Log-logarithmic Time Pruned Polar Coding

05/30/2019
by   Hsin-Po Wang, et al.
0

A pruned variant of polar coding is proposed for binary erasure channels. For sufficiently small ε>0, we construct a series of capacity achieving codes with block length N=ε^-5, code rate R=Capacity-ε, error probability P=ε, and encoding and decoding time complexity bC=O(|ε|) per information bit. The given per-bit complexity bC is log-logarithmic in N, in Capacity-R, and in P; no known family of codes possesses this property. It is also the second lowest bC after repeat-accumulate codes and their variants. While random codes and classical polar codes are the only two families of capacity-achieving codes whose N, R, P, and bC were written down as explicit functions, our construction gives the third family. Then we generalize the result to: Fix a prime q and fix a q-ary-input discrete symmetric memoryless channel. For sufficiently small ε>0, we construct a series of capacity achieving codes with block length N=ε^-O(1), code rate R=Capacity-ε, error probability P=ε, and encoding and decoding time complexity bC=O(|ε|) per information bit. The later construction gives the fastest family of capacity-achieving codes to date on those channels.

READ FULL TEXT

Please sign up or login with your details

Forgot password? Click here to reset
Success!
Error Icon An error occurred

Sign in with Google

×

Use your Google Account to sign in to DeepAI

×

Consider DeepAI Pro