新型宽带无线接入网中资源管理若干关键技术研究
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摘要
宽带无线接入网具有启动资金少、建设周期短、提供服务快、灵活性强等诸多优势,代表着一种新的不可忽视的发展趋势。无线资源管理是宽带无线接入网面临的关键问题,本文以提高资源利用率、改善用户无线接入的服务质量为目标,对新型宽带无线接入网中资源管理若干关键问题进行了深入研究。
WiMAX WMN是未来最具发展前途的宽带无线接入技术之一。受制于无线介质的广播特性,提高网络吞吐量并提供通信的QoS支持已经成为WiMAX WMN的关键问题。针对WiMAX WMN中最大吞吐量目标,给出了无干扰最优链路调度模型。针对固定顺序的待调度链路集,提出求解最优吞吐量的启发式算法。考虑链路顺序对算法性能的影响,从全局优化的角度对全网链路进行排序,提出基于遗传算法的链路调度优化机制。仿真结果表明本文算法能够在无干扰传输条件下快速收敛于全网链路的最小调度周期,具有更高的传输效率和更低的实施复杂度。
WiMAX WMN对业务传输效率的要求越来越高,寻找同时满足吞吐量与传输效率要求的链路调度机制无疑具有重要意义。为此,给出了链路调度与吞吐量及路径延时的关系模型,设计了基于节点分解的扩展图模型,建立了链路单次传输与多次传输的统一调度框架。为了加快节点分解情况下算法运算速度,提出一种快速链路调度算法。引入多目标优化理论,给出算法性能评价的Pareto标准,提出一种基于NSGA-II的链路调度机制。仿真结果验证了上述算法的有效性。
多射频多信道WMN可以显著提升无线通信系统容量,但传统信道分配算法仅以降低全网干扰度为目标,极易导致网络连通性的缺失。为此,给出了信道分配与网络连通及网络干扰变化的关系模型,通过定义节点、链路及相应的信道评价准则,分别提出面向节点层次和面向链路层次的贪心信道分配算法。进一步,提出一种基于NSGA-II的信道分配算法。通过改进干扰评估模型,还使得本文算法能够应用于部分重叠信道环境中。一系列仿真实验验证了上述算法的有效性。
多媒体业务应用的视频流量即将成为宽带无线网络中的主要流量,针对VBR视频流量时变、非线性及长相关性等特点,提出一种多尺度分解的VBR视频业务特征提取方法。选择具有任意多分辨分解特性的小波包,对其进行空间划分并求解适合视频信号特征提取的最优分解基。基于最优基对视频信号进行快速多尺度分解,建立基于最小二乘支持向量机与最小均方的小波系数预测方法,提出基于小波系数逆变换的视频流量长时预测方法。进一步,提出基于时间预测窗的资源管理机制。一系列仿真实验验证了上述算法的有效性。
宽带卫星接入网是下一代网络的重要组成部分,现有宽带卫星接入网资源申请算法严重滞后于流量变化,不能满足卫星网络长延时链路环境的通信需求。为此,系统分析了宽带卫星接入网MAC协议中的资源分配流程及资源申请时序关系,提出基于记录因子和流量预测相结合的资源申请算法,以减少带宽申请信令的数量,缩短网络资源申请的响应时间。针对基于流量预测的资源申请机制,提出联合剩余时隙分配的按比例带宽分配机制。仿真结果表明,算法能够有效提高资源分配效率,在高负载度、长峰值传输时间条件下,算法均具有良好的适应性。
Broadband wireless access networks have many advantages such as the lower cost, shorter construction period, faster service provision and stronger flexibility, which represent a new trend that can not be ignored. Resource management is one of the key issues in the research on broadband wireless access networks. This dissertation focuses on the efficient resource management and the QoS improvement. An in-depth study on the resource management problem in broadband wireless access network is presented.
WiMAX WMNs (Wireless Mesh Networks) is one of the most promising broadband wireless access technologies in the future. However, Due to the broadcast characteristics of wireless media, maximizing network throughput and providing QoS support for data transmission has become one of the key issues in WiMAX WMNs. Theoretically the interference aware link scheduling model with objective of maximizing the entire network throughput is analyzed. A heuristic algorithm to solve the near optimal scheduling length is proposed for link list with fixed sequence. Furthermore, as the performance is much more affected by the sequence of the link list, the link scheduling scheme is proposed to sort the overall network link list.based on genetic algorithm. Simulation results demonstrate that the proposed scheme can converge to the optimal schedule length more rapidly, thus having a better transfer efficiency and a lower implementation complexity than the existing algorithms.
As the demand of transfer efficiency of multimedia services has become much higher, undoubtedly, searching the link scheduling scheme to satisfy both throughput and transmission efficiency requirement is of great significance. The relationship between link scheduling and throughput as well as the delay of end to end transmission is analyzed. With the design of the expansion graph model by node decomposition, a unified framework to solve the link scheduling algorithm with single transmission and multiple transmissions is designed. The fast link scheduling algorithm is also proposed to speed up computing in the condition of node decomposition. With the introduction of multi-objective optimization theory, performance evaluation based on Pareto rules for scheduling algorithms is given and the NSGA-Ⅱ based link scheduling algorithm is proposed. Simulation results validate the above claims.
Multi-radio multi-channel WMN can significantly enhance the network capacity. However, traditional algorithms merely aim at minimizing the overall network interference, which lead to the reduction of the network connectivity. By analyzing the relationship between channels assignment with the whole interference and connectivity, the corresponding evaluation criteria of node, link and channel selection are defined, and then the node-level oriented and link-level oriented channel assignment schemes based on greedy algorithm are proposed. Furthermore, a link scheduling scheme based on NSGA-II is proposed. Extensive simulation results demonstrate the effectiveness of these approaches.
The multimedia applications will become the main part of the network traffic in the future broadband wireless network. As to the time variation, non-linearity and long range dependence in VBR video traffic trace, a novel method of feature based on multi-scale decomposition is proposed. The wavelet packets which have the trait of arbitrary distinction and decomposition are selected. After space partition of wavelet packets, the best wavelet packet basis for feature extraction is picked out. Based on the best basis, it can do fast arbitrary multi-scale WPT (Wavelet Packet Transform). On the basis of LS-SVM and LMS algorithms, the wavelet coefficients prediction is proposed. The long-term prediction of VBR video traffic is obtained through reverse wavelet transformation on the predicted wavelet coefficients. Furthermore, the resource management scheme on the basis of prediction time window is proposed. Numerical and simulation results are provided to validate the claims.
Broadband satellite access network has become an important component of next generation networks. Traditional resource request mechanisms lag far behind the increasing traffic, and cannot meet the communication needs in satellite link with long transmission delay. In this dissertation, the resource allocation procedure and time sequence of resource requests in MAC protocol for multimedia satellite network are analyzed systematically. A resource request algorithm combined traffic prediction and recording operator is proposed. The algorithm can decrease the number of request signaling messages and shorten the resource response time. Further, a bandwidth allocation combining free slots allocation and fair allocation is proposed. The simulation results show that the algorithm proposed can greatly improve the bandwidth allocation efficiency, and is superior to other existing resource request algorithms in the adaptability under conditions of high load ability and long peak transmission time.
WiMAX WMN是未来最具发展前途的宽带无线接入技术之一。受制于无线介质的广播特性,提高网络吞吐量并提供通信的QoS支持已经成为WiMAX WMN的关键问题。针对WiMAX WMN中最大吞吐量目标,给出了无干扰最优链路调度模型。针对固定顺序的待调度链路集,提出求解最优吞吐量的启发式算法。考虑链路顺序对算法性能的影响,从全局优化的角度对全网链路进行排序,提出基于遗传算法的链路调度优化机制。仿真结果表明本文算法能够在无干扰传输条件下快速收敛于全网链路的最小调度周期,具有更高的传输效率和更低的实施复杂度。
WiMAX WMN对业务传输效率的要求越来越高,寻找同时满足吞吐量与传输效率要求的链路调度机制无疑具有重要意义。为此,给出了链路调度与吞吐量及路径延时的关系模型,设计了基于节点分解的扩展图模型,建立了链路单次传输与多次传输的统一调度框架。为了加快节点分解情况下算法运算速度,提出一种快速链路调度算法。引入多目标优化理论,给出算法性能评价的Pareto标准,提出一种基于NSGA-II的链路调度机制。仿真结果验证了上述算法的有效性。
多射频多信道WMN可以显著提升无线通信系统容量,但传统信道分配算法仅以降低全网干扰度为目标,极易导致网络连通性的缺失。为此,给出了信道分配与网络连通及网络干扰变化的关系模型,通过定义节点、链路及相应的信道评价准则,分别提出面向节点层次和面向链路层次的贪心信道分配算法。进一步,提出一种基于NSGA-II的信道分配算法。通过改进干扰评估模型,还使得本文算法能够应用于部分重叠信道环境中。一系列仿真实验验证了上述算法的有效性。
多媒体业务应用的视频流量即将成为宽带无线网络中的主要流量,针对VBR视频流量时变、非线性及长相关性等特点,提出一种多尺度分解的VBR视频业务特征提取方法。选择具有任意多分辨分解特性的小波包,对其进行空间划分并求解适合视频信号特征提取的最优分解基。基于最优基对视频信号进行快速多尺度分解,建立基于最小二乘支持向量机与最小均方的小波系数预测方法,提出基于小波系数逆变换的视频流量长时预测方法。进一步,提出基于时间预测窗的资源管理机制。一系列仿真实验验证了上述算法的有效性。
宽带卫星接入网是下一代网络的重要组成部分,现有宽带卫星接入网资源申请算法严重滞后于流量变化,不能满足卫星网络长延时链路环境的通信需求。为此,系统分析了宽带卫星接入网MAC协议中的资源分配流程及资源申请时序关系,提出基于记录因子和流量预测相结合的资源申请算法,以减少带宽申请信令的数量,缩短网络资源申请的响应时间。针对基于流量预测的资源申请机制,提出联合剩余时隙分配的按比例带宽分配机制。仿真结果表明,算法能够有效提高资源分配效率,在高负载度、长峰值传输时间条件下,算法均具有良好的适应性。
Broadband wireless access networks have many advantages such as the lower cost, shorter construction period, faster service provision and stronger flexibility, which represent a new trend that can not be ignored. Resource management is one of the key issues in the research on broadband wireless access networks. This dissertation focuses on the efficient resource management and the QoS improvement. An in-depth study on the resource management problem in broadband wireless access network is presented.
WiMAX WMNs (Wireless Mesh Networks) is one of the most promising broadband wireless access technologies in the future. However, Due to the broadcast characteristics of wireless media, maximizing network throughput and providing QoS support for data transmission has become one of the key issues in WiMAX WMNs. Theoretically the interference aware link scheduling model with objective of maximizing the entire network throughput is analyzed. A heuristic algorithm to solve the near optimal scheduling length is proposed for link list with fixed sequence. Furthermore, as the performance is much more affected by the sequence of the link list, the link scheduling scheme is proposed to sort the overall network link list.based on genetic algorithm. Simulation results demonstrate that the proposed scheme can converge to the optimal schedule length more rapidly, thus having a better transfer efficiency and a lower implementation complexity than the existing algorithms.
As the demand of transfer efficiency of multimedia services has become much higher, undoubtedly, searching the link scheduling scheme to satisfy both throughput and transmission efficiency requirement is of great significance. The relationship between link scheduling and throughput as well as the delay of end to end transmission is analyzed. With the design of the expansion graph model by node decomposition, a unified framework to solve the link scheduling algorithm with single transmission and multiple transmissions is designed. The fast link scheduling algorithm is also proposed to speed up computing in the condition of node decomposition. With the introduction of multi-objective optimization theory, performance evaluation based on Pareto rules for scheduling algorithms is given and the NSGA-Ⅱ based link scheduling algorithm is proposed. Simulation results validate the above claims.
Multi-radio multi-channel WMN can significantly enhance the network capacity. However, traditional algorithms merely aim at minimizing the overall network interference, which lead to the reduction of the network connectivity. By analyzing the relationship between channels assignment with the whole interference and connectivity, the corresponding evaluation criteria of node, link and channel selection are defined, and then the node-level oriented and link-level oriented channel assignment schemes based on greedy algorithm are proposed. Furthermore, a link scheduling scheme based on NSGA-II is proposed. Extensive simulation results demonstrate the effectiveness of these approaches.
The multimedia applications will become the main part of the network traffic in the future broadband wireless network. As to the time variation, non-linearity and long range dependence in VBR video traffic trace, a novel method of feature based on multi-scale decomposition is proposed. The wavelet packets which have the trait of arbitrary distinction and decomposition are selected. After space partition of wavelet packets, the best wavelet packet basis for feature extraction is picked out. Based on the best basis, it can do fast arbitrary multi-scale WPT (Wavelet Packet Transform). On the basis of LS-SVM and LMS algorithms, the wavelet coefficients prediction is proposed. The long-term prediction of VBR video traffic is obtained through reverse wavelet transformation on the predicted wavelet coefficients. Furthermore, the resource management scheme on the basis of prediction time window is proposed. Numerical and simulation results are provided to validate the claims.
Broadband satellite access network has become an important component of next generation networks. Traditional resource request mechanisms lag far behind the increasing traffic, and cannot meet the communication needs in satellite link with long transmission delay. In this dissertation, the resource allocation procedure and time sequence of resource requests in MAC protocol for multimedia satellite network are analyzed systematically. A resource request algorithm combined traffic prediction and recording operator is proposed. The algorithm can decrease the number of request signaling messages and shorten the resource response time. Further, a bandwidth allocation combining free slots allocation and fair allocation is proposed. The simulation results show that the algorithm proposed can greatly improve the bandwidth allocation efficiency, and is superior to other existing resource request algorithms in the adaptability under conditions of high load ability and long peak transmission time.
引文
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