星地一体化网络中基于能效的资源管理技术研究

发布时间：2018-05-09 20:32

本文选题：星地一体化网络 + 异构云接入　；参考：《哈尔滨工业大学》2017年硕士论文

【摘要】：星地一体化网络由于具备卫星网络覆盖域广和地面网络承载业务量大的特色,具有全天候无缝覆盖等特点,是通信行业打造“一带一路”的重要信息桥梁。卫星网络与地面网络相辅相成互相影响,共同作用于地面用户。本课题将地面用户终端主要分为两大类:卫星网络终端用户以及地面基站用户。星地频谱共享方案的提出大幅度提升了系统的频谱利用率,然而这也面临另一个困扰,卫星网络与地面网络之间的会产生一定的同频干扰,这导致星地链路同频干扰大幅度降低,信干噪比(SINR,Signal to Interference plus Noise Radio)、能量效率较低。因此,不断优化星地频谱共享方案已成为当前研究的热点问题。星地一体化网络能够充分利用卫星网络广阔的服务区域以及地面网络的用户密集自适应云接入的互补优势,从而实现高速移动宽带网络的全天候以及全地域无缝覆盖,满足各类用户对于全球全天候无缝覆盖通信的客观需求。本课题立足于星地一体化网络背景下,为了应对局域业务量大,大面积区域少量业务需求等问题,即如何在网络资源有限的情况下提高网络吞吐量和能量效率,保证用户能够自适应接入,提供良好的用户体验(Qo E,Quality of Experience),本文在兼顾吞吐量的同时,提出具有高能量效率的无线资源管理方案。本文推导星地链路的SINR与能量效率之间的动态关系,分析终端用户位置、保护区大小、终端用户发射功率对星地链路SINR、能量效率等性能的影响,提出一种能量高效的频谱资源分配方案,即联合地面软频率复用策略,对小区边缘用户对应的频段保护级别进行排序,优先分配较高级别的保护频段给较为边缘的用户。能量高效的星地频谱共享方案的建立使得来自卫星的同频干扰大幅地降低,此外,地面蜂窝基站间的干扰协调能够提升了系统的吞吐量,使蜂窝用户获得了一定的抗干扰增益,进一步降低了卫星干扰对用户的影响。由于处于城市环境下由于穿墙损耗很大,部分办公、家庭微基站对用户的INR过小,因此,为了提升能效在Co MP过程中不予以考虑。本课题提出一种信道矩阵稀疏化算法来进行选择性波束赋形,并将该方案应用于H-CRAN场景。本算法能够大量降低了在波束赋形过程中基带处理的功耗,提升了系统的能量效率。
[Abstract]:The integrated satellite network has the characteristics of wide coverage of satellite network and large carrying capacity of terrestrial network, and has the characteristics of all-weather seamless coverage, which is an important information bridge for the communication industry to build "Belt and Road". Satellite network and terrestrial network complement each other and act together on the ground users. In this paper, terrestrial user terminals are divided into two categories: satellite network terminal users and terrestrial base station users. The proposed scheme of satellite-ground spectrum sharing has greatly improved the spectral efficiency of the system. However, it also faces another problem. The satellite network and the terrestrial network will produce some interference of the same frequency. This results in a significant reduction of co-frequency interference, signal-to-noise ratio (SINR) signal to Interference plus Noise radiograph, and low energy efficiency. Therefore, the optimization of satellite-earth spectrum sharing schemes has become a hot issue. The satellite and earth integrated network can make full use of the complementary advantages of the vast service area of the satellite network and the user intensive adaptive cloud access of the terrestrial network, so as to realize the high-speed mobile broadband network all weather and the seamless coverage of the whole region. To meet all kinds of users for the global seamless coverage of communications objective requirements. This subject is based on the background of integrated satellite and earth network, in order to deal with the problems of large local traffic and small amount of service in large area, that is, how to improve the network throughput and energy efficiency under the condition of limited network resources. In order to ensure that users can adaptively access and provide a good user experience, this paper proposes a wireless resource management scheme with high energy efficiency while taking account of throughput. In this paper, the dynamic relationship between SINR and energy efficiency of satellite-ground link is derived, and the effects of end-user location, size of reserve and transmit power of end-user on the performance of satellite-to-ground link, such as SINR, energy efficiency, etc., are analyzed. In this paper, an energy-efficient spectrum resource allocation scheme is proposed, which combines ground soft frequency multiplexing strategy to sort the corresponding frequency band protection level of the cell edge users, giving priority to the higher level of protection frequency band to the more marginal users. The establishment of an energy-efficient satellite-ground spectrum sharing scheme greatly reduces the co-frequency interference from satellites. In addition, interference coordination among ground cellular base stations can improve the system throughput and enable cellular users to obtain a certain anti-jamming gain. Further reduces the satellite interference to the user's influence. Due to the large wear through the wall and partial office work, the INR of the home microbase station is too small for the users in the urban environment. Therefore, in order to improve the energy efficiency, it is not considered in the process of Co MP. This paper presents a channel matrix sparse algorithm for selective beamforming and applies it to H-CRAN scenarios. This algorithm can greatly reduce the power consumption of baseband processing in beamforming process and improve the energy efficiency of the system.
【学位授予单位】：哈尔滨工业大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TN927

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