异构网络中的干扰统计建模研究

项目名称： 异构网络中的干扰统计建模研究

项目编号： No.61471347

项目类型： 面上项目

立项/批准年度： 2015

项目学科： 无线电电子学、电信技术

项目作者： 朱元萍

作者单位： 中国科学院上海微系统与信息技术研究所

项目金额： 80万元

中文摘要： 各类小小区技术的涌现为满足呈爆炸式增长的用户需求提供了解决思路，也促使异构组网成为未来网络部署的必然方向。在异构网络中，小小区密集部署，运营管理灵活，致使小区间干扰严重且场景复杂。这不仅限制了网络容量的提升，对干扰协调方案的设计也提出了很大挑战。面对这一挑战，本项目旨在建立异构网络小区间干扰的统计模型。具体地，先对异构网络建立合适的系统模型，然后区分各类干扰场景，从理论研究的角度出发，利用随机几何和统计分析的手段，对异构网络中上行链路和下行链路的小区间干扰分别进行统计建模。通过所建干扰统计模型体现多种参数（包括系统可调参数和环境参数）对小区间干扰统计特性的影响，指导系统参数的设置，并从机制和算法两个方面设计干扰协调方案。项目的产出将为异构网络组网参数优化和小区间干扰管理方案的设计与评估奠定理论基础。

中文关键词： 异构网；小区间干扰；统计模型；随机几何

英文摘要： The emergence of multiple small cell technologies provides solution for the explosive growth of users' data rate demand. Thus, the deployment of heterogeneous networks (HetNet) will be popular in the future networks. Since there are numerous hyper dense deployed small cells, and the operation of these cells are flexible, the inter-cell interference (ICI) of HetNet is serious, and the corresponding interference scenario becomes complex. Thus, it is difficult to design useful inter-cell interference coordination (ICIC) schemes, and the system capacity will be impacted. To deal with the challenge, this project aims at modeling the ICI of HetNet statistically. Concretely, a suitable system model for HetNet is necessarily to be proposed at first. After that, we should distinguish different interference scenarios, and use stochastic geometry and statistical analysis to get the theoretical model of the ICI for both the uplink and the downlink. Through the derived theoretical model, the influence of multiple parameters (including system adjustable parameters and the environment parameters) on the statistical properties of ICI could be investigated and provide guidelines for setting system parameters. Then, some effective ICIC mechanisms or algorithms will be designed pertinently. The output of this project will establish theoretical foundation for parameters optimization and the evaluation of ICI management schemes in HetNet.

英文关键词： Heterogeneous networks;Inter cell interference;Statistical modeling;Stochastic geometry