Maximum Information Capacity Modulation for Peak Power Limiting
O. A. Shorin, G. O. Bokk · 2018
Modern encoding methods made it possible to obtain the information-interchange rate over communication channels closely approaching the Shannon limit. Issues connected with technological limitations that define the value of the information capacity for the used signals, which set out the value of Shannon rate, are clearly entering into the foreground of practical problems. Traditional approach to calculating the Shannon limit based on the model that envisages a limitation of the average signal power in the case of transmission over the communication channel with additive Gaussian noise has lost its universality at the current stage. Methodology is proposed for the synthesis of optimal amplitude/phase structures of continuous and discrete signal modulations that ensure the maximum rate of information transmitting in the case of the peak power limiting as it is typical for modern communication systems. Numerical results were obtained for Shannon limits under these conditions. Adjustments were found to the results that obtained on the basis of the traditional methodology. It was shown that in some cases these adjustments might be up to 3.5.4.0 dB in the view through the reduction of effective signal-to-noise level in the channel.