分层异构网络无线资源管理关键技术研究

发布时间:2018-08-11 11:52
【摘要】:通信网络技术与无线业务的发展日新月异,共同推动无线接入技术和移动终端技术的演进。在无线接入异构化、移动终端多模化的驱动下,未来无线通信系统的重要发展趋势将是异构、融合与协同,它将集成和管理多种异构无线接入网络,为多模终端提供泛在的异构无线接入环境,充分满足用户在不同应用场景下日益增长的业务需求。因此,无线资源管理是实现异构无线融合网络有序组织和高效利用的关键技术。在分层异构网络中,无线资源管理需要从整体上综合考虑网络中各种无线资源的分配和使用;利用重配置技术,通过业务测量,进行不同接入网络间的业务分流,对异构网络中具有不同特性的接入网络进行联合接入控制和资源调度;在满足业务需求的基础上,提高资源调度分配的效率,实现对异构网络资源优化利用。为了有效解决上述问题,本学位论文紧紧围绕分层异构融合网络下无线资源管理主题开展工作,侧重研究异构网络融合系统中的呼损概率模型及其高效算法、呼叫接纳控制、多业务类型的优化资源分配以及垂直切换等无线资源管理算法,并对异构网络融合系统容量进行分析,以期达到有效提高异构网络融合环境中无线通信系统的性能,保证用户的服务质量,充分利用异构网络资源的目的。针对分层异构网络环境中,由低层网络向高层宏蜂窝网络溢出的业务流的到达具有“突发性”,不适用于传统的泊松模型的分析方法,以及现有的修正马尔科夫泊松过程近似方法具有较高的计算复杂度,不适合用来分析大规模复杂网络等难题,本文提出了一种分层异构网络中的多业务呼损概率的高效数值算法,推导出多类型溢出业务流的统计矩;利用等效单位带宽方式将带宽资源分配给每个业务流或呼叫连接,并进一步根据上述推导结果,建立一个多类型业务流呼损模型,求得系统中多类型业务流的呼叫阻塞概率的数值解。通过比较本文算法与基于多维修正马尔科夫泊松过程的近似算法在两层蜂窝网络场景下的仿真结果,验证了本文算法的高性能和准确性。针对分层异构网络中的呼叫接纳控制算法如何控制新的业务请求被何种无线接入网接纳,并评估其对已有业务连接产生的影响,以避免网络拥塞和保证业务服务质量的问题,本文提出一种基于概率机制的呼叫接纳控制算法,能够根据无线局域网的当前网络负载情况和用户终端的移动速度等信息,对来自蜂窝网的向下垂直切换呼叫的请求进行区分和判决,减少不必要的垂直切换处理负荷。本文还对新呼叫阻塞概率和向下垂直切换呼叫阻塞概率进行理论分析和推导。仿真结果表明,该算法能够减少不必要的频繁垂直切换,并且限制向下垂直切换呼叫的呼叫阻塞概率在一个可接受的水平;同时保证较高的平均系统带宽利用率,提高了系统性能。针对未来的宽带无线网络中的不同类型业务对时延的敏感以及带宽的需求呈现多样性和动态性,无线资源分配机制需要同时考虑业务获取无线资源的公平性的问题,本文主要研究具有正交频分复用接入的异构网络中的无线资源分配机制,力图在用户数据传输速率比例性的公平约束条件下,获取最大的系统传输速率并满足不同业务的服务质量需求。为了解决这些问题,我们将系统模型中的业务分为两类:时延约束型业务和尽力而为型业务;并进一步将无线资源管理问题转化为一个线性规划问题。我们利用高效迭代算法,将具有指数级复杂度的混合整型规划问题转换成一个凸问题,求出其优化解;或者在其对偶域进行求解。为了评估本文算法的性能,仿真结果给出了时延约束型业务的数据传输速率和尽力而为型业务的公平性指数。与传统的无线资源管理机制相比,它们得到较大的改进。此外,本文所提出的优化资源分配算法能够获得更高更稳定的系统吞吐量。针对分层异构网络中,多业务无线资源管理如何有效的协同利用各种无线资源来满足业务所需要的服务质量并最小化业务成本的问题,本文提出了一种基于蜂窝网络和无线局域网的异构网络的通用无线资源管理算法。算法的关键参数包括业务类型,用户终端移动性和位置信息等,协同的利用异构网络中的资源,并同时能保证业务的服务质量和业务成本的最小化。通过马尔科夫模型分析了算法的有效性。仿真结果表明,在不同的移动性和网络负荷条件下,本文算法能够明显降低不必要的垂直切换到达率,提供稳定的通信,并有效的提高了系统吞吐量,适用于实际的异构网络环境。
[Abstract]:With the rapid development of communication network technology and wireless services, the evolution of wireless access technology and mobile terminal technology is promoted together. Driven by heterogeneous wireless access and multi-mode mobile terminals, the important development trend of future wireless communication systems will be heterogeneous, convergent and cooperative, which will integrate and manage a variety of heterogeneous wireless access networks. Network provides a ubiquitous heterogeneous wireless access environment for multimodal terminals to meet the growing business needs of users in different scenarios. Therefore, wireless resource management is the key technology to achieve orderly organization and efficient utilization of heterogeneous wireless convergence networks. Considering the allocation and use of various wireless resources in the network, we use reconfiguration technology to distribute the services between different access networks through service measurement, and carry out joint access control and resource scheduling for access networks with different characteristics in heterogeneous networks. In order to solve these problems effectively, this dissertation focuses on the research of call loss probability model and its efficient algorithm, call admission control, optimal resource allocation of multi-service types, and so on. In order to improve the performance of wireless communication system in heterogeneous network convergence environment, guarantee the quality of service of users, and make full use of heterogeneous network resources, the capacity of heterogeneous network convergence system is analyzed. The arrival of spilled traffic in cellular networks is "unexpected" and is not suitable for traditional Poisson model analysis methods. The existing modified Markov Poisson process approximation methods have high computational complexity and are not suitable for large-scale complex networks. In this paper, we propose a multi-layer heterogeneous network. The statistical moments of multi-type overflow traffic are deduced by efficient numerical algorithm of traffic call loss probability; bandwidth resources are allocated to each traffic flow or call connection by means of equivalent unit bandwidth. Based on the above deduction results, a call loss model of multi-type traffic flow is established, and call blocking of multi-type traffic flow in the system is obtained. By comparing the simulation results of the proposed algorithm and the approximate algorithm based on multi-maintenance positive Markov Poisson process in two-layer cellular network scenarios, the high performance and accuracy of the proposed algorithm are verified. In order to avoid network congestion and guarantee service quality, a call admission control algorithm based on probabilistic mechanism is proposed, which can be applied to cellular networks according to current network load and mobile speed of user terminals. This paper also analyzes and deduces the new call blocking probability and the downward vertical handoff call blocking probability. Simulation results show that this algorithm can reduce unnecessary frequent vertical handoff and limit downward vertical handoff. The call blocking probability is at an acceptable level, and the system performance is improved by ensuring a high average system bandwidth utilization. In view of the delay sensitivity of different types of services in future broadband wireless networks and the diversity and dynamics of bandwidth requirements, the wireless resource allocation mechanism needs to consider both services. To obtain the fairness of wireless resources, this paper mainly studies the allocation mechanism of wireless resources in heterogeneous networks with orthogonal frequency division multiplexing (OFDM) access, trying to obtain the maximum system transmission rate and satisfy the quality of service requirements of different services under the fairness constraint of user data transmission rate ratio. In this paper, we divide the traffic in the system model into two types: delay-constrained traffic and best-effort traffic, and further transform the radio resource management problem into a linear programming problem. In order to evaluate the performance of the proposed algorithm, the simulation results give the data transmission rate of delay-constrained traffic and the fairness index of the best-effort traffic. To achieve higher and more stable system throughput in hierarchical heterogeneous networks, this paper proposes a generic heterogeneous network based on cellular networks and wireless local area networks (WLAN) to solve the problem of how multi-service wireless resource management can effectively coordinate the use of various wireless resources to meet the service quality and minimize the service cost. The key parameters of the algorithm include service type, user terminal mobility and location information. The algorithm can utilize resources in heterogeneous networks cooperatively and guarantee the service quality and minimize the service cost. The effectiveness of the algorithm is analyzed by Markov model. Simulation results show that the algorithm is effective in different shifts. Under the dynamic and network load conditions, the proposed algorithm can significantly reduce the unnecessary vertical handover arrival rate, provide stable communication, and effectively improve the system throughput, suitable for the actual heterogeneous network environment.
【学位授予单位】:南京邮电大学
【学位级别】:博士
【学位授予年份】:2016
【分类号】:TN92

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