Triggered Strategies in Wireless Networks with Multiple Calls, Multiple Channel Services and Multiple-Level QoS Degradations

在这个建议中，PI将开发新的高效和有效的网络自适应和动态带宽分配策略，命名为触发策略，为先进的无线网络与多类呼叫，多信道服务和多层次的服务质量（QoS）降级。不同的呼叫可以具有用于升级和/或降级的不同优先级。所提出的策略的关键思想是给一些合理的更多的机会，阻塞的呼叫在常识中，以获得至少从相邻小区之一的最小带宽要求。这里的核心理论概念是发展随机过程的准可逆性概念，特别是考虑到网络的无线和移动性特征。触发策略的重要结果是，一般的无线多媒体网络的均衡分布可以被验证为单个小区均衡分布的乘积形式。PI还计划提供一个完整的理论分析的复杂性所提出的策略，并测试实际的实际性能的实际利益一般无线多媒体网络使用和不使用触发策略。PI将比较触发自适应方案下的结果与不使用触发策略的可能结果，并将为触发策略制作软件包。另一个想法，这个建议是找到最佳的触发策略方面的马尔可夫Decision Process.Intellectual merit：所提出的触发策略显着改善几乎所有目前现有的带宽分配策略，重要的是产生的方法，找到非常重要的网络的性能指标，这不能得到在文献中的当前方法。这些度量例如可以包括小区j处的类u呼叫在其到来时只能接收等级v QoS的比例、类u呼叫将获得比类v呼叫更高的QoS的概率、降级周期比、降级比、升级/降级频率、系统降级概率、呼叫降级概率和其他网络重要度量。所提出的理论结果将提供严格的新颖的方法，用于分析无线多媒体网络的自适应资源分配策略，这是在很大的demand.Broader影响：我们的研究成果将在领先的期刊和会议上传播，并将被纳入课程和研讨会。通过对学生的培训，以及与美国和国外同事的合作和技术互动，这项工作将导致进一步的技术进步。与加拿大、日本和中国的同事正在进行合作。该项目将导致各种新颖的技术工具纳入独立的研究，课程和研究研讨会，这将是电气工程和计算机科学系许多学生培训的一部分。例如，该项目将直接影响参与该项目的研究生的能力，兴趣和职业。在托莱多大学，一个新的博士学位。在计算机科学与工程计划是在批准和实施的最后阶段。该项目的成功将给该计划带来巨大的推动力。

In this proposal, the PI will develop novel efficient and effective network adaptive and dynamic bandwidth allocation strategies, named as triggered strategies, for the advanced wireless networks with multiple-class calls, multiple-channel services and multiple-level quality of service (QoS) degradations. Different calls may have the different priorities for the upgrade and/or the degradation. The key idea of the proposed strategies is to give some reasonable more chances for the blocked calls in the common sense in order to get at least the minimal bandwidth requirement from one of the neighbor cells. The core theoretic concept here is developing the quasi-reversibility concept of stochastic processes with especially consideration of the wireless and mobility features of the networks. The significant result of the triggered strategies is that the equilibrium distribution of a wireless multimedia network in general can be verified to be a product form of individual cell's equilibrium distribution. The PI also plans to provide a complete theoretical analysis of the complexity for the proposed strategies and to test the actual performance of practical interest for general wireless multimedia networks with and without using of triggered strategies. The PI will compare the results under the triggered adaptive schemes with those possible results without using of the triggered strategies and will make a software package for the triggered strategies. Another idea of this proposal is to find the optimal triggered strategy in terms of the Markov Decision Process.Intellectual merit: The proposed triggered strategies significantly improve almost all current existing bandwidth allocation strategies and importantly produce ways of finding extremely important network's performance measures, which could not be obtained in terms of the current methods in the literature. These measures, for example, may include the proportion of a class u call at cell j can only receive a level v QoS when it comes, the probability that a class u call will gain higher QoS than class v calls, degradation period ratio, degradation ratio, upgrade/degrade frequency, system degradation probability, call degradation probability and other network important measures. The proposed theoretic results will provide rigorously novel approaches for the analysis of adaptive resource allocation strategies for wireless multimedia networks which are in great demand.Broader impacts: Our research results will be disseminated in leading journals and conferences, and will be incorporated into courses and seminars. Via the training of students, and via collaborations and technical interactions with colleagues, both in the US and abroad, the work will lead to yet further technical progress. There are ongoing collaborations with colleagues in Canada, Japan, and China. This project will lead to the incorporation of various novel technical tools into independent studies, courses, and research seminars, which will be part of the training of many students in the department of electrical engineering and computer science. For example, this project will directly impact the capabilities, interests, and careers of the graduate students who participate in the project. At the University of Toledo, a new Ph.D. program in Computer Science and Engineering is in the final stages of approval and implementation. The success of this project would give the program a very strong boost.