Title :
Multilevel Channel Polarization for Arbitrary Discrete Memoryless Channels
Author :
Sahebi, Aria G. ; Pradhan, S. Sandeep
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Univ. of Michigan, Ann Arbor, MI, USA
Abstract :
It is shown that polar codes, with their original (u,u+v) kernel, achieve the symmetric capacity of discrete memoryless channels with arbitrary input alphabet sizes. It is shown that in general, channel polarization happens in several, rather than only two levels so that the synthesized channels are either useless, perfect or “partially perfect.” Any subset of the channel input alphabet which is closed under addition induces a coset partition of the alphabet through its shifts. For any such partition of the input alphabet, there exists a corresponding partially perfect channel whose outputs uniquely determine the coset to which the channel input belongs. By a slight modification of the encoding and decoding rules, it is shown that perfect transmission of certain information symbols over partially perfect channels is possible. Our result is general regarding both the cardinality and the algebraic structure of the channel input alphabet; i.e., we show that for any channel input alphabet size and any Abelian group structure on the alphabet, polar codes are optimal. Due to the modifications, we make to the encoding rule of polar codes, the constructed codes fall into a larger class of structured codes called nested group codes.
Keywords :
algebraic codes; channel coding; decoding; group codes; Abelian group structure; algebraic structure; arbitrary discrete memoryless channel synthesis; arbitrary input alphabet size; cardinality structure; channel input alphabet; coset alphabet partition; decoding rule; encoding rule; multilevel channel polarization; nested group code; partially perfect channel; polar code; Channel capacity; Decoding; Encoding; Indexes; Kernel; Memoryless systems; Standards; Channel polarization; discrete memoryless channels; group codes; polar codes;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.2013.2282611