Energy Efficiency of Broadcast Wireless Channels Under Non-Gaussian Aggregate Interference

In this paper, we propose an effective method to calculate the energy efficiency (EE) of a downlink broadcast wireless channel from an access point to multiple users under Gaussian-mixture aggregate interference. The considered downlink model is realistic for future wireless networks, such as cellular and Wi-Fi networks, having multi-tier heterogeneous architectures. In particular, we exploit Kullback-Leibler divergence to evaluate the minimum energy per bit
$\frac{E_{b}}{N_{0}}_{\min}$
for reliable communication and the wideband slope of the spectral efficiency as a function of energy per bit
$\frac{E_{b}}{N_{0}}$
. The proposed method provides a more accurate baseline for the analysis and design of next-generation mobile wireless networks.