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

在本提案中，PI将为具有多类呼叫、多通道服务和多级服务质量（QoS）降级的高级无线网络开发新的高效和有效的网络自适应和动态带宽分配策略，称为触发策略。不同的调用对于升级和/或降级可能有不同的优先级。提出的策略的关键思想是在常识上给阻塞的呼叫一些合理的更多的机会，以便从一个相邻小区获得至少最小的带宽需求。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特性。触发策略的重要结果是，一般可以验证无线多媒体网络的均衡分布是单个单元均衡分布的产物形式。PI还计划对所提议的策略的复杂性提供完整的理论分析，并在使用和不使用触发策略的情况下测试一般无线多媒体网络的实际性能。PI将在触发自适应方案下的结果与不使用触发策略的可能结果进行比较，并将为触发策略制作软件包。该建议的另一个想法是根据马尔可夫决策过程找到最优触发策略。智力优势：所提出的触发策略显著改善了几乎所有现有的带宽分配策略，并重要地提供了寻找极其重要的网络性能度量的方法，这是目前文献中无法获得的方法。这些度量，例如，可能包括某类u调用在小区j处只能接收到v级QoS的比例，某类u调用获得比v级更高QoS的概率，降级周期比，降级比，升级/降级频率，系统降级概率，呼叫降级概率等网络重要度量。所提出的理论结果将为分析需求巨大的无线多媒体网络的自适应资源分配策略提供严格的新方法。更广泛的影响：我们的研究成果将在主要期刊和会议上传播，并将纳入课程和研讨会。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。目前正在与加拿大、日本和中国的同事进行合作。这个项目将把各种新颖的技术工具整合到独立的研究、课程和研究研讨会中，这将成为电气工程和计算机科学系许多学生培训的一部分。例如，这个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（University of Toledo），一个新的计算机科学与工程博士项目正处于批准和实施的最后阶段。这个项目的成功将给这个项目带来巨大的推动力。

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.