Shared Sky, Shared Spectrum: Coordinated Satellite-5G Networks for Low-Altitude Economy

📅 2026-03-14
📈 Citations: 0
Influential: 0
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🤖 AI Summary
This study addresses the challenge of achieving ubiquitous communication coverage in low-altitude airspace, where neither standalone satellite nor terrestrial 5G networks suffice. To this end, the paper proposes a partially integrated satellite–5G cooperative networking architecture, featuring an innovative location-aware adaptive synchronization mechanism and a joint time–frequency–spectrum sharing framework. Relying solely on large-scale channel state information, the approach significantly reduces system overhead and complexity under coarse synchronization conditions. Furthermore, by integrating link-characteristic clustering with a divide-and-conquer optimization strategy, the solution effectively circumvents NP-hard computational bottlenecks. The proposed scheme not only ensures efficient communication coverage for low-altitude aerial vehicles but also offers a practical pathway toward the evolution of integrated space–terrestrial networks.

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📝 Abstract
Driven by both technological development and practical demands, the low-altitude economy relying on low-altitude aircrafts (LAAs) is booming. However, neither satellites nor terrestrial fifth-generation (5G) networks alone can effectively satisfy the communication requirements for ubiquitous lowaltitude coverage. While full integration of satellites and 5G networks offers theoretical benefits, the associated overhead and complexity pose significant challenges for rapid deployment. As a more economical and immediately viable alternative, this paper investigates partially-integrated networks where satellites and 5G systems operate with coarse synchronization yet achieve coordinated spectrum sharing, pooling their capabilities to jointly serve LAAs. Leveraging the inherent position-awareness of LAAs, we propose a framework for joint time-frequency spectrum sharing with an adaptive synchronization time scale, where only large-scale channel state information (CSI) is required. To avoid solving the NP-hard optimization problem directly, link-feature-aided clustering is employed following a divide-andconquer strategy. The proposed framework achieves substantial performance gains with low overhead and complexity, enabling swift advancement of low-altitude applications while paving the way for future integrated satellite-terrestrial network evolution.
Problem

Research questions and friction points this paper is trying to address.

low-altitude economy
satellite-5G coordination
spectrum sharing
low-altitude aircrafts
ubiquitous coverage
Innovation

Methods, ideas, or system contributions that make the work stand out.

coordinated spectrum sharing
partial integration
position-awareness
adaptive synchronization
link-feature clustering
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Y
Yanmin Wang
School of Information Engineering, Minzu University of China, Beijing 100081, China
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Wei Feng
Department of Electronic Engineering, State Key Laboratory of Space Network and Communications, Tsinghua University, Beijing 100084, China
Yunfei Chen
Yunfei Chen
Department of Engineering, University of Durham
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B
Baoquan Ren
China Electronic System Engineering Company, Beijing, China
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Qingqing Wu
Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
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Cheng-Xiang Wang
National Mobile Communications Research Laboratory, School of Information Science and Engineering, Southeast University, Nanjing 210096, China, and also with the Purple Mountain Laboratories, Nanjing 211111, China