Geo Satellite Channel Allocation Strategy Based on Flow Prediction
A satellite channel and allocation strategy technology, which is applied in the field of satellite communication, can solve the problems of low utilization rate of satellite channel resources and low overall user satisfaction, and achieve the effect of improving channel utilization rate, improving user satisfaction, and ensuring QoS requirements
Active Publication Date: 2018-10-12
NANJING UNIV OF POSTS & TELECOMM
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[0004] Aiming at the problem that the satellite channel resource allocation only considers the priority, resulting in low utilization rate of the entire satellite channel resource and low overall user satisfaction, the present invention provides a GEO satellite channel allocation strategy based on traffic prediction, and proposes priority and utility The method of maximizing the combination first guarantees the QOS of voice users, and then allocates data services and streaming media services according to the utility maximization, predicts the traffic volume of each service in the next time slot according to historical service data, and provides decision support for channel allocation of different services
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[0036] The satellite network architecture adopted by the present invention is as follows: figure 1 , the present invention mainly is made up of three parts, and the one, forecasting part, uses combination ARIMA and gray model to predict the business volume of various business of satellite next time slot; Businesses with different priorities adopt different channel allocation methods, and are allocated according to different business types; third, after the business type is determined, voice services are allocated with guaranteed QOS priority, and data services and streaming media services maximize the remaining channel resources according to the utility distribute.
[0037] 1. The present invention provides decision-making support for different services accessing the GEO satellite network by predicting the traffic volume of the next time slot of the GEO satellite:
[0038] GEO satellite network traffic has self-similarity, but also has the characteristics of great randomness ...
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The present invention provides a GEO satellite channel allocation strategy based on traffic forecasting. Firstly, a prediction model for traffic volume in the next satellite time slot is proposed, which accurately predicts the need to access different types of traffic volume in the next time slot of the satellite, and provides access for different services. The GEO satellite network provides decision-making support; then channel resources are allocated for various services of the GEO satellite network, and the priority method is used to ensure that the voice service access meets its QOS. Allocation according to the utility maximization model improves the overall user satisfaction. The invention enables the services of different priorities in the satellite network to be reasonably connected to the GEO satellite network, improves the channel resource utilization rate and user satisfaction of the GEO satellite system, reduces the waste of satellite channel resources, and improves the efficiency of satellite communication.
Description
technical field [0001] The invention relates to a GEO satellite channel allocation strategy based on flow prediction, and belongs to the technical field of satellite communication. Background technique [0002] As a communication solution for coverage areas such as air, sea and complex geographical structures, the high-orbit satellite network is an important part of achieving seamless global coverage. Among them, GEO satellite plays a very important role in communication. Radio resource management is an important part of GEO satellite communication system research, because satellite channel resources are precious, and the high delay of satellite network structure makes GEO satellite network channel allocation more complicated than terrestrial network. The channel resources of high-orbit satellite communication are limited. How to improve the channel utilization rate and meet the quality of service of user business under the limited resources is the key issue in the research...
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IPC IPC(8): H04B7/185H04W72/10
CPCH04B7/18578H04W72/56
Inventor 孙力娟张小飞王汝传周剑韩崇肖甫郭剑
Owner NANJING UNIV OF POSTS & TELECOMM