认知及协作无线自组织网络中的资源管理策略研究

发布时间：2018-03-04 23:08

本文选题：自组织网络　切入点：认知无线电　出处：《北京邮电大学》2014年博士论文　论文类型：学位论文

【摘要】：随着无线通信技术的快速发展,大量新的无线接入技术及无线数据业务应用不断出现。相应的,对无线频谱的需求急剧增加,导致了可用频谱资源变得越来越拥挤和不足；同时,网络数据传输速率和服务质量,同无线传输的可靠性以及网络连通性的矛盾也日益凸显。基于认知无线电技术的认知无线自组织网络,有效的利用了授权用户使用率较低的频谱资源,提高了频谱的利用效率；而基于中继协作技术的协作无线自组织网络,通过对网络用户发送的信息进行处理和转发,提供了空间分集增益,有效的提高了数据的传输速率和质量。作为未来移动通信系统的末端网络和组成部分,认知及协作无线自组织网络是移动通信发展的重要方向,得到了越来越多的关注。在认知及协作无线自组织网络中,需要解决的重点问题之一是无线资源的管理,如信道容量优化,频谱共享,中继选择与功率分配等。目前,已经有很多研究机构和学者就此相关领域展开研究,并取得了一定的成果。但是,在该领域仍存在许多亟待解决的问题。本论文针对认知无线自组织网络中的分布式功率分配、多跳无线网络中的中继选择与功率分配、以及OFDM协作网络中的中继选择与功率分配问题进行了深入研究,提出了相应的创新性解决方案,并通过理论分析和仿真实验证明了所提出的算法对系统性能的提升。本论文的主要贡献和成果包括三个方面,总结如下： 1)提出了一种认知无线自组织网络中基于进化博弈理论的分布式功率分配机制。在对认知用户的吞吐量和传输策略进行分析后,引入最优反应动态模型对认知用户间分布式的功率分配过程进行建模。进一步的,提出了通过用户根据自身及相邻节点的传输策略,自适应的进行功率调整的分布式算法,在网络总功率和认知用户自身功率限制条件下,优化认知用户的数据传输速率,降低能量消耗。 2)提出了一种协作无线自组织网络中基于分节模式和博弈理论的多跳链路中继选择和功率分配机制。针对多跳中继自组织网络中上游节点选择中继的过程对同一路径上其他节点的中继选择以及链路端到端性能的影响,定义了一种新的协作模式：分节协作模式,分析了该协作模式的信道容量和中断概率性能。研究了分节协作中基于动态博弈委托-代理模型的功率分配方法,以优化自身吞吐量为目标对参与协作的节点进行自适应的功率分配。进一步提出了启发式的分节协作算法来改善多中继协作多跳链路的信道容量和中断概率性能,降低节点的能量消耗。 3)提出了一种协作无线自组织网络中基于节点能量效率的子载波配对,中继选择和能量分配联合优化机制。对基于放大转发模式的OFDM多中继系统中的能量效率问题进行了分析,设计了基于节点的能量效率和剩余能量的协作中继选择标准；提出了基于能量效率的异步功率迭代方法,并证明了该方法中纳什均衡的存在性和收敛性；进一步提出了子载波配对,中继选择和能量分配的联合优化算法,并应用遗传算法对所提算法性能进行优化。该算法能够提高网络节点的能量效率和生存时间。
[Abstract]:With the rapid development of wireless communication technology, a new wireless access technology and wireless data service applications appear continuously. Accordingly, the wireless spectrum leads to a sharp increase in the demand for the available spectrum resources become more and more crowded and inadequate; at the same time, the network data transmission rate and quality of service, with wireless transmission reliability and network connectivity the contradictions have become increasingly prominent. The cognitive radio technology in cognitive wireless ad hoc network based on the effective use of the authorized users can use the lower rate of spectrum resources, improves the spectrum utilization efficiency; and relay cooperative wireless ad hoc network based on processing and forwarding through the network users to send the information provided the space diversity gain, and effectively improve the transmission rate and quality of data. As the future mobile communication system and terminal network components, cognitive As an important direction of the development of mobile communication, more and more attention has been paid to the cooperative wireless self-organizing network.
In the cognitive and cooperative wireless ad hoc networks, one of the key problems of wireless resource management, such as channel capacity optimization, spectrum sharing, relay selection and power allocation. At present, there have been a lot of research institutions and scholars in related fields, and achieved certain results. However, there are still many problem to be solved in this field.
This thesis focuses on the cognitive wireless ad hoc network's distributed power allocation, relay selection and power allocation in multi hop wireless networks, in-depth research and relay selection and power allocation problems in cooperative OFDM network, proposes some innovative solutions, and prove that the proposed algorithm to enhance the performance of the system through theoretical analysis and simulation experiments. The main contributions and achievements of this thesis include three aspects, summarized as follows:
1) proposed a cognitive wireless ad hoc network distributed power allocation mechanism based on evolutionary game theory. Based on the analysis of the cognitive user throughput and transmission strategy, the optimal reaction dynamic model of the cognitive users distributed power allocation process model. Further, put forward by the user according to their own transmission strategy and the adjacent nodes, adjust power distributed algorithm, the total power network and cognitive user's power restriction, data transmission rate optimization of cognitive users, reduce the energy consumption.
2) we propose a cooperative wireless ad hoc network segment model and game theory multi hop link Relay Selection and power allocation mechanism based on multi hop relay node. According to the network from the upstream relay selection process for the same path selection of other nodes and relay link end to end performance, definitions a new cooperation mode: segmented cooperative mode, cooperative mode of the channel capacity and outage probability performance is analyzed. The research section cooperation power allocation method of principal agent model based on dynamic game theory, to optimize the throughput for power allocation of cooperative node adaptively. Further put forward the cooperation section the heuristic algorithm to improve the multi relay cooperative multi hop link channel capacity and outage probability performance, reduce the energy consumption of the nodes.
3) we propose a cooperative wireless ad hoc network node energy efficiency based on subcarrier pairing mechanism, the joint optimization of relay selection and power allocation. The energy efficiency problem of amplify and forward mode of OFDM relay system are analyzed based on the design criteria for selecting cooperative energy efficiency and the residual energy of nodes based on the relay put forward; asynchronous power iteration method based on energy efficiency, and prove the convergence and the existence of Nash equilibrium in the process; further proposed subcarrier pairing algorithm, joint optimization of relay selection and power allocation, and the application of genetic algorithm to optimize the performance of the proposed algorithm. The algorithm can improve the energy efficiency and survival the time of network nodes.

【学位授予单位】：北京邮电大学
【学位级别】：博士
【学位授予年份】：2014
【分类号】：TN929.5

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