联合干扰对齐与多跳组簇的密集WLAN广域吞吐量提升方法研究

With dramatical growing of wireless access demands, high-density distribution of users and access points becomes the top characteristic of WLAN (Wireless Local Area Network), which will lead to dramatically decreasing of multiple access efficiency and serious inter-cell co-channel interference. This project will conduct research, from the point of area throughput, on interference alignment and grouping based methods to improve the overall performance of dense WLAN. In order to address the problem of efficiency decrease of multiple access caused by high-density distribution of users, we will conduct research on grouping based networking methods, including grouping-oriented throughput modeling, multi-hop topology control based on the throughput model, and load-adapting channel allocation algorithms for groups. In order to address the inter-cell/group interference problem caused by high-density location of access points, we will conduct research on interference alignment based interference management methods, including low-cost distributed interference alignment algorithms and the related protocol that applies to WLAN. The achievements of this project will be capable of enhancing the performance of dense WLAN, and provide theoretical fundamentals and technical supports for the design and standardization of the next generation of WLAN.

随着宽带无线接入需求的不断增长，用户/接入点密集分布将成为下一代无线局域网的重要特征，并将导致严重的多址接入效率下降和小区间同信道干扰问题。本项目从广域吞吐量（Area Throughput）的角度切入，研究联合干扰对齐和多跳组簇技术，提升密集无线局域网的整体效能。针对用户密集导致的多址接入效率下降问题，项目将研究多跳分簇组网方法，包括面向组簇的吞吐量模型、基于吞吐量模型的多跳拓扑控制算法，以及基于负载适配的簇间资源配置技术；针对接入点密集导致的小区/簇间同信道干扰问题，项目将研究基于干扰对齐的干扰管理方法，包括低开销分布式干扰对齐算法和适应密集无线局域网的干扰对齐协议。研究成果将能够实现密集无线局域网整体性能的增强，并为下一代无线局域网的设计和标准制定提供理论基础和技术支撑。

针对密集无线局域网（Wireless Local Area Network，WLAN）中，多址接入效率下降和小区间同信道干扰导致的WLAN覆盖区域吞吐量下降问题，本项目研究了联合干扰对齐和多跳组簇的WLAN广域吞吐量(Area Throughput)提升方法。通过多跳组簇技术改善了密集WLAN各小区的多址接入效率，通过干扰对齐技术实现了密集WLAN小区间同信道干扰的消除，二者的联合使用能够提升密集WLAN覆盖区域的整体吞吐量。主要成果如下：首先，构建了多跳组簇WLAN的吞吐量模型，揭示了多跳组簇的拓扑控制和资源配置对WLAN吞吐量的影响；设计了蜂窝式多跳组簇拓扑控制算法，能够支持大范围覆盖和大用户量接入；设计了联合资源配置的多跳组簇拓扑控制算法，能够有效提升密集WLAN覆盖区域各小区的吞吐量。其次，提出了基于广义奇异值分解的高自由度WLAN多小区干扰对齐算法，能够提供高的系统最大可达自由度，实现密集WLAN覆盖区域整体吞吐量的提升；设计了低开销分布式WLAN干扰对齐算法和协议，提供了WLAN多小区干扰对齐的工程实现方法。上述研究成果为新一代无线局域网的设计提供了理论基础和技术支撑。本项目在国际主流会议和期刊上发表论文10篇，申请国家发明专利8项，其中授权专利5项。