100 citations · 295 across the 30 of their papers we have counts for
31 papers
Deep-Unfolded Wideband ISAC Beamforming for DMA Under Frequency-Selective Lorentzian Model
Abdolrasoul Sakhaei Gharagezlou, Pouya Mobaraki, Mehdi Monemi +4
Integrated sensing and communications (ISAC), empowered by dynamic metasurface antennas (DMAs), has emerged as a promising paradigm for next-generation wireless networks. However,…
Conditional Denoising Diffusion Autoencoders for Wireless Semantic Communications
Mehdi Letafati, Samad Ali, Matti Latva-aho
Semantic communication (SemCom) systems aim to learn the mapping from low-dimensional semantics to high-dimensional ground-truth. While this is more akin to a "domain translation"…
A Bayesian Framework of Deep Reinforcement Learning for Joint O-RAN/MEC Orchestration
Fahri Wisnu Murti, Samad Ali, Matti Latva-aho
Multi-access Edge Computing (MEC) can be implemented together with Open Radio Access Network (O-RAN) over commodity platforms to offer low-cost deployment and bring the services cl…
Generative AI-Based Probabilistic Constellation Shaping With Diffusion Models
Mehdi Letafati, Samad Ali, Matti Latva-aho
Diffusion models are at the vanguard of generative AI research with renowned solutions such as ImageGen by Google Brain and DALL.E 3 by OpenAI. Nevertheless, the potential merits o…
Denoising Diffusion Probabilistic Models for Hardware-Impaired Communications
Mehdi Letafati, Samad Ali, Matti Latva-aho
Generative AI has received significant attention among a spectrum of diverse industrial and academic domains, thanks to the magnificent results achieved from deep generative models…
Conditional Denoising Diffusion Probabilistic Models for Data Reconstruction Enhancement in Wireless Communications
Mehdi Letafati, Samad Ali, Matti Latva-aho
In this paper, conditional denoising diffusion probabilistic models (DDPMs) are proposed to enhance the data transmission and reconstruction over wireless channels. The underlying…