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. <EOS>