Title :
Optimal Power Allocation for Parallel Two-State Gaussian Mixture Impulse Noise Channels
Author :
Axell, Erik ; Wiklundh, Kia C. ; Stenumgaard, Peter F.
Author_Institution :
Swedish Defence Res. Agency, Linköping, Sweden
Abstract :
We consider power allocation on a set of independent parallel channels affected by additive impulse noise, which is modeled by a two-state Gaussian mixture interference model. We derive the optimal power allocation that maximizes the total capacity subject to a total power constraint. Moreover, we show that the well known water filling solution, which is optimal for Gaussian noise, is not the optimal power allocation for impulse interference. We also consider channel selection, i.e., to allocate all of the available power to a single channel, and show that the capacity is not necessarily maximized by the channel with the highest SNR in general.
Keywords :
AWGN channels; Gaussian noise; channel allocation; channel capacity; impulse noise; interference suppression; mixture models; Gaussian mixture interference model; Gaussian noise; SNR; additive impulse noise; capacity maximization; channel selection; impulse interference; optimal power allocation; parallel two-state Gaussian mixture impulse noise channel; power constraint; water filling solution; AWGN channels; Channel capacity; Interference; Radio spectrum management; Resource management; Signal to noise ratio; Impulse noise; communication system performance; information rates; information theory;
Journal_Title :
Wireless Communications Letters, IEEE
DOI :
10.1109/LWC.2015.2388759