105 research outputs found
Channel Polarization on q-ary Discrete Memoryless Channels by Arbitrary Kernels
A method of channel polarization, proposed by Arikan, allows us to construct
efficient capacity-achieving channel codes. In the original work, binary input
discrete memoryless channels are considered. A special case of -ary channel
polarization is considered by Sasoglu, Telatar, and Arikan. In this paper, we
consider more general channel polarization on -ary channels. We further show
explicit constructions using Reed-Solomon codes, on which asymptotically fast
channel polarization is induced.Comment: 5 pages, a final version of a manuscript for ISIT201
Properties and Construction of Polar Codes
Recently, Ar{\i}kan introduced the method of channel polarization on which
one can construct efficient capacity-achieving codes, called polar codes, for
any binary discrete memoryless channel. In the thesis, we show that decoding
algorithm of polar codes, called successive cancellation decoding, can be
regarded as belief propagation decoding, which has been used for decoding of
low-density parity-check codes, on a tree graph. On the basis of the
observation, we show an efficient construction method of polar codes using
density evolution, which has been used for evaluation of the error probability
of belief propagation decoding on a tree graph. We further show that channel
polarization phenomenon and polar codes can be generalized to non-binary
discrete memoryless channels. Asymptotic performances of non-binary polar
codes, which use non-binary matrices called the Reed-Solomon matrices, are
better than asymptotic performances of the best explicitly known binary polar
code. We also find that the Reed-Solomon matrices are considered to be natural
generalization of the original binary channel polarization introduced by
Ar{\i}kan.Comment: Master thesis. The supervisor is Toshiyuki Tanaka. 24 pages, 3
figure
Multilevel Polarization of Polar Codes Over Arbitrary Discrete Memoryless Channels
It is shown that polar codes 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. It is also shown through an
example that polar codes when considered as group/coset codes, do not achieve
the capacity achievable using coset codes over arbitrary channels
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