
TL;DR
This paper extends polar coding techniques to non-stationary channels, providing a construction that guarantees reliable communication close to the average channel capacity with manageable complexity.
Contribution
It introduces a polar coding scheme for arbitrary non-stationary BMS channels, achieving near-capacity rates with explicit bounds on error probability and complexity.
Findings
Achieves block error probability at most P_e
Provides upper bounds on the polarization exponent μ
Maintains O(N log N) encoding and decoding complexity
Abstract
The problem of polar coding for an arbitrary sequence of independent binary-input memoryless symmetric (BMS) channels is considered. The sequence of channels is assumed to be completely known to both the transmitter and the receiver (a coherent scenario). Also, at each code block transmission, each of the channels is used only once. In other words, a codeword of length is constructed and then the -th encoded bit is transmitted over . The goal is to operate at a rate close to the average of the symmetric capacities of 's, denoted by . To this end, we construct a polar coding scheme using Arikan's channel polarization transform in combination with certain permutations at each polarization level and certain skipped operations. In particular, given a non-stationary sequence of BMS channels and…
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