scholarly journals An Analysis of Pilot Power Based Power Control and Dynamic Load Sharing in Cellular CDMA Networks

Author(s):  
Maheswaran Subramaniam

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 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. 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 propogation 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.

2021 ◽  
Author(s):  
Maheswaran Subramaniam

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 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. 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 propogation 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.


2007 ◽  
Vol 5 ◽  
pp. 379-384 ◽  
Author(s):  
M. A. Baldauf ◽  
W. Sörgel ◽  
W. Wiesbeck

Abstract. This paper analyzes the effect of a change in cell size and of transmit power control on the human exposure to electromagnetic fields. In a simplified network configuration the well accepted COST-Hata model is considered to assess the path loss. It is shown that increasing the base station density will not generally raise the exposure but can rather help to lower it significantly. The exposure due to base stations is hardly affected by allowing a transmit power reduction at the base station for individual links. In contrast to this, it is demonstrated that transmit power control at the mobile station is a helpful means to lower the exposure efficiently.


1993 ◽  
Vol 29 (13) ◽  
pp. 1195 ◽  
Author(s):  
M.M. Wang ◽  
O.K. Tonguz

Author(s):  
Shixun Wu ◽  
Min Li ◽  
Miao Zhang ◽  
Kai Xu ◽  
Juan Cao

AbstractMobile station (MS) localization in a cellular network is appealing to both industrial community and academia, due to the wide applications of location-based services. The main challenge is the unknown one-bound (OB) and multiple-bound (MB) scattering environment in dense multipath environment. Moreover, multiple base stations (BSs) are required to be involved in the localization process, and the precise time synchronization between MS and BSs is assumed. In order to address these problems, hybrid time of arrival (TOA), angle of departure (AOD), and angle of arrival (AOA) measurement model from the serving BS with the synchronization error is investigated in this paper. In OB scattering environment, four linear least square (LLS), one quadratic programming and data fusion-based localization algorithms are proposed to eliminate the effect of the synchronization error. In addition, the Cramer-Rao lower bound (CRLB) of our localization model on the root mean-square error (RMSE) is derived. In hybrid OB and MB scattering environment, a novel double identification algorithm (DIA) is proposed to identify the MB path. Simulation results demonstrate that the proposed algorithms are capable to deal with the synchronization error, and LLS-based localization algorithms show better localization accuracy. Furthermore, the DIA can correctly identify the MB path, and the RMSE comparison of different algorithms further prove the effectiveness of the DIA.


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