Problem
Research questions and friction points this paper is trying to address.
Low-Altitude Economy
Heterogeneous Aircraft Swarms
Power Allocation
Mission Efficiency
SC3 Closed Loop
Mission Efficiency Optimization in Low-Altitude Economy: Adaptive Power Allocation for Coordinating Heterogeneous Aircraft Swarms
🤖 AI Summary
This study addresses the challenges of low collaboration efficiency and power allocation in heterogeneous unmanned aerial vehicle (UAV) swarms within the low-altitude economy. It introduces a novel quantitative metric termed “operational capability entropy” and constructs an SC3 closed-loop model. Methodologically, leveraging linear quadratic regulator (LQR) theory and convex optimization, the complex non-convex joint optimization problem is decomposed into two iteratively solvable convex subproblems with derived closed-form solutions, thereby achieving task-efficiency-oriented adaptive power allocation. Simulation results demonstrate that the proposed scheme significantly outperforms conventional methods, effectively enhancing multi-UAV collaborative mission execution efficiency.
📝 Abstract
With the rapid development of the low-altitude economy, low-altitude operations are booming, where complex missions require collaborative efforts among multiple heterogeneous low-altitude aircrafts (LAAs). Specifically, different LAAs assume distinct roles: some for sensing, some for communication, some for computing, and others for mission execution, together forming a sensing-communication-computing-control (SC3) closed loop, akin to a reflex arc. To enable efficient coordination in such multi-LAA swarms, we introduce the concept of operational-capability entropy (OCE) to quantify the effective work capability of operational LAAs. Accordingly, by jointly considering heterogeneous OCE and channel conditions among LAAs, we formulate the power allocation problem with the goal of minimizing the linear quadratic regulator (LQR) cost, which serves as a metric for mission efficiency. The resulting complex optimization problem is decomposed into two convex subproblems that are solved iteratively, with closed-form solutions derived for each. Simulation results demonstrate that the proposed mission-oriented adaptive power allocation scheme significantly outperforms traditional ones.
Innovation
Methods, ideas, or system contributions that make the work stand out.
Operational-Capability Entropy
Adaptive Power Allocation
Heterogeneous Aircraft Swarms
Linear Quadratic Regulator
Sensing-Communication-Computing-Control
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