3 citations · 6 across the 7 of their papers we have counts for
7 papers
ProductAE: Toward Deep Learning Driven Error-Correction Codes of Large Dimensions
Mohammad Vahid Jamali, Hamid Saber, Homayoon Hatami +1
While decades of theoretical research have led to the invention of several classes of error-correction codes, the design of such codes is an extremely challenging task, mostly driv…
List Autoencoder: Towards Deep Learning Based Reliable Transmission Over Noisy Channels
Hamid Saber, Homayoon Hatami, Jung Hyun Bae
In this paper, we present list autoencoder (listAE) to mimic list decoding used in classical coding theory. With listAE, the decoder network outputs a list of decoded message word…
ProductAE: Towards Training Larger Channel Codes based on Neural Product Codes
Mohammad Vahid Jamali, Hamid Saber, Homayoon Hatami +1
There have been significant research activities in recent years to automate the design of channel encoders and decoders via deep learning. Due the dimensionality challenge in chann…
On the achievable region for interference networks with point-to-point codes
Jung Hyun Bae, Jungwon Lee, Inyup Kang
This paper studies evaluation of the capacity region for interference networks with point-to-point (p2p) capacity-achieving codes. Such capacity region has recently been characteri…
Outage-based ergodic link adaptation for fading channels with delayed CSIT
Jung Hyun Bae, Jungwon Lee, Inyup Kang
Link adaptation in which the transmission data rate is dynamically adjusted according to channel variation is often used to deal with time-varying nature of wireless channel. When…
The GDOF of 3-user MIMO Gaussian interference channel
Jung Hyun Bae, Jungwon Lee, Inyup Kang
The paper establishes the optimal generalized degrees of freedom (GDOF) of 3-user multiple-input multiple-output (MIMO) Gaussian interference channel (GIC) in which ea…