A novel scheme of cross-network radio resources scheduling in SAGN based on unified resources mapping and genetic algorithm,International Journal of Communication Systems

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A novel scheme of cross-network radio resources scheduling in SAGN based on unified resources mapping and genetic algorithm
International Journal of Communication Systems ( IF 1.7 ) Pub Date : 2021-05-06 , DOI: 10.1002/dac.4844
Zhongguo Li ₁ , Fuxing Yang ₁ , Wenliang Lin ₂ , Ke Wang ₃ , Zhongliang Deng ₂ , Xiaoyi Yu ₂ , Liangliang Fan ₂ , Lei Gu ₂

Affiliation

To decrease human deaths in the disaster and ensure the efficiency of emergency aid, high accuracy logistics can play an important role. To achieve this target, anytime and anywhere communications would contribute to rapid information interaction on situation monitoring of logistics. Space-air-ground network (SAGN) is the network combined with satellite network, aerial network, and territorial network, which can achieve global communication coverage. That means it would be a heterogeneous network, in which each network providing with different radio communication resources. If we would like to exploit the SAGN to achieve reliable support of communication, we have to solve the problems of the unified mapping of different radio communication resources. Besides, we should further design the exact scheduling scheme for the communication service of emergency logistics with global heterogeneous networks. Therefore, we propose a novel scheme of cross-network radio resources scheduling in SAGN based on unified resources mapping and genetic algorithm. First, we build the system model for SAGN in the scenario of emergency logistics. Second, the unified resource mapping method is proposed, which achieves global cross-network resources virtualization by the quality of service (QoS) bearer matching. Third, the multi-population genetic algorithm is introduced to relate with each network resource to achieve available virtual global radio communication resource scheduling. The simulation results show that the resource efficiency of this proposed scheme has a better performance compared with the other resource scheduling method, which increased by 11.8% compared with bottom-left (BL) algorithm.

中文翻译：

基于统一资源映射和遗传算法的SAGN跨网无线资源调度新方案

为了减少灾害中的人员死亡，确保紧急救援的效率，高精度物流可以发挥重要作用。为实现这一目标，随时随地的通信将有助于实现物流态势监测的快速信息交互。空空地网（SAGN）是卫星网、空中网和地域网相结合的网络，可以实现全球通信覆盖。这意味着它将是一个异构网络，其中每个网络提供不同的无线电通信资源。要想利用SAGN实现对通信的可靠支持，就必须解决不同无线通信资源统一映射的问题。除了，我们应进一步设计具有全球异构网络的应急物流通信服务的精确调度方案。因此，我们提出了一种基于统一资源映射和遗传算法的SAGN中跨网络无线资源调度的新方案。首先，我们建立了应急物流场景下SAGN的系统模型。其次，提出统一资源映射方法，通过服务质量（QoS）承载匹配实现全局跨网络资源虚拟化。第三，引入多种群遗传算法与每个网络资源相关联，实现可用的虚拟全球无线电通信资源调度。%与左下角 (BL) 算法相比。

更新日期：2021-06-21

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