초록 ▼

A method and system for rating a data communication session between a network and a wireless device is disclosed. According to an exemplary aspect of the method, the method monitors a series of events, namely, a setup event, a begin event and an end event, which take place during a communication ses

A method and system for rating a data communication session between a network and a wireless device is disclosed. According to an exemplary aspect of the method, the method monitors a series of events, namely, a setup event, a begin event and an end event, which take place during a communication session. The monitoring of such events is accomplished by a data rating application which resides on the wireless device. By monitoring such events, the data rating application is then able to rate the communication session using a number of rating methods. The rating method selected includes both how to meter the data transmitted during a data communication session and determine the rate to be applied to each metered increment. Examples of methods used to meter the data include time and volume. Different rating methods which can be used to rate the communication session include, for example, application, data utilization, source of data, data type, class of service, quality of service and transmission efficiency.

대표청구항 ▼

A method and system for rating a data communication session between a network and a wireless device is disclosed. According to an exemplary aspect of the method, the method monitors a series of events, namely, a setup event, a begin event and an end event, which take place during a communication ses

A method and system for rating a data communication session between a network and a wireless device is disclosed. According to an exemplary aspect of the method, the method monitors a series of events, namely, a setup event, a begin event and an end event, which take place during a communication session. The monitoring of such events is accomplished by a data rating application which resides on the wireless device. By monitoring such events, the data rating application is then able to rate the communication session using a number of rating methods. The rating method selected includes both how to meter the data transmitted during a data communication session and determine the rate to be applied to each metered increment. Examples of methods used to meter the data include time and volume. Different rating methods which can be used to rate the communication session include, for example, application, data utilization, source of data, data type, class of service, quality of service and transmission efficiency. gnals to generate sampled signals to the receiver;determining weights for the plurality of signals, comprising:estimating an autocorrelation of the noise received at the receiver;estimating a cross correlation between the sampled signals and corresponding transmitted signals; andcalculating the weights as a product of the autocorrelation and the cross correlation;receiving data signals at the receiver, the data signals having corresponding transmitted data signals; andapplying the weights to the data signals to generate an estimate of the transmitted data signals.7. The method as in claim 6, wherein the cross correlation is a function of fading coefficients.8. The method as in claim 7, wherein the receiver includes a rake type receiver having a plurality of fingers, further comprising:estimating the fading coefficients per each finger of the plurality of fingers of the rake type receiver.9. A wireless receiver apparatus, comprising: receiver means for processing a plurality of signal paths;sampling means for sampling a plurality of signals to generate sampled signals;weight calculation means for calculating weights for the plurality of signals, comprising:first estimation means for estimating an autocorrelation of the sampled signals;second estimation means for estimating a cross correlation between the sampled signals and corresponding transmitted signals; andweight processing means for calculating the weights as a product of the autocorrelation and the cross correlation; andweighting means for applying the weights to data signals received at the apparatus and for generating an estimate of corresponding transmitted data signals.10. The wireless receiver apparatus of claim 9, wherein the first estimation means calculates the autocorrelation aswherein y(m) is a sampled signal, and M is a total number of samples. 11. The wireless receiver apparatus of claim 9, wherein the second estimation means calculates the cross correlation as:r yx=E [y(m) x*(m)]=c=[c11(m),c12(m), . . . ,cij(m). . . ]T,wherein E[ ] is an estimation operator, y(m) is a sampled signal, and x(m) is a transmitted signal.