Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
February 17, 2026
Neural Networks and Rules-based Systems used to Find Rational and
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This paper incorporates a comprehensive study about the distributed power control algorithm in cellular communication systems. The algorithm requires only interference power estimations and/or signal-to-interference ratio (SIR) estimations form the base station, and converge even in cases where limits on available power render the target SIR unattainable. Power control plays an important role to high demand for wireless communication services shows the need for technology to further increase the capacity of cellular communication systems. The capacity of the system is maximized if the transmitter’s power control is controlled so that its signal arrives at base station with minimum required signal-to-interference ratio. Nash equilibrium power provides substantial power savings as compared to the power balancing algorithm and Foschini and Miljanic Algorithm while reducing achieved SIR only slightly. Simulations show that the benefit of the Nash equilibrium power control over the power balancing solution increases as receiver noise power or number of users in the cell increases.
Md. Abdur Rahim. 2013. \u201cSIR-Based Power Control Algorithms in CDMA Networks\u201d. Global Journal of Computer Science and Technology - E: Network, Web & Security GJCST-E Volume 13 (GJCST Volume 13 Issue E10): .
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
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This paper incorporates a comprehensive study about the distributed power control algorithm in cellular communication systems. The algorithm requires only interference power estimations and/or signal-to-interference ratio (SIR) estimations form the base station, and converge even in cases where limits on available power render the target SIR unattainable. Power control plays an important role to high demand for wireless communication services shows the need for technology to further increase the capacity of cellular communication systems. The capacity of the system is maximized if the transmitter’s power control is controlled so that its signal arrives at base station with minimum required signal-to-interference ratio. Nash equilibrium power provides substantial power savings as compared to the power balancing algorithm and Foschini and Miljanic Algorithm while reducing achieved SIR only slightly. Simulations show that the benefit of the Nash equilibrium power control over the power balancing solution increases as receiver noise power or number of users in the cell increases.
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