Coding theory was invented in the forties to protect data transmitted through a noisy communication channel. Important families of codes have been adopted in major standards in communications, such as convolutional code (GSM), Turbo code (3G, 4G), LDPC code (Wifi), and Polar code (5G). Apart from communications, the theory has also found its vast success in numerous important areas in the fields of computer science and electrical engineerings such as data storage, memory and cache, cryptography, private information retrieval, and distributed computing.
Algebraic Codes
Coding is essential for reliability and cost reduction in distributed storage systems. It minimizes repair costs by optimizing data transmission volumes, enhancing system resilience. This extends beyond memory technologies, encompassing diverse storage architectures. As technology evolves, coding continues to play a vital role in enhancing the efficiency and resilience of storage systems.
Current Project: Straggler in DSS
Coding for Storage Systems
Coding is crucial for reliable data storage, particularly in memory technologies like flash, found in USB sticks and SSDs. It addresses errors during writing and reading, enhancing data integrity and system performance. Researchers delve into error models and coding constraints specific to storage media, proposing strategies to augment data capacity and reliability. By implementing coding solutions, flash memories can maintain data integrity, contributing to their longevity and efficiency.
Coding for Memories
Network coding serves as a technique aimed at enhancing both the data transmission rate and security against eavesdropping within a network. Instead of solely forwarding packets, intermediate nodes merge them, typically employing linear combinations as vectors. Coding theory finds application in network coding in diverse manners. For instance, it aids in bolstering system reliability amidst network errors or data loss. Furthermore, it facilitates the formulation of functions for packet combination at nodes, ensuring successful packet reconstruction at destination nodes.
Network Coding
Coded Beam Training is a strategic fusion of beamforming and coding methodologies, geared towards optimizing network performance and fortifying security measures. This innovative approach incorporates coded signals during training phases, effectively enhancing system reliability while simultaneously bolstering resilience against potential eavesdropping threats.
Coded Beam Training