Adaptive Coding and Bit-Power Loading Algorithms for Underwater Acoustic Transmissions

Underwater acoustic channel (UAC) is featured as fast time-varying characteristic, and challenges the transmission designs. To countermine the time variation effect, we propose an adaptive design for orthogonal frequency division multiplexing (OFDM) transmission systems by utilizing the long-term st...

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Vydáno v:IEEE transactions on wireless communications Ročník 20; číslo 9; s. 5798 - 5811
Hlavní autoři: Zhang, Rongxin, Ma, Xiaoli, Wang, Deqing, Yuan, Fei, Cheng, En
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York IEEE 01.09.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Adaptive algorithms
Adaptive coding
bit loading
Coding
Covariance matrices
Gaussian distribution
Loading
Modulation
OFDM
Orthogonal Frequency Division Multiplexing
power loading
Signal to noise ratio
Sound transmission
statistical channel state information
Underwater acoustics
underwater transmissions
Wireless communication
ISSN:1536-1276, 1558-2248
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Shrnutí:Underwater acoustic channel (UAC) is featured as fast time-varying characteristic, and challenges the transmission designs. To countermine the time variation effect, we propose an adaptive design for orthogonal frequency division multiplexing (OFDM) transmission systems by utilizing the long-term stability of the second-order statistics of the channel state information (CSI). We derive the analytical expression of signal-to-interference-plus-noise-ratio (SINR) at each subcarrier to reach the target error performance based on the statistical information of the CSI. Thereafter, a new adaptive coding and bit-power loading algorithm with low computational complexity is proposed to pursuit the highest achievable bit rate with fixed error rate. The validity of SINR calculations and the effectiveness of the proposed adaptive algorithm are demonstrated under various conditions, wherein both simulated and measured channels have been tested.
Bibliografie:ObjectType-Article-1
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ISSN:1536-1276
1558-2248
DOI:10.1109/TWC.2021.3070363