Topology-Aware Coordination for Multi-Functional Low-Altitude Wireless Networks
Jiajun He, Han Yu, Yiran Guo, Xinping Yi, Fan Liu, Hing Cheung So, Hien Quoc Ngo, Michail Matthaiou, Giuseppe Caire

TL;DR
This paper introduces a topology-aware coordination framework for low-altitude wireless networks, enabling efficient multi-functional cooperation among heterogeneous devices to improve network performance.
Contribution
It proposes a novel topology-aware architecture that models the network as a sparse graph for better coordination and efficiency in diverse multi-tier wireless systems.
Findings
Outperforms baseline approaches in coordination efficiency
Models network as a sparse graph for better task management
Achieves higher multi-task coordination efficiency
Abstract
Low-altitude wireless networks (LAWNs) are expected to consist of multi-tier, heterogeneous terrestrial and non-terrestrial devices, where effective coordination is essential to fully unlock the complementary capabilities of diverse systems from different vendors. To address this issue, we propose a novel multi-functional coordination framework that enables seamless cooperation within the LAWN while supporting efficient execution of diverse network functions. In the proposed architecture, each device or infrastructure element is assigned to a specific functional role, namely, edge mobile terminal (E-MT), distributed MT (D-MT), or computing center. E-MTs are equipped with lightweight, independent signal processing and computing capabilities, while D-MTs and the computing center handle regional and global coordination, respectively. To enhance the overall network efficiency, we model the…
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Taxonomy
TopicsUAV Applications and Optimization · Mobile Ad Hoc Networks · Opportunistic and Delay-Tolerant Networks
