrated with base station assignment is proposed which is decentralized, uses transmit power control and adapts cell sizes for load distribution.;It is shown that using the PPBPC algorithm, uniform SINR is achieved for all users in each cell in homogeneous (in terms of required bit rate and bit error rate) user environment and it occurs when the algorithm converges at a load balanced point. Theoretical and simulation results are in very close agreement.;Unlike previously proposed algorithms in the literature, our proposed algorithm does not require prior knowledge of the channel gains between the users and the base stations, and this scheme does not require extensive computation as well. We also investigate the system performance with various load conditions and conclude that the load balanced system performs better than a load unbalanced system. The simulation study shows that in a load balanced system, the maximum received power at the base stations is minimized that leads to interference balancing of the system.;In the proposed algorithm, each base station transmits its forward link pilot power inversely proportional to the total reverse link received power. The mobile station senses the strongest pilot power received and determines its home base station. Using the proposed algorithm, dynamic propagation of base station assignment occurs which leads to re-assignment of home base stations system-wide reducing the total mobile transmit power. The simulation results are the evidence for the feasibility of the implementation of the algorithm. |
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