An unmanned cluster networking method for maximizing spectrum capacity

By calculating the minimum transmit power and dynamically optimizing the power margin for UAV users, the problem of limited spectrum resources and high computational complexity in UAV swarm networking is solved, achieving efficient spectrum resource utilization and stable communication connection, which is suitable for large-scale UAV swarm networking.

CN122765508APending Publication Date: 2026-09-15THE 54TH RESEARCH INSTITUTE OF CHINA ELECTRONICS TECHNOLOGY GROUP CORPORATION
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Patent Information

Application Number
CN202611211050.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-08-11
Publication Date
2026-09-15

AI Technical Summary

Technical Problem

In unmanned cluster networking, spectrum resources are limited and utilization efficiency is low. Existing methods have high computational complexity in large-scale cluster scenarios, making it difficult to complete decisions within milliseconds, resulting in wasted spectrum resources and low communication efficiency.

Method used

By calculating the minimum transmit power requirement for each UAV user, dynamically calculating power margin priority, and using a greedy access strategy and incremental approach to update the system status, multiple users can reuse the same channel, optimizing spectrum resource allocation and power control, thus achieving high-capacity networking with low computational complexity.

Benefits of technology

It achieves efficient and stable unmanned cluster networking under limited spectrum resources, avoids the problem of insufficient speed in traditional methods, is suitable for distributed deployment, simplifies engineering implementation, and improves spectrum utilization efficiency.

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Abstract

The application discloses an unmanned cluster networking method for maximizing spectrum capacity and belongs to the technical field of unmanned cluster networking. The method comprises the following steps: initializing the transmission-reception pairing relationship and the available channel set between unmanned aerial vehicles (UAVs) in a region, and receiving the self-information reported by each UAV through an uplink control channel; screening accessible UAVs according to the limitation of the maximum communication distance and the highest transmission power; initializing the accessed UAV set and the multiplexing set on each available channel, adding the accessible UAVs meeting the conditions into the networking one by one, and completing the networking planning; and notifying the corresponding UAVs of the channel allocation and the transmission power setting of each UAV in the networking planning through downlink control signaling, and completing the networking. The application has the advantages of low calculation complexity, no need of backtracking and strong real-time performance, and is suitable for large-scale unmanned cluster networking scenarios.
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