179 citations · 303 across the 23 of their papers we have counts for
25 papers
On the Capacity of Communication Channels with Memory and Sampled Additive Cyclostationary Gaussian Noise: Full Version with Detailed Proofs
Ron Dabora, Emeka Abakasanga
In this work we study the capacity of interference-limited channels with memory. These channels model non-orthogonal communications scenarios, such as the non-orthogonal multiple a…
Deep-Learning-Aided Distributed Clock Synchronization for Wireless Networks
Emeka Abakasanga, Nir Shlezinger, Ron Dabora
The proliferation of wireless communications networks over the past decades, combined with the scarcity of the wireless spectrum, have motivated a significant effort towards increa…
Deep Reinforcement Learning for Simultaneous Sensing and Channel Access in Cognitive Networks
Yoel Bokobza, Ron Dabora, Kobi Cohen
We consider the problem of dynamic spectrum access (DSA) in cognitive wireless networks, where only partial observations are available to the users due to narrowband sensing and tr…
A New Frame Synchronization Algorithm for Linear Periodic Channels with Memory -- Full Version
Oren Kolaman, Ron Dabora
Identifying the start time of a sequence of symbols received at the receiver, commonly referred to as \emph{frame synchronization}, is a critical task for achieving good performanc…
The Rate Distortion Function of Asynchronously Sampled Memoryless Cyclostationary Gaussian Processes
Emeka Abakasanga, Nir Shlezinger, Ron Dabora
Man-made communications signals are typically modelled as continuous-time (CT) wide-sense cyclostationary (WSCS) processes. As modern processing is digital, it operates on sampled…
The Capacity of Memoryless Channels with Sampled Cyclostationary Gaussian Noise
Nir Shlezinger, Emeka Abakasanga, Ron Dabora +1
Non-orthogonal communications play an important role in future communication architectures. In such scenarios, the received signal is corrupted by an interfering signal which is ty…