A method for noise rise estimation in a wireless communication system, the method comprising the steps of: measuring at least received total wideband power a plurality of times; computing a plurality of estimates of a noise floor measure based on at least a number of said measured received total wideband powers; calculating a plurality of values of a biased noise rise measure, based at least on the number of said measured received total wideband powers and a respective one of said plurality of estimates of the noise floor measure; providing a measure representing a long term behaviour of said plurality of values of said biased noise rise measure; and obtaining a value of a present unbiased noise rise measure based at least on said measure representing the long term behaviour of said plurality of values of said biased noise rise measure, wherein said step of obtaining comprises: creating a model representing a noise floor bias as a function of said long term behaviour of said plurality of values of said biased noise rise measure; and filtering a plurality of samples of corresponding measures representing said long term behaviour and plurality of estimates of said noise floor measure, using said model, providing filtered model parameters, and wherein a time constant of said filtering of the plurality of samples is significantly longer than a characteristic time constant for said step of computing one of said plurality of estimates of said noise floor measure. measuring at least received total wideband power a plurality of times; computing a plurality of estimates of a noise floor measure based on at least a number of said measured received total wideband powers; calculating a plurality of values of a biased noise rise measure, based at least on the number of said measured received total wideband powers and a respective one of said plurality of estimates of the noise floor measure; providing a measure representing a long term behaviour of said plurality of values of said biased noise rise measure; and obtaining a value of a present unbiased noise rise measure based at least on said measure representing the long term behaviour of said plurality of values of said biased noise rise measure, wherein said step of obtaining comprises: creating a model representing a noise floor bias as a function of said long term behaviour of said plurality of values of said biased noise rise measure; and filtering a plurality of samples of corresponding measures representing said long term behaviour and plurality of estimates of said noise floor measure, using said model, providing filtered model parameters, and wherein a time constant of said filtering of the plurality of samples is significantly longer than a characteristic time constant for said step of computing one of said plurality of estimates of said noise floor measure. creating a model representing a noise floor bias as a function of said long term behaviour of said plurality of values of said biased noise rise measure; and filtering a plurality of samples of corresponding measures representing said long term behaviour and plurality of estimates of said noise floor measure, using said model, providing filtered model parameters, and wherein a time constant of said filtering of the plurality of samples is significantly longer than a characteristic time constant for said step of computing one of said plurality of estimates of said noise floor measure.