Structured Codes versus Unstructured Codes for Communication Networks: An information Theoretic Prospective

Monday, July 10, 2017, 12:00-13:00


Information theory has a compelling potential to change the way we live, work, and interact over the next several decades. Its impact ranges from the development of internet and social media, to the design of transportation systems, monitoring systems and medical devices. The unquenchable thirst of information networks for higher data rates seems to be never-ending. In the last decades, the solution to this growing demand has been to harvest resources such as bandwidth and power. The enormous size of modern networks renders this approach impractical. This imparts the need for the development of noble approaches for communication. This talk is dedicated to devising techniques for efficient communication over networks from the information theoretic perspective. I will discuss the concept of structured codes versus conventional unstructured codes, and introduce a new class of constructions called “quasi structured codes” that span the spectrum from completely structured to completely unstructured codes. These concepts are key elements for communication problems which are the building blocks of networks.


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