Capacity Achieving Codes From Randomness Condensers

We establish a general framework for construction of small ensembles of capacity achieving linear codes for a wide range of (not necessarily memoryless) discrete symmetric channels, and in particular, the binary erasure and symmetric channels. The main tool used in our constructions is the notion of randomness extractors and lossless condensers that are regarded as central tools in theoretical computer science. Same as random codes, the resulting ensembles preserve their capacity achieving properties under any change of basis. Using known explicit constructions of condensers, we obtain specific ensembles whose size is as small as polynomial in the block length. By applying our construction to Justesen's concatenation scheme (Justesen, 1972) we obtain explicit capacity achieving codes for BEC (resp., BSC) with almost linear time encoding and almost linear time (resp., quadratic time) decoding and exponentially small error probability.

[1]  Omer Reingold,et al.  Randomness Conductors and Constant-Degree Expansion Beyond the Degree / 2 Barrier , 2001 .

[2]  Erdal Arikan,et al.  Channel Polarization: A Method for Constructing Capacity-Achieving Codes for Symmetric Binary-Input Memoryless Channels , 2008, IEEE Transactions on Information Theory.

[3]  Jørn Justesen,et al.  Class of constructive asymptotically good algebraic codes , 1972, IEEE Trans. Inf. Theory.

[4]  Ron M. Roth,et al.  Introduction to Coding Theory , 2019, Discrete Mathematics.

[5]  Daniel A. Spielman Linear-time encodable and decodable error-correcting codes , 1996, IEEE Trans. Inf. Theory.

[6]  J. H. van Lint,et al.  Introduction to Coding Theory , 1982 .

[7]  Venkatesan Guruswami,et al.  Linear-time encodable/decodable codes with near-optimal rate , 2005, IEEE Transactions on Information Theory.

[8]  Ran Raz,et al.  Extracting all the randomness and reducing the error in Trevisan's extractors , 1999, STOC '99.

[9]  Rüdiger L. Urbanke,et al.  Modern Coding Theory , 2008 .

[10]  Sang Joon Kim,et al.  A Mathematical Theory of Communication , 2006 .

[11]  J.L. Massey,et al.  Theory and practice of error control codes , 1986, Proceedings of the IEEE.

[12]  Rajeev Motwani,et al.  Randomized algorithms , 1996, CSUR.

[13]  Russell Impagliazzo,et al.  How to recycle random bits , 1989, 30th Annual Symposium on Foundations of Computer Science.

[14]  Luca Trevisan,et al.  Extractors and pseudorandom generators , 2001, JACM.

[15]  Venkatesan Guruswami,et al.  Unbalanced expanders and randomness extractors from Parvaresh--Vardy codes , 2009, JACM.