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Enhancing Time-Domain Interference Alignment for Underwater Acoustic Networks with Cross-Layer Design
by
Bi, Zhicheng
, Xiao, Qiao
, Wang, Chaofeng
in
Acoustics
/ Algorithms
/ cross-layer design
/ Design
/ Linear programming
/ Optimization
/ power allocation
/ Propagation
/ Radio networks
/ Receivers & amplifiers
/ time-domain interference alignment
/ transmission scheduling
/ underwateracoustic networks
2025
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Enhancing Time-Domain Interference Alignment for Underwater Acoustic Networks with Cross-Layer Design
by
Bi, Zhicheng
, Xiao, Qiao
, Wang, Chaofeng
in
Acoustics
/ Algorithms
/ cross-layer design
/ Design
/ Linear programming
/ Optimization
/ power allocation
/ Propagation
/ Radio networks
/ Receivers & amplifiers
/ time-domain interference alignment
/ transmission scheduling
/ underwateracoustic networks
2025
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While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Enhancing Time-Domain Interference Alignment for Underwater Acoustic Networks with Cross-Layer Design
by
Bi, Zhicheng
, Xiao, Qiao
, Wang, Chaofeng
in
Acoustics
/ Algorithms
/ cross-layer design
/ Design
/ Linear programming
/ Optimization
/ power allocation
/ Propagation
/ Radio networks
/ Receivers & amplifiers
/ time-domain interference alignment
/ transmission scheduling
/ underwateracoustic networks
2025
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Enhancing Time-Domain Interference Alignment for Underwater Acoustic Networks with Cross-Layer Design
Journal Article
Enhancing Time-Domain Interference Alignment for Underwater Acoustic Networks with Cross-Layer Design
2025
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Overview
In exploiting large propagation delays in underwater acoustic (UWA) networks, the time-domain interference alignment (TDIA) mechanism aligns interference signals through delay-aware slot scheduling, creating additional idle time for improved transmission at the medium access control (MAC) layer. However, perfect alignment remains challenging due to arbitrary delays. This study enhances TDIA by incorporating power allocation into its transmission scheduling framework across the physical and MAC layers, following the cross-layer design principle. The proposed quasi-interference alignment (QIA) mechanism enables controlled interference on useful signals by jointly optimizing the transmission schedule and power. The formulated optimization problem to maximize network throughput is divided into two sub-problems: one for coarse slot scheduling and another for refining both scheduling and power allocation. The simulation results validate the QIA framework’s superiority over the traditional TDIA and genetic algorithm benchmarks.
Publisher
MDPI AG,MDPI
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