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  • 學位論文

應用於無線隨意網路之聯合波束成型器設計

Power-efficient Joint Transmitter-Receiver Beamformer Design for Wireless Ad Hoc Network

指導教授 : 闕志達

摘要


無線隨意網路隨著無線通訊的日新月異發展,也逐漸成為另一項無線網路的重要應用範疇,由於建構此種網路的過程中不需要額外的基礎建設,因此,此種網路適合建構於缺乏基礎設施之地區;並且,由於此網路之分散式控制結構可以提供不同於一般無線網路之強建的特點。所以無線隨意網路也近年來已逐漸蓬勃的發展,逐漸成為除了一般無線網路之外的另外一種不同的未來無線通訊發展之新方向。 在本論文當中,將針對無線隨意網路之特性,並且依據802.11的隨意模式,建構出此種網路之運作流程,並且依據運作流程中的兩種傳播方式:單一播送以及多重播送方式,建立起聯合傳送端與接收端之波束成型設計模式。由於無線隨意網路不同於一般的傳統無線網路,缺少了具有控制力的接取點或是基地台存在於網路當中,也常常造成了不必要的能量消耗。因此,將波束成型應用於無線隨意網路當中,可以減少傳送端所需要傳送能量消耗並且可以減少網路當中使用者之間的互相干擾,對於整體無線隨意網路效能有著顯著的改善。而本論文於介紹完兩種不同應用場景的波束成型設計方式之後,皆有與其他一些已知的波束成型設計方式做出比較,並作出模擬,以確定此種波束成型設計方式可以適用於無線隨意網路當中。而本論文將會仔細探討設計波束成型演算法之流程。

並列摘要


Wireless Ad Hoc network, in recent several years, has been widely thought of as another possible development direction in wireless network in contrast with traditional infrastructure based wireless network. Because wireless ad hoc network doesn’t need any time or cost spent on infrastructure construction, so it can be used in remote area or the place where doesn’t exist any infrastructure. And because of its distributive nature, ad hoc network is more robust compared to traditional wireless network. Due to several unique advantages, wireless ad hoc network makes more researchers and engineers pay more attention to it. In this thesis, an ad hoc network operation flow chart is proposed based on ad hoc network feature and 802.11 Ad Hoc mode standard. And in this flow chart, we have two communication scenarios in wireless ad hoc network: unicast and multicast. So, we will design the joint transmitter-receiver beamformer algorithm at both ends to utilize the power-saving and interference-mitigation characteristics of beamforming. And both two characteristics are important to build up a power-efficient transceiver in wireless ad hoc network. After each of the two beamforming design algorithms, we will make some simulation results and compared with some existing algorithms to see its performance. From the comparison result, we can find these two beamforming design algorithms are efficient in reducing the transmit power. Here we will discuss the detail derivations in how to design these two types of beamforming algorithms.

參考文獻


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