Ordered Statistics Decoder: A Review
Ordered Statistics Decoder (OSD), universal decoders, short blocklength coding
The student is expected to provide an overview of the way of working of the decoder, its strengths and its limitations.
Beschreibung
5G and beyond wireless communication systems gave/are expected to give rise to many new applications with stringent requirements that were not achievable with 4G or earlier systems. These requirements are: low latency, high reliability, battery life maximization among others.
To this extent, short blocklength coding has gained particular interest, and new research on efficient coding schemes is emerging. An idea previously discussed in the literature is the Ordered Statistics Decoder (OSD) [1]. Recent works in literature are addressing its strengths, its shortcomings and are suggesting ways to make this decoder more practical and efficient in the short blocklength regime.
The objective of the student is to study the seminal paper [1], that introduces the idea of ordered statistics decoding and be able to describe how the decoder works, what are its strengths, what are its limitations.
[1] Soft-decision decoding of linear block codes based on ordered statistics
Voraussetzungen
It is nice for the student to have some background knowledge on linear algebra and channel coding, e.g., what is a channel code, how it is represented, how it is used etc. However, introductory material can be provided if a student is eager to learn, and questions on topics that are unclear to the student are always welcome.
In general, this is a student-driven task, therefore it is the student's job to plan and execute the review of the given paper. Support and guidance will be gladly provided if requested. There will also be a clear discussion of what is required in the final presentation as well as evaluation points, directly after the topic assignment.