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Rate-Compatible Tail-Biting Convolutional Codes for M2M Communications

delete2018-03-01
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PRE
AI
X
Xiaowei Wu
L
Lei Yang *
J
Jinhong Yuan
L
Lei Wan
DOI:10.1109/LCOMM.2017.2787054delete
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Abstract

Abstract

En 中文
We propose an algorithm to construct a group of rate-compatible tail-biting convolutional codes (RC-TBCCs) with consistently good frame error rate performance for both short and long information lengths. The algorithm considers the free distance property and the minimum distance profile of a TBCC jointly. We construct a group of RC-TBCCs with code rates 1/n, 3 <= n <= 12. Numerical results show that the constructed RC-TBCCs have better frame error rate performance than the TBCCs used in LTE standards for various information lengths and code rates.
Keywords:
Short-length codes
convolutional codes
tail-biting convolutional codes
nested convolutional codes
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Journal

IEEE Communications Letters cover
IEEE Communications Letters
IF:
4.4
Papers:
1.3W
Citations:
2.2W

Organization

H
huawei technologies
Scholars:
3.3K
Papers: 2.9K
Citations: 1