A Link Assignment Method Based on Competitive Decision-Making Ideas in Deep Space Network

Abstract

The invention discloses a link allocation method based on competitive decision-making in a deep space network, which includes: defining nodes in the deep space network including deep space relay satellites, earth relay satellites, and ground stations; The network is divided into several time slices; for a certain time slice, the visual relationship between all nodes in the network in the current time slice is obtained, and the weighted visibility matrix and the initial network topology matrix are obtained; by calculating each deep space relay satellite node Obtain the competitiveness of the connection path of the ground station, and determine the link allocation scheme of the deep space network by assigning a path for each deep space relay satellite; compare all link allocations, and select the deep space relay satellite with the smallest average to the ground station The link allocation scheme of the distance is used to obtain the optimized topology of the deep space network. From the perspectives of improving network connectivity and reducing communication delay, the invention solves the problem of link allocation under the condition that the number of satellite visible nodes is more than the number of terminals in the deep space network.

Description

Technical field [0001] The present invention relates to the field of satellite communication, and in particular, to a link allocation method based on competitive decision-making ideas in a deep space network. Background technique [0002] With the development of human deep exploration activities, the increasing scientific data in the future needs to return to the earth. According to the current point-to-point communication, the data on a planet needs to pass through a deep-spaced relationship between the Satellite and the ground to Satellite Links, GSL. However, due to the rotation and satellite movement of the star, GSL often interrupted due to the occlusion of the celestial body, resulting in the data that cannot be returned to the ground station for a long time. It can be seen that the current communication architecture cannot meet the full-time domain, multi-node, full coverage, difficult to support the telemetry, remote control, navigation, voice and other communication type...

AI Technical Summary

Problems solved by technology

It can be seen that many studies have not comprehensively considered network connectivity, node degree constraints and average distance optimization, and are not suitable for topology design under deep space networks.

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