Enhancing Time-Domain Interference Alignment for Underwater Acoustic Networks with Cross-Layer Design

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.

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Publication Details

Journal
Sensors
Published
2024-12-26
DOI
https://doi.org/10.3390/s25010068
Citations
2
Primary Topic
Underwater Vehicles and Communication Systems
Type
article
Field-Weighted Citation Impact
0.67

Funders

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article

Enhancing Time-Domain Interference Alignment for Underwater Acoustic Networks with Cross-Layer Design

Zhicheng Bi, Chaofeng Wang, Qiao Xiao
2 citations
Sensors
Underwater Vehicles and Communication Systems
0.67
article

Enhancing Time-Domain Interference Alignment for Underwater Acoustic Networks with Cross-Layer Design

Zhicheng Bi, Chaofeng Wang, Qiao Xiao
article en
2 citations

Abstract

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.

SensorsVol. 25(1)
University of South China (CN)
National Natural Science Foundation of China, Natural Science Foundation of Hunan Province
Life below water
Openalex Percentile: Top 29%
Underwater Vehicles and Communication Systems
0.67
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