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Interference management for spectral coexistence in a heterogeneous satellite network
International Journal of Satellite Communications and Networking ( IF 1.7 ) Pub Date : 2020-01-24 , DOI: 10.1002/sat.1321
Pedram Hajipour 1 , Ali Shahzadi 2 , Saeed Ghazi‐Maghrebi 3
Affiliation  

With the advent of the fifth generation of mobile radio communication by 2020, there will be many challenges such as increasing service demand with low delay in providing billions of end users called the satellite mobile users. It is expected that terrestrial communication systems will be faced with a dense network having many small cells anywhere and anytime. Therefore, there are some remote regions in the world where terrestrial systems cannot provide any services to end users. Furthermore, because of lack of spectral resources, it is very important that the spectrum is shared between satellite systems and terrestrial equipment by a suitable solution to interference management. In this paper, a heterogeneous satellite network that includes low earth orbit (LEO) satellite constellation and terrestrial equipment is proposed to provide low delay services. In this type of structure, interference management based on transmission power control between LEO satellite systems and mobile users is very important for obtaining high throughput. Moreover, in order to mitigate interference, transmission power control is shown based on noncooperative Stackelberg game under many subgames through pricing‐based algorithm and convex optimization method. Finally, the simulation results show that the performance of this study's system model will be improved through the proposed algorithm.

中文翻译:

异构卫星网络中频谱共存的干扰管理

随着到2020年第五代移动无线电通信的到来,将面临许多挑战,例如在提供数十亿最终用户(称为卫星移动用户)方面以较低的延迟增加服务需求。预计地面通信系统将面对一个密集的网络,该网络具有随时随地的许多小小区。因此,世界上有些偏远地区的地面系统无法向最终用户提供任何服务。此外,由于缺乏频谱资源,通过适当的干扰管理解决方案在卫星系统和地面设备之间共享频谱非常重要。在本文中,提出了一种包括低地球轨道(LEO)卫星星座和地面设备的异构卫星网络,以提供低延迟服务。在这种类型的结构中,基于LEO卫星系统和移动用户之间的传输功率控制的干扰管理对于获得高吞吐量非常重要。此外,为了减轻干扰,通过基于定价的算法和凸优化方法,在许多子博弈下,基于非合作Stackelberg博弈展示了传输功率控制。最后,仿真结果表明,所提出的算法将改善本研究系统模型的性能。LEO卫星系统与移动用户之间基于传输功率控制的干扰管理对于获得高吞吐量非常重要。此外,为了减轻干扰,通过基于定价的算法和凸优化方法,在许多子博弈下,基于非合作Stackelberg博弈展示了传输功率控制。最后,仿真结果表明,所提出的算法将改善本研究系统模型的性能。LEO卫星系统与移动用户之间基于传输功率控制的干扰管理对于获得高吞吐量非常重要。此外,为了减轻干扰,通过基于定价的算法和凸优化方法,在许多子博弈下,基于非合作Stackelberg博弈展示了传输功率控制。最后,仿真结果表明,所提出的算法将改善本研究系统模型的性能。
更新日期:2020-01-24
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