Multi-Frequency Radio Map Assisted Unmanned Aerial Relay for Bridging Ground D2D Networks

In the rapidly advancing realm of wireless communication, device-to-device (D2D) technology, an emerging approach for data exchange and connectivity, has been attracting increasing attention. Unmanned Aerial Vehicles (UAVs) can act as air relays or base stations, and integrate isolated D2D clusters...

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Veröffentlicht in:IEEE transactions on wireless communications S. 1
Hauptverfasser: Dong, Yangrui, He, Chen, Bai, Huiyu, Niyato, Dusit, Jane Wang, Z.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: IEEE 2025
Schlagworte:
Air to ground communication
Atmospheric modeling
Autonomous aerial vehicles
Base stations
Computational modeling
device-to-device
Device-to-device communication
Frequency measurement
geographic sensing
Optimization
radio map
Relays
UAV deployment
Unmanned aerial vehicles
Wireless communication
ISSN:1536-1276, 1558-2248
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Zusammenfassung:In the rapidly advancing realm of wireless communication, device-to-device (D2D) technology, an emerging approach for data exchange and connectivity, has been attracting increasing attention. Unmanned Aerial Vehicles (UAVs) can act as air relays or base stations, and integrate isolated D2D clusters into a cohesive network fabric in outdoor environments. However, in complex terrain, the communication signals are subject to irregular attenuation, and the signal propagation attenuation of different frequency bands in the same terrain is inconsistent. It is challenging to utilize UAVs to coverage D2D terrestrial users in complex terrain. In this paper, we propose the UAVs relaying for bridging the terrestrial D2D networks assisted by multi-frequency radio maps. From the real-world topographical data, we generate multi-frequency radio maps, which represent the distortion of different frequency band signals by rich information about land layouts. Next, we focus on the air-to-ground D2D network topology and formulate it into an optimization problem. Then, we decompose it into two subproblems. The first subproblem pertains to the design of the ground network structure. We employ the D2D frequency band radio map to assess the communication quality between user pairs, and propose a measure of D2D closeness centrality to select 'cellular users' that can communicate directly to a UAV. The second subproblem involves the UAVs' deployment and the frequency selection. We present a multi-frequency radio map improved k-means method, which has lower algorithm complexity than the traversal method by reducing the utilization of the radio maps. Simulations validate the proposed scheme, demonstrating that: 1. Multi-frequency radio maps can provide efficient gains with real-world complex topography; 2. The proposed network structure and algorithm outperform other existing approaches.
ISSN:1536-1276
1558-2248
DOI:10.1109/TWC.2025.3600610