无线协作网络中的节点选择研究
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摘要
随着无线通信的发展,协作技术成为当今无线通信的一项重要技术。无线协作通信网络中各节点之间的协作能够提高中断性能,而无线频谱感知网络中感知节点的协作能够提高感知性能。在协作网络中,节点选择问题是基本问题乙一。
本文首先介绍了无线协作通信网络的基本模型和基本方法,然后介绍了节点选择问题的研究现状,指出节点选择对协作通信网络性能有很大的提升。最后介绍了无线协作频谱感知网络中频谱感知的基本方法和节点选择的研究现状。
目前放大转发协作通信网络中的节点选择算法大部分是基于瞬时信道信息的节点选择,这需要准确的信道估计和大量的信道反馈,在实际系统中较难实现。基于此,论文首先研究基于部分信道信息的节点选择。在放大转发协作通信中,已知协作通信过程中一个阶段的瞬时信道信息和另一个阶段的统计信道信息的条件下,提出两种节点选择算法,并且分析这两种算法的中断概率性能。随后,为了进一步降低节点选择对信道估计和反馈的依赖,研究在已知两个阶段的统计信道信息的条件下,如何选择最优的中继节点集合进行协作的问题。通过对中继节点定义的等效信道增益参数的排序,以及根据由等效信道增益参数计算的等效信噪比门限,指出在不同的信噪比条件下应选择不同的中继节点集合参与协作。
网络编码在协作通信中的应用引起人们的广泛关注。把网络编码引入到编码协作当中,提出一种新的基于网络编码的编码协作传输方式。分析了在该传输方式下的中断概率。分析指出,当两个协作节点之间的信道条件较差时,网络编码能够提升中断性能；反之,网络编码反而会降低中断性能。基于此,论文提出一种自适应的基于网络编码的编码协作通信传输方式。仿真结果表明,这种自适应传输方式的性能在任何信道条件下,其性能都优于传统的编码协作传输方式和前文提出的基于网络编码的编码协作传输方式。在由多个节点构成的基于网络编码的协作通信网络,并已知信道统计信息的条件下,提出两种节点选择的算法,以获得系统的最优性能。仿真结果表明,提出的算法在和穷举算法相近的中断性能的情况下,能够显著降低复杂度。
认知无线电是解决无线频谱资源稀缺的一个重要手段,而其中最重要的是频谱感知。论文首先提出一种在各个感知节点的信噪比不相等情况下的权重融合准则,该准则充分利用了各个感知节点的信噪比信息,可以获得比传统的不考虑信噪比差异性的感知准则更好的感知性能。依据权重因子的大小,提出一种节点选择策略,当某个感知节点的权重因子小于某一门限时,则该节点不参与协作。进一步考虑了节点在感知过程中的资源消耗,定义了感知网络的效用函数,该效用函数很好的体现了感知性能和感知开销的折中。基于此效用函数提出了一种使得效用最大化的节点选择策略。这种节点选择策略更适合实际系统的应用。
本文研究了无线协作网络中的节点选择问题。在放大转发网络中,提出基于部分信道信息和统计信道信息的节点选择算法,这些算法更容易在实际中应用。本文提出的一种基于网络编码的编码协作通信方式,进一步提升了编码协作的性能,可以作为未来协作通信方式的一种有效补充,所提节点选择算法与穷举算法性能相似,但其复杂度大为降低,有很好的实用性。协作频谱感知网络中的权重融合策略能够提高感知性能,基于效用函数的节点选择算法综合考虑了感知性能和感知开销,更符合实际的应用。整体而言,这些研究提高了协作网络的性能,并且具有很好的实用性。
Cooperation technology has played an important role in the rapid evolution of wireless communication. The cooperation among nodes in wireless cooperative communication networks can improve the outage performance, and the cooperation in wireless cooperative spectrum sensing networks can improve the cognitive performance. The node selection is a basic research topic in wireless cooperative networks, and has attracted more and more attention.
First, this thesis introduces the basic model and schemes of wireless cooeprative communication networks. Then it reviews the study of node selection in networks. The work showed that it improved the outage performance through optimal node selection. Moreover, this thesis introduces the basic scheme and node selection in cooperative spectrum sensing networks.
Currently, most of the research on node selection in the cooperative communication networks is based on the instantaneous Channel State Information (CSI). It needs accurate channel estimation and feedback of CSI which is not easy to achieve. In resource-constraint systems, it is more appropriate to get the instantaneous CSI of one hop rather than two hops. Considering both the instantaneous CSI of one hop and the statistic CSI of another hop, we propose two novel relay selection schemes and analyze the outage performance of the two schemes. In order to futher reduce dependence on channel estimation and feedback, this thesis studies how to select the optimal node set to cooperation in Amplify-and-Forward cooperative networks with the knowledge of statistic CSI. An optimal relay selection scheme is proposed with the descend order of equivalent channel gain which is a parameter based on the statistic channel information. The scheme implies that different relay nodes should be selected into cooperation under different SNR range.
Network coding in cooperative communication has attracted more and more attention recently. The thesis brings network coding in the coded cooperation, and proposes a novel network-coding-based coded cooperation scheme. The outage probability of the proposed scheme is analyzed, and the result shows that a full diversity order can be achieved. Numerical evaluations reveal that the proposed scheme outperforms the classical scheme when the inter-user channel is poor, yet is worse when the inter-user channel is strong. To combine the advantages of the proposed scheme and the classical scheme under different inter-user channel conditions, we propose an adaptive solution. This adaptive scheme enhances the system performance considerably in all channel conditions regardless of the inter-user channel quality, at the expense of only one ACK/NACK bit. Then this thesis proposes two node selection schemes in network-coding-based coded cooperative networks with the knowledge of all statistical CSI. Numerical evaluations show that the proposed schemes can obtain the similar outage performance as the exhaust search scheme while reducing the complexity greatly.
Cognitive radio (CR) is an important technology for efficient utilization of precious radio spectrum. Spectrum sensing plays the most important role in CR. This thesis firstly proposes a weighted fusion rule when the SNR of the secondary nodes are not identical. The weighted rule utilizes the differences of SNR. Then it derives the sensing performance of the weighted fusion rule. Numerical results show that the sensing performance of the weighted fusion rule is better than that of conventioanl rule. Considering the minor contribution of the secondary nodes with small weighted factor, a selective cooperative spectrum sensing scheme is proposed where the secondary nodes with SNR less than threshold are not selected into cooperation. The number of the nodes in cooperation is less while the performance doesn't degrade. Considering the resource consuming in the spectrum sensing, this thesis defines the utility fuction which is a tradeoff between the sensing performance and consuming resource. Then it proposes a selection scheme to maxmize the utility which is more practical.
This thesis studies the node selection in wireless cooperative networks. It proposes the node selection alogrithms based on the partial CSI and statistic CSI in AF cooperative networks. The proposed algorithms are pratical. Then a novel network-coding-based coded cooperation scheme is proposed to improve the outage performance. The scheme can be used in the future cooperative communications. We propose two low-complexity node selection algorithms whose performances are similar to the exhaust search algorithm in the network-coding-based coded cooperation networks. The weighted fusion rule in cooperative spectrum sensing networks improves the sensing performance. Moreover, this thesis proposes a node selection scheme based on the utility which is a tradeoff between the sensing performance and resource cost. In all words, the studies on node selection improve the performance and they are more practical.
本文首先介绍了无线协作通信网络的基本模型和基本方法,然后介绍了节点选择问题的研究现状,指出节点选择对协作通信网络性能有很大的提升。最后介绍了无线协作频谱感知网络中频谱感知的基本方法和节点选择的研究现状。
目前放大转发协作通信网络中的节点选择算法大部分是基于瞬时信道信息的节点选择,这需要准确的信道估计和大量的信道反馈,在实际系统中较难实现。基于此,论文首先研究基于部分信道信息的节点选择。在放大转发协作通信中,已知协作通信过程中一个阶段的瞬时信道信息和另一个阶段的统计信道信息的条件下,提出两种节点选择算法,并且分析这两种算法的中断概率性能。随后,为了进一步降低节点选择对信道估计和反馈的依赖,研究在已知两个阶段的统计信道信息的条件下,如何选择最优的中继节点集合进行协作的问题。通过对中继节点定义的等效信道增益参数的排序,以及根据由等效信道增益参数计算的等效信噪比门限,指出在不同的信噪比条件下应选择不同的中继节点集合参与协作。
网络编码在协作通信中的应用引起人们的广泛关注。把网络编码引入到编码协作当中,提出一种新的基于网络编码的编码协作传输方式。分析了在该传输方式下的中断概率。分析指出,当两个协作节点之间的信道条件较差时,网络编码能够提升中断性能；反之,网络编码反而会降低中断性能。基于此,论文提出一种自适应的基于网络编码的编码协作通信传输方式。仿真结果表明,这种自适应传输方式的性能在任何信道条件下,其性能都优于传统的编码协作传输方式和前文提出的基于网络编码的编码协作传输方式。在由多个节点构成的基于网络编码的协作通信网络,并已知信道统计信息的条件下,提出两种节点选择的算法,以获得系统的最优性能。仿真结果表明,提出的算法在和穷举算法相近的中断性能的情况下,能够显著降低复杂度。
认知无线电是解决无线频谱资源稀缺的一个重要手段,而其中最重要的是频谱感知。论文首先提出一种在各个感知节点的信噪比不相等情况下的权重融合准则,该准则充分利用了各个感知节点的信噪比信息,可以获得比传统的不考虑信噪比差异性的感知准则更好的感知性能。依据权重因子的大小,提出一种节点选择策略,当某个感知节点的权重因子小于某一门限时,则该节点不参与协作。进一步考虑了节点在感知过程中的资源消耗,定义了感知网络的效用函数,该效用函数很好的体现了感知性能和感知开销的折中。基于此效用函数提出了一种使得效用最大化的节点选择策略。这种节点选择策略更适合实际系统的应用。
本文研究了无线协作网络中的节点选择问题。在放大转发网络中,提出基于部分信道信息和统计信道信息的节点选择算法,这些算法更容易在实际中应用。本文提出的一种基于网络编码的编码协作通信方式,进一步提升了编码协作的性能,可以作为未来协作通信方式的一种有效补充,所提节点选择算法与穷举算法性能相似,但其复杂度大为降低,有很好的实用性。协作频谱感知网络中的权重融合策略能够提高感知性能,基于效用函数的节点选择算法综合考虑了感知性能和感知开销,更符合实际的应用。整体而言,这些研究提高了协作网络的性能,并且具有很好的实用性。
Cooperation technology has played an important role in the rapid evolution of wireless communication. The cooperation among nodes in wireless cooperative communication networks can improve the outage performance, and the cooperation in wireless cooperative spectrum sensing networks can improve the cognitive performance. The node selection is a basic research topic in wireless cooperative networks, and has attracted more and more attention.
First, this thesis introduces the basic model and schemes of wireless cooeprative communication networks. Then it reviews the study of node selection in networks. The work showed that it improved the outage performance through optimal node selection. Moreover, this thesis introduces the basic scheme and node selection in cooperative spectrum sensing networks.
Currently, most of the research on node selection in the cooperative communication networks is based on the instantaneous Channel State Information (CSI). It needs accurate channel estimation and feedback of CSI which is not easy to achieve. In resource-constraint systems, it is more appropriate to get the instantaneous CSI of one hop rather than two hops. Considering both the instantaneous CSI of one hop and the statistic CSI of another hop, we propose two novel relay selection schemes and analyze the outage performance of the two schemes. In order to futher reduce dependence on channel estimation and feedback, this thesis studies how to select the optimal node set to cooperation in Amplify-and-Forward cooperative networks with the knowledge of statistic CSI. An optimal relay selection scheme is proposed with the descend order of equivalent channel gain which is a parameter based on the statistic channel information. The scheme implies that different relay nodes should be selected into cooperation under different SNR range.
Network coding in cooperative communication has attracted more and more attention recently. The thesis brings network coding in the coded cooperation, and proposes a novel network-coding-based coded cooperation scheme. The outage probability of the proposed scheme is analyzed, and the result shows that a full diversity order can be achieved. Numerical evaluations reveal that the proposed scheme outperforms the classical scheme when the inter-user channel is poor, yet is worse when the inter-user channel is strong. To combine the advantages of the proposed scheme and the classical scheme under different inter-user channel conditions, we propose an adaptive solution. This adaptive scheme enhances the system performance considerably in all channel conditions regardless of the inter-user channel quality, at the expense of only one ACK/NACK bit. Then this thesis proposes two node selection schemes in network-coding-based coded cooperative networks with the knowledge of all statistical CSI. Numerical evaluations show that the proposed schemes can obtain the similar outage performance as the exhaust search scheme while reducing the complexity greatly.
Cognitive radio (CR) is an important technology for efficient utilization of precious radio spectrum. Spectrum sensing plays the most important role in CR. This thesis firstly proposes a weighted fusion rule when the SNR of the secondary nodes are not identical. The weighted rule utilizes the differences of SNR. Then it derives the sensing performance of the weighted fusion rule. Numerical results show that the sensing performance of the weighted fusion rule is better than that of conventioanl rule. Considering the minor contribution of the secondary nodes with small weighted factor, a selective cooperative spectrum sensing scheme is proposed where the secondary nodes with SNR less than threshold are not selected into cooperation. The number of the nodes in cooperation is less while the performance doesn't degrade. Considering the resource consuming in the spectrum sensing, this thesis defines the utility fuction which is a tradeoff between the sensing performance and consuming resource. Then it proposes a selection scheme to maxmize the utility which is more practical.
This thesis studies the node selection in wireless cooperative networks. It proposes the node selection alogrithms based on the partial CSI and statistic CSI in AF cooperative networks. The proposed algorithms are pratical. Then a novel network-coding-based coded cooperation scheme is proposed to improve the outage performance. The scheme can be used in the future cooperative communications. We propose two low-complexity node selection algorithms whose performances are similar to the exhaust search algorithm in the network-coding-based coded cooperation networks. The weighted fusion rule in cooperative spectrum sensing networks improves the sensing performance. Moreover, this thesis proposes a node selection scheme based on the utility which is a tradeoff between the sensing performance and resource cost. In all words, the studies on node selection improve the performance and they are more practical.
引文
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