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异构融合无线网络的无线资源管理算法研究

The Research of Radio Resource Management Algorithm in Heterogeneous Wireless Network

【作者】 王维嘉;

【导师】 靳浩;

【作者基本信息】 北京邮电大学 , 通信与信息系统, 2012, 硕士

【摘要】 下一代无线网络的一个显著特点是无线网络和移动终端的异构性,“异构性”的含义包含了不同速率链路或不同接入技术的相互融合,以及不同接收能力终端的协同工作。如何有效地管理和利用异构无线网络的资源,挖掘出异构无线网络的潜在性能,为用户提供更高的服务质量(QoS),是目前异构无线网络的研究热点。论文针对异构融合无线网络的无线资源管理问题进行了研究,首先调研了异构网络无线资源管理的研究现状,包括异构网络无线资源管理的架构、现有主要异构无线资源管理算法以及当前无线资源管理的标准化。其次,针对基于LTE和WLAN的异构融合无线网络,提出了基于OPNET的异构融合仿真平台架构及其仿真实现方案,并重点对WLAN网络相关关键技术进行了仿真实现,包括仿真平台各个功能模块的设计、802.11n中信道接入和帧聚合等关键技术的实现。第三,基于所搭建的异构融合系统级仿真平台,本文提出了异构无线资源管理算法的仿真实现方案,分别是基于数值的异构网络选择算法和基于过载识别的异构负载均衡算法,包括算法的流程框架以及具体实现步骤。最后,给出了上述算法在特定场景下的仿真结果,与随机接入算法相比,所实现的基于数值的网络选择算法在吞吐量方面具有一定的优势。

【Abstract】 A remarkable characteristic of the next generation wireless network is the heterogeneity of wireless network and mobile terminal. "Heterogeneous" contains a different rate link or different access technology integration, as well as the different receiving ability of terminal. How to effectively manage and use the heterogeneous wireless network resources, and dig out the heterogeneous wireless network potential performance, in order to provide users with a higher quality of service (QoS), is the focus research in the heterogeneous wireless network.The wireless resource management issues in heterogeneous wireless network are researched in this thesis. Firstly the current study of heterogeneous network wireless resource management is researched, including the structure of heterogeneous network wireless resource management, the existing main heterogeneous wireless resource management algorithms and the current wireless resources management standardization. Secondly, based on LTE and WLAN heterogeneous wireless network, the structure of heterogeneous simulation platform and its simulation scheme based on OPNET is put forward, with emphasis on implementing the key technologies of WLAN network, including the design of each function module in the simulation platform, channel access in 802.11 n and the realization of key techniques of frame polymerization. Thirdly, based on the heterogeneous network system level simulation platform, the implementation scheme of two heterogeneous wireless resource management algorithms are presented, which are the heterogeneous network selection algorithm based on the value and heterogeneous load balancing algorithm based on overload recognition, including algorithm framework and the specific implementation steps. Finally, the algorithm simulation results are given in specific scenes. Compared with the random access algorithm, the network selection algorithm based on value outperforms in throughput.

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