异构无线网络协作干扰管理及容量分析

Heterogeneous networks with the effective improvement of the coverage and capacity of the wireless communication are recognized as one of the important forms of the future wireless communication. However, heterogeneous networks interference management is facing tough challenges. This problem has drawn great international attention and requires further systematical study on its relevant theory and method. This project attempts to carry out research on theory and method of coordinated interference management and system capacity of the heterogeneous networks. It involves: 1) using stochastic geometry theory to build the theoretical model with the spatial characteristics of the heterogeneous networks; analyzing the statistical distribution of the heterogeneous networks interference; studying the closed form solution and the upper and lower bounds of the heterogeneous networks transmission capacity under the impact of the path loss and shadow fading while illustrating the effects of different channel models on heterogeneous networks capacity.2) focusing on coordinated interference management based on heterogeneous networks, using distributed interference management to overcome the limitedness of heterogeneous networks backhaul.3)exploring the complexity controllable distributed interference management and system optimization methods, using stochastic geometry to discuss the overall performance of the heterogeneous network and its outage probability and transmission capacity under the control of different interference management. The arm of this project is to provide theoretical guidance for designing the comprehensive and effective interference management of heterogeneous networks.

异构网络能够有效提高无线通信的覆盖率以及通信容量，被认为是无线通信未来发展的一种重要形式。然而异构网络的干扰管理面临严峻的挑战，正得到国际上越来越广泛的关注，相关的理论方法尚需深入系统地研究。本项目拟展开异构网络的协同干扰管理理论方法和系统容量方面的研究，包括：（1）采用随机几何理论，构建异构网络空间特性的理论模型，分析异构网络的干扰统计分布特性，在考虑路径损耗以及阴影衰落的影响下，研究异构网络传输容量的闭合解及上，下界，揭示各种信道模型对异构网络容量的影响；（2）研究针对异构网络特点的协作干扰管理方法，采用分布式干扰管理手段，克服异构网络回程链路受限问题；（3）探索复杂度可控的分布式干扰管理与系统优化方法，利用随机几何理论讨论干扰管理下的异构网络整体性能，分析异构网络不同干扰管理下所对应的中断概率及传输容量，为设计异构网络的综合有效干扰管理手段提供理论指导。

异构网络能够有效提高无线通信的覆盖率以及通信容量，被认为是无线通信未来发展的一种重要形式。异构蜂窝网络和认知无线电网络就是其中两种典型的异构网络。干扰问题是异构网络所面临的严峻挑战之一，得到了研究人员的广泛关注，是未来通信必须解决的关键技术。项目组围绕异构网络的干扰管理问题展开了深入研究，主要包括(1)研究异构网络协作干扰管理方法。考虑频率域干扰对齐符号扩展的局限性，提出了一种低复杂度频率调度干扰对齐策略，在充分考虑用户公平性的同时有效提高网络系统总体性能。(2)针对认知无线网络，通过优化干扰抵消信号前缀，解决非连续载波正交频分复用次用户对主用户的干扰问题。实验仿真结果验证了所提方法的有效性，性能指标相对于传统方法有10dB以上的改善。(3)设计实现一种非正交的主动干扰抑制方法，该方案在降低了计算量的同时能够有效抑制旁瓣干扰。(4)提出了一种可变干扰抵消基函数设计方案，实现次用户在主用户频段的干扰抵消，同时减少了所引入的载波间干扰。