Abstract
Low-density parity-check codes have been shown to perform very close to capacity over many channels with a constant signal-to-noise ratio. In wireless communications, the channel conditions vary with time at a reasonably fast rate. Adaptive coding methods such as ARQ schemes are very effective in varying channel conditions. ARQ schemes use a set of codes with varying rate and performance in a rate compatible manner. In this review, we investigate ARQ schemes that use rate compatible low-density parity-check codes. Recent research has shown that performance within 0.5dB of capacity is possible over a wide range of channel conditions using such ARQ schemes.
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Andrew Thangaraj
Andrew Thangaraj is an Assistant Professor in the Electrical Engineering Department at the Indian Institute of Technology, Madras. He received his BTech degree in Electrical Engineering from Indian Institute of Technology, Madras in 1998. He received his PhD degree from the Georgia Institute of Technology, Atlanta in 2003. His research interests are in the general area of error-control coding and information theory. Particular areas of research include finite geometry codes, codes for magnetic recording, low-density parity-check codes, iterative decoding, and information-theoretic aspects of cryptography.