A Non‑cooperative Uplink Power Control for CDMA Wireless Communication System

In this project, the main focus is to enhance the existing power control algorithm that is applied in a single cell of CDMA network. Nash algorithm is selected and is further improved with modifcation of its cost function with a value as power of target SINR, which to reduce the SINR error at frst i...

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Bibliographic Details
Main Authors: Ali Farzamnia, Eng Soo Yew, Ervin Gubin Moung
Format: Article
Language:English
English
Published: 2020
Subjects:
Online Access:https://eprints.ums.edu.my/id/eprint/26415/1/A%20Non%20cooperative%20Uplink%20Power%20Control%20for%20CDMA%20Wireless%20Communication%20System.pdf
https://eprints.ums.edu.my/id/eprint/26415/2/A%20Non%20cooperative%20Uplink%20Power%20Control%20for%20CDMA%20Wireless%20Communication%20System1.pdf
https://eprints.ums.edu.my/id/eprint/26415/
https://doi.org/10.1007/s11277-020-07419-7
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Institution: Universiti Malaysia Sabah
Language: English
English
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Summary:In this project, the main focus is to enhance the existing power control algorithm that is applied in a single cell of CDMA network. Nash algorithm is selected and is further improved with modifcation of its cost function with a value as power of target SINR, which to reduce the SINR error at frst iteration, so as to increase the rate of convergence efectively. Decision of a value is important to ensure the SINR error is reduced at frst iter ation. The uniqueness and algorithm convergence of enhanced cost function is proven with certain conditions requirements. Therefore, enhanced Nash algorithm (ENA) is proposed which only applicable in frst iteration of power control method. The rest of iterations are applied by Nash algorithm due to its better convergence to target SINR. After simulations, with consideration of Rayleigh and Rician fading channels, a signifcant increase in rate of convergence while maintaining the SINR with error less than 0.01 is shown. The transmit ted power is lower in some scenarios, or with very slight reduction less than 0.5%. The SINR error at frst iteration is reduced about 20% more by using ENA. In overall, ENA has better performance than the existing Nash algorithm in terms of transmitted power and rate of convergence, without compromising SINR.