Deep learning precoders, particularly those based on Transformer architectures, offer superior spectral efficiency for Massive MIMO systems but may incur high computational cost. While existing mixed-precision quantization studies on convolutional neural networks establish important energy baselines, traditional discre...
Ghazal Kasalaee, Glodi Sala Mangituka, Ali Hasanzadeh Karkan et al.· 0 citations
We evaluate diverse models for user traffic demand forecasting in Low Earth Orbit (LEO) satellite networks with Beam Hopping (BH), questioning whether predictive accuracy is the right objective for this task. To capture the complex nature of the user traffic demand, we employ a second-order self-similar traffic model,...
Yekta Demirci, Guillaume Mantelet, Stéphane Martel et al.· IEEE Journal of Radio Freque...· 0 citations
It is demonstrated that when designing user demand forecasting solutions for practical LEO deployments, prioritizing system scalability may be more valuable than chasing minor accuracy enhancements, suggesting that when designing system scalability solutions, prioritizing system scalability may be more valuable than ch...
Yekta Demirci, Guillaume Mantelet, Stéphane Martel et al.· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
