Multi-beam satellite resource allocation method and system

Abstract

The invention provides a multi-beam satellite network resource allocation method. The method is used for a satellite network with flexible communication load configuration, and comprises the steps ofaveragely allocating bandwidth, carrier and power resources in the satellite network to each beam of a satellite, adjusting the power level of each beam to obtain a satellite network resource initialallocation scheme, and initializing a resource adjustment strategy at the same time; calculating the resource allocation state and the supply and demand difference of each beam based on the resource demands of all users in each beam coverage range and the currently allocated network resources of the beams, and calculating the resource matching performance index of the satellite network resources according to the resource allocation state and the supply and demand difference of all the beams; performing multiple rounds of global pre-adjustment on the satellite network resource initial allocation scheme to obtain a plurality of global pre-adjustment schemes; and selecting a scheme with an optimal resource matching performance index from all global pre-adjustment schemes, and allocating satellite network resources according to the scheme.

Description

technical field [0001] The present invention relates to the technical field of wireless communication, in particular to dynamic management of resources in the field of wireless communication, and more specifically to a resource allocation method for a multi-beam satellite communication network. Background technique [0002] The business in the satellite network has the characteristics of uniform space and time distribution. Existing multi-beam satellites (including high-throughput satellites) usually use a fixed resource allocation method to allocate network resources to different beams, lacking the ability to allocate resources flexibly. It cannot effectively cope with changes in user services under the coverage of each beam. The resource allocation of the existing resource manager presents two levels of differentiation: on the one hand, the resources allocated to light-loaded beams are excessive, and resources are wasted; Guarantee, resulting in relatively low resource ut...

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Problems solved by technology

However, with the increase of resource management means, the resource management model will consider more factors. For example, the new resource management model needs to consider user service requirements, user channel conditions, network interference, power usage restrictions, frequency usage restrictions, etc. In this high-dimensional information space, when the resource manager calculates the optimal resource allocation scheme of network resources according to the user service requirements under each beam at each time point, there may be infinite resource optimization allocation schemes, which means that from It is almost impossible and time-consuming to find the optimal solution among all the solutions

Some foreign scholars try to use simulated annealing algorithm to solve this kind of high-dimensional resource optimization allocation problem, but when calculating the optimal strategy of resource dynamic allocation, it is easy to fall into the local optimal solution, and with the increase of the number of satellite beams, the computational complexity becomes exponential Level growth, time-consuming is very serious, it is difficult to meet the requirements of the business to dynamically adjust the resource allocation plan every hour

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