research
∙
09/06/2023
Data-Driven Neural Polar Codes for Unknown Channels With and Without Memory
In this work, a novel data-driven methodology for designing polar codes ...
share
research
∙
03/31/2023
Capacity of Finite-State Channels with Delayed Feedback
In this paper, we investigate the capacity of finite-state channels (FSC...
research
∙
01/11/2023
Low PAPR MIMO-OFDM Design Based on Convolutional Autoencoder
An enhanced framework for peak-to-average power ratio (𝖯𝖠𝖯𝖱) reduction a...
research
∙
12/25/2022
Finite-State Channels with Feedback and State Known at the Encoder
We consider finite state channels (FSCs) with feedback and state informa...
research
∙
11/12/2020
Low PAPR waveform design for OFDM SYSTEM based on Convolutional Auto-Encoder
This paper introduces the architecture of a convolutional autoencoder (C...
research
∙
04/09/2020
The Secrecy Capacity of Cost-Constrained Wiretap Channels
In many information-theoretic communication problems, adding an input co...
research
∙
11/05/2019
Computable Upper Bounds on the Capacity of Finite-State Channels
The capacity of finite-state channels (FSCs) without feedback is investi...
research
∙
12/29/2017
Wiretap and Gelfand-Pinsker Channels Analogy and its Applications
A framework of analogy between wiretap channels (WTCs) and state-depende...
research
∙
12/07/2017
