Power control based on measurements with statistical uncertainty

Shuangqing Wei; Dennis L. Goeckel

doi:10.1117/12.434448

27 July 2001 Power control based on measurements with statistical uncertainty

Shuangqing Wei, Dennis L. Goeckel

Proceedings Volume 4531, Modeling and Design of Wireless Networks; (2001) https://doi.org/10.1117/12.434448
Event: ITCom 2001: International Symposium on the Convergence of IT and Communications, 2001, Denver, CO, United States

Abstract

In wireless communication systems, power control is a popular technique that can be employed to greatly increase system performance. The general idea is to adjust the transmitted power of each user based on channel characteristics (e.g. path-loss and shadowing) so that each user is received with his/her desired signal-to-interference ratio. Traditional approaches to power control are generally derived assuming that the pertinent channel characteristic on which the power control algorithms are based can be measured accurately. However, due to the effects of the multipath fading and the additive noise inherent to the wireless channel, there can be significant errors in measurements of the average received power. In this paper, the error statistics for average power measurements are considered; in particular, the probability distribution of the value of the average received power at the time of interest conditioned on an outdated measurement is obtained. The resulting expression should have high general utility in the analysis of wireless communication systems; however, in this paper, this expression is employed in the design of optimum power control algorithms that minimize the average transmitted power required to achieve a desired outage probability for a wireless link. It is demonstrated that power control algorithms that accurately take into account uncertainty in the average power measurements can display significant gains over those that employ simple energy margins or approximate models for such purposes.

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Shuangqing Wei and Dennis L. Goeckel "Power control based on measurements with statistical uncertainty", Proc. SPIE 4531, Modeling and Design of Wireless Networks, (27 July 2001); https://doi.org/10.1117/12.434448

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KEYWORDS

Error analysis

Statistical analysis

Control systems

Signal to noise ratio

Telecommunications

Algorithm development

Interference (communication)

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