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Construction of Capacity-Achieving Lattice Codes: Polar Lattices

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If you have a question about this talk, please contact Prof. Ramji Venkataramanan.

In 1949, Shannon derived his famous formula 1/2 log(1+SNR) for the capacity of the additive white Gaussian-noise (AWGN) channel. Designing an efficient code to achieve this capacity has been the holy grail of coding people ever since. This talk is concerned with a new class of capacity-achieving lattice codes, namely polar lattices. We show that the construction is explicit and efficient, and the overall complexity of encoding and decoding is O(N logN) for any fixed target error probability.

BIO: Cong Ling is currently a Senior Lecturer in the Electrical and Electronic Engineering Department at Imperial College London. His research interests are coding, lattices, information theory, and security. He is an Associate Editor in Multiterminal Communications and Lattice Coding of IEEE Transactions on Communications. He has also served as an Associate Editor of IEEE Transactions on Vehicular Technology.

This talk is part of the Signal Processing and Communications Lab Seminars series.

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