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Sum-Rate Maximization in Integrated Space-Air-Ground Networks under Backhaul Capacity Constraints
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Network and Systems Engineering.ORCID iD: 0000-0002-8557-0082
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Network and Systems Engineering.ORCID iD: 0000-0002-4876-0223
2023 (English)In: GLOBECOM 2023 - 2023 IEEE Global Communications Conference, Institute of Electrical and Electronics Engineers (IEEE) , 2023, p. 6255-6260Conference paper, Published paper (Refereed)
Abstract [en]

Integrated space-air-ground (ISAG) networks have emerged as a promising technology for next-generation commu-nication networks, which demand higher throughput and wider coverage. However, several challenges must be addressed, such as wireless resource and interference management, transmit power control, and optimal deployment of unmanned aerial vehicles (UAV s) to achieve higher throughput. To this end, in this paper, we propose the joint transmit power control and the deployment UAV problem in the ISAG network to maximize the sum-rate of devices while guaranteeing the minimum rate requirement of each device and the wireless backhaul link constraints between UAV s and the satellite. However, solving the resulting problem is challenging since it has a non-convex structure. As a solution, we propose to decompose the problem into two subproblems. We then transform the decomposed subproblems into convex forms and solve them using successive convex approximation (SCA). Finally, we conduct extensive simulations to show the effectiveness of the proposed method, and the numerical results show that the proposed method achieves a performance gain: up to 8.35%, and 4.08% in comparison to FPA and C-UAVs schemes.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2023. p. 6255-6260
Keywords [en]
Integrated space-air-ground (ISAC) networks, optimal UAV deployment, power control, successive convex ap-proximation (SCA)
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:kth:diva-344556DOI: 10.1109/GLOBECOM54140.2023.10437234ISI: 001178562006135Scopus ID: 2-s2.0-85187326140OAI: oai:DiVA.org:kth-344556DiVA, id: diva2:1845944
Conference
2023 IEEE Global Communications Conference, GLOBECOM 2023, Kuala Lumpur, Malaysia, Dec 4 2023 - Dec 8 2023
Note

Part of ISBN 979-8-3503-1090-0

QC 20240326

Available from: 2024-03-20 Created: 2024-03-20 Last updated: 2024-04-15Bibliographically approved

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Tun, Yan KyawDán, György

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