Abstract
Satellite communication has become an important research trend in the field of communication technology. Low‐orbit satellites have always been the focus of extensive attention by scholars due to their wide coverage, strong flexibility, and freedom from geographical constraints. This article introduces some technologies about low‐orbit satellites and introduces a routing algorithm DDPG based on machine learning for simulation experiments. The performance of this algorithm is compared with the performance of three commonly used low‐orbit satellite routing algorithms, and a conclusion is drawn. The routing algorithm based on machine learning has the smallest average delay, and the average value is 126 ms under different weights. Its packet loss rate is the smallest, with an average of 2.9%. Its throughput is the largest, with an average of 201.7 Mbps; its load distribution index is the smallest, with an average of 0.54. In summary, the performance of routing algorithms based on machine learning is better than general algorithms.
Highlights
Satellite communications have gradually gained popularity in the fields of radio and television and multimedia communications
The routing optimization algorithm based on machine learning can learn a good mapping relationship between traffic characteristics and routing strategies based on historical data
This article introduces a traffic load balancing routing algorithm combined with machine learning and studies some basic performance of this algorithm, as follows: (1) The basic composition, structure, and common parameters of the LEO satellite system are introduced
Summary
Satellite communications have gradually gained popularity in the fields of radio and television and multimedia communications. People are beginning to require satellite networks to meet user requirements for delay, bandwidth, and fault tolerance. Services such as global positioning, remote communication, and telemedicine provided by satellite networks have long been closely related to people’s daily lives. It plays a huge role in promoting logistics and transportation, environmental monitoring, material exploration, navigation positioning, digital city, and other related fields. The research of machine learning in routing algorithms is still in the early stage When it is used, it will bring surprises to people
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