商业建筑中Femtocells的高效部署

发布时间：2018-03-22 08:02

本文选题：网络覆盖　切入点：网络部署　出处：《华中科技大学》2014年硕士论文　论文类型：学位论文

【摘要】：目前,商业环境的规划非常复杂,正因为如此,室内无线网络的覆盖显得尤为重要。随着室内数据业务量和语音业务量快速上升的需要,本次课题主要研究如何解决频谱资源稀缺的问题和无线网络优化的问题。在本论文中,引入了新颖的毫微微蜂窝基站部署,用于提高商业建筑中室内无线网络覆盖的效率。通过本次课题研究,通过抑制干扰达到以最小的毫微微蜂窝基站数量保证覆盖的全面性以及足够的资源容量。该部署方案引入了一些创新性的算法,并且认为信号接收点的干扰信噪比能够达到预期的目的。本文提出的部署方案是基于贪婪算法,并利用定位调整发现弱覆盖。首先,我们将商业建筑分成子区域,然后对这些子区域再次细化到用户个体。分区细化有效的对毫微微蜂窝部署的数量进行了估计。其次,通过容量估计得出最终能够达到高效覆盖的毫微微蜂窝基站数量。由于考虑了包括干扰抑制在内的诸多因素,从仿真结果看,我们的部署方案比之前商用的无线网络部署方案要好很多。
[Abstract]:At present, the planning of business environment is very complicated, because of this, the coverage of indoor wireless network is particularly important. This paper mainly studies how to solve the problem of spectrum resource scarcity and wireless network optimization. In this paper, a novel femto cellular base station deployment is introduced. To improve the efficiency of indoor wireless network coverage in commercial buildings. By suppressing interference to the minimum number of femtosecellular base stations to ensure coverage and adequate resource capacity. This deployment scheme introduces some innovative algorithms, It is considered that the signal-to-noise ratio at the reception point can achieve the desired purpose. The deployment scheme proposed in this paper is based on greedy algorithm and uses location adjustment to find weak coverage. Firstly, we divide commercial buildings into sub-regions. These sub-regions are then refined to the user individual again. The number of femtocellular deployments is estimated effectively by partition refinement. Second, Finally, the number of femtosecellular base stations that can be efficiently covered is obtained by capacity estimation. As many factors including interference suppression are taken into account, the simulation results show that, Our deployment plan is much better than the previous commercial wireless network deployment plan.
【学位授予单位】：华中科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN929.5

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