Cooperative UAV-Relay based Satellite Aerial Ground Integrated Networks

In the post-fifth generation (5G) era, escalating user quality of service (QoS) strains terrestrial network capacity, especially in urban areas with dynamic traffic distributions. This paper introduces a novel cooperative unmanned aerial vehicle relay-based deployment (CUD) framework in satellite air-ground integrated networks (SAGIN). The CUD strategy deploys an unmanned aerial vehicle-based relay (UAVr) in an amplify-and-forward (AF) mode to enhance user QoS when terrestrial base stations fall short of network capacity. By combining low earth orbit (LEO) satellite and UAVr signals using cooperative diversity, the CUD framework enhances the signal to noise ratio (SNR) at the user. Comparative evaluations against existing frameworks reveal performance improvements, demonstrating the effectiveness of the CUD framework in addressing the evolving demands of next-generation networks.

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Publication Details

Published
2024-10-07
DOI
https://doi.org/10.1109/vtc2024-fall63153.2024.10757512
Citations
2
Primary Topic
UAV Applications and Optimization
Type
article
Field-Weighted Citation Impact
2.60

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article

Cooperative UAV-Relay based Satellite Aerial Ground Integrated Networks

Asha Balakrishnan, Swades De, Yu‐Jia Chen, Li‐Chun Wang et al.
2 citations
UAV Applications and Optimization
2.60
article

Cooperative UAV-Relay based Satellite Aerial Ground Integrated Networks

Asha Balakrishnan, Swades De, Yu‐Jia Chen, Li‐Chun Wang, Bhola
article en
2 citations

Abstract

In the post-fifth generation (5G) era, escalating user quality of service (QoS) strains terrestrial network capacity, especially in urban areas with dynamic traffic distributions. This paper introduces a novel cooperative unmanned aerial vehicle relay-based deployment (CUD) framework in satellite air-ground integrated networks (SAGIN). The CUD strategy deploys an unmanned aerial vehicle-based relay (UAVr) in an amplify-and-forward (AF) mode to enhance user QoS when terrestrial base stations fall short of network capacity. By combining low earth orbit (LEO) satellite and UAVr signals using cooperative diversity, the CUD framework enhances the signal to noise ratio (SNR) at the user. Comparative evaluations against existing frameworks reveal performance improvements, demonstrating the effectiveness of the CUD framework in addressing the evolving demands of next-generation networks.

National Yang Ming Chiao Tung University (TW), National Central University (TW), Indian Institute of Technology Delhi (IN)
Ministry of Education, National Science and Technology Council
Openalex Percentile: Top 7%
UAV Applications and Optimization
2.60
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