abstract

• We introduce a two-loop power control that allows an efficient use of the overall power resources for commercial wireless networks based on cross-layer optimization. This approach maximizes the network%27s utility in the outer-loop as a function of the averaged signal to interference-plus-noise ratio (SINR) by considering adaptively the changes in the network characteristics. For this purpose, the concavity property of the utility function was verified with respect to the SINR, and an iterative search was proposed with guaranteed convergence. In addition, the outer-loop is in charge of selecting the detector that minimizes the overall power consumption (transmission and detection). Next the inner-loop implements a feedback power control in order to achieve the optimal SINR in the transmissions despite channel variations and roundtrip delays. In our proposal, the utility maximization process and detector selection and feedback power control are decoupled problems, and as a result, these strategies are implemented at two different time scales in the two-loop framework. Simulation results show that substantial utility gains may be achieved by improving the power management in the wireless network. © 2014 Daniel U. Campos-Delgado et al.
• We introduce a two-loop power control that allows an efficient use of the overall power resources for commercial wireless networks based on cross-layer optimization. This approach maximizes the network's utility in the outer-loop as a function of the averaged signal to interference-plus-noise ratio (SINR) by considering adaptively the changes in the network characteristics. For this purpose, the concavity property of the utility function was verified with respect to the SINR, and an iterative search was proposed with guaranteed convergence. In addition, the outer-loop is in charge of selecting the detector that minimizes the overall power consumption (transmission and detection). Next the inner-loop implements a feedback power control in order to achieve the optimal SINR in the transmissions despite channel variations and roundtrip delays. In our proposal, the utility maximization process and detector selection and feedback power control are decoupled problems, and as a result, these strategies are implemented at two different time scales in the two-loop framework. Simulation results show that substantial utility gains may be achieved by improving the power management in the wireless network. © 2014 Daniel U. Campos-Delgado et al.

authors

• Campos Delgado Daniel Ulises
• Gutiérrez C.A.
• Luna Rivera José Martin
• Martinez-Sánchez C.J.
• Tecpanecatl Xihuitl José Luis

publication date

• 2014-01-01

published in

• The Scientific World Journal  Journal

keywords

• article; energy conservation; energy consumption; energy cost; feedback system; network efficient power control; semiconductor; signal detection; signal noise ratio; simulation; wireless communication; computer network; theoretical model; Computer Communication Networks; Models, Theoretical; Signal-To-Noise Ratio; Wireless Technology

Digital Object Identifier (DOI)

• 10.1155/2014/650653

PubMed ID

• 24683350

start page

end page

volume

• 2014