Maybe, we should seach some new approaches, for example, the EMD (empirical mode decomposition) method, to solve this kind problem. since I am not sure what is the characteristic of your problem, this suggestion is just a guess.
I'm not quite sure what is the question -
First part:
you want to estimate fluctuations in GSM signal strength due to fading effect?
in LOS or non-LOS environment?
Preferred type of fading model you want to use?
Second:
How you want to apply wavelet based residual method , what time period - for example how you will estimate the wavelet variance, and how you determine what time scale should be chosen, at which there are a sufficient number of wavelet coefficients to produce an estimate of the wavelet variance with a certain confidence?
in 4g system, the residual energy is subjective, from the point of view of equipment operating in the base stations. This is because the system itself has smart antennas, then the residual energy would not exist; because power to the radiating area of coverage will depend on the dynamics of the traffic measurement. In some systems it is known as breathing effect.
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