Successive Cancellation Inactivation Decoding over q-ary Erasure Channels
The student is expected to understand a recent decoding algorithm called successive cancellation inactivation (SCI) decoding  and extend it towards q-ary erasure channels.
The student is expected to have a good understanding of linear algebra and be able to implement via Matlab or Julia. The following courses are beneficial:
- Information Theory
- Channel Coding
- Channel Codes for Iterative Decoding
Information freshness in next-generation IoT networks
Polarization-adjusted convolutional codes
The student's task is to understand a recently introduced coding scheme, namely polarization-adjusted convolutional (PAC) codes . In addition to encoding and decoding schemes presented in the papers below [2,3], the students asked to study the error exponent for concatenated code ensembles , which is closely related to the good performance of not only concatenated polar codes but also PAC codes.
Channel Codes for Iterative Decoding