Integrated Sensing and Communication for UAV-Assisted Emergency Networks
- 주제(키워드) UAV-Assisted Communication , Integrated Sensing and Communication , GNSS-Denied Environments , UAV Deployment , Optimization Methods , Localization , Cooperative Networks , Emergency Networks
- 주제(DDC) 355
- 발행기관 아주대학교 일반대학원
- 지도교수 Jaesung Lim
- 발행년도 2026
- 학위수여년월 2026. 2
- 학위명 박사
- 학과 및 전공 일반대학원 국방디지털융합학과
- 실제URI http://www.dcollection.net/handler/ajou/000000035770
- 본문언어 영어
- 저작권 아주대학교 논문은 저작권에 의해 보호받습니다.
초록/요약
The proliferation of Unmanned Aerial Vehicles (UAVs) as aerial base stations has significantly advanced Integrated Sensing and Communication (ISAC) networks. However, their heavy reliance on Global Navigation Satellite Systems (GNSS) presents a critical vulnerability, particularly in emergency or military scenarios where GPS signals are susceptible to lowered signal strength and jamming. This dissertation addresses this challenge by proposing novel UAV deployment strategies that optimize ISAC performance in location-uncertain environments. The first major contribution is a UAV-localization framework where a GPS-jammed UAV-BS utilizes unaffected ground-based User Equipment (UE) as reference anchor nodes. We formulate a joint optimization problem to minimize the UAV's transmission power (communication) while simultaneously maximizing its localization accuracy (sensing) under Position Dilution of Precision (PDOP) constraints. This includes three geometric anchor selection methods, center, centroid, and circumcenter, which leverage the convex hull of UEs to reduce computational complexity. The second contribution is a two-hop cooperative framework where the UAV first establishes its position by referencing ground-based Terrestrial Base Stations (TBSs) and then cooperates with them to provide joint S&C services to ground UEs. This is enabled by a two-stage weighted optimization algorithm that finds the optimal 3D UAV position to balance the S&C trade-off. Simulations conducted in realistic clustered distribution environments validate the proposed schemes, demonstrating significant improvements in power efficiency and localization accuracy. The results also provide clear guidance on the preferred strategy for different communication types, such as unicast or broadcast, providing a robust foundation for resilient UAV-assisted emergency networks.
more목차
1 Introduction 1
1.1 Research Motivations 1
1.2 Thesis Contributions 4
1.3 Thesis Outcome 6
1.4 Thesis Structure 7
2 Literature Review 8
2.1 UAVs in Wireless Communications Systems 8
2.2 UAV Aided Integrated Sensing and Communications 11
2.3 UAV Positioning Methods and GNSS Vulnerabilities 15
3 UAV Deployment Optimization for ISAC in GNSS Denied Environments 19
3.1 System Model 21
3.1.1 Scenario 21
3.1.2 Communication Model 23
3.1.3 Localization Model 26
3.1.4 UE Distribution Model 29
3.2 Problem Formulation 31
3.3 Proposed Scheme 32
3.3.1 Phase 1: Reference Node Selection 36
3.3.2 Phase 2: Localization with Fixed and Adaptive Altitudes 42
3.4 Simulation Results 46
3.4.1 Simulation Setup 46
3.4.2 Simulation Results for RPP Model 47
3.4.3 Simulation Results for CPP Model 50
4 UAV Based Cooperative Two-Hop ISAC Under Location Uncertainty 58
4.1 System Model 60
4.1.1 Scenario 60
4.1.2 Communication Model 63
4.1.3 Localization Model 65
4.2 Problem Formulation 66
4.3 Proposed Scheme 68
4.3.1 Stage 1: UAV Altitude Optimization 69
4.3.2 Stage 2: UAV Horizontal Position Optimization 73
4.4 Simulation Results 78
4.4.1 Simulation Setup 78
4.4.1 Simulation Setup 79
5 Conclusion 86
5.1 Summary of Contributions 86
5.2 Future Research Directions 87
Reference 89
