Analysis of Signal-to-Interference Ratio Estimation Methods for Wireless Communication Systems
01 January 2001
PREVIOUS TITLE: Signal-to-Interference-Plus-Noise Ratio Estimation for Wireless Communication The Signal-to-Interference-Plus-Noise Ratio (SINR) is an important metric of woreless communication link quality. SINR estimates have several important applications. These include optimizing the transmit power level for a target quality of service assisting with handoff decisions and dynamically adapting the data rate for wireless Internet applications. Accurate SINR estimation provides for both a more efficient system and a higher use-perceived quality of service. In this paper, we develop new SINR estimators and compare their mean squared error (MSE) performance. We show that our estimators dominate estimators that have previously appeared in the literature.