CAREER: Intelligent Resource Management and Performance Evaluation for Wireless Mobile Networks Supporting Integrated Services

无线通信系统使用户从物理上连接到接入点，而因特网提供了对多种信息服务的普遍访问，因此无线和因特网的结合将是巨大的，使得无处不在的通信成为可能。然而，在无线网络段中，资源（频率、时间和代码）是极其有限的，因此，这种网络的过大规模相当于不良的资本投资，而在忙碌时间的拥塞可能意味着丢失呼叫和损失收入。因此，必须仔细研究无线网络资源的成本效益的规模和管理，以处理用户的需求。 与有线网络的巨大资源相比，无线网段成为集成系统（无线互联网）的瓶颈。因此，无线移动的网络中的智能资源管理成为一个关键问题。 本计画将探讨无线移动的网路的智慧型资源管理与效能评估。本研究的动机是以下观察：（1）许多在网络操作中可用的信息没有被有效地用于资源管理;（2）合作网络运营在有线通信实体之间（诸如信息共享（诸如基站或移动的交换中心）可以显著地提高整体网络性能，在有线段上引起信令业务是一个很好的折衷。例如，如果我们可以基于移动的用户的移动历史来预测他/她的移动，则网络可以围绕移动轨迹进行适当的资源预留以克服潜在的掉话。如果在一组相邻基站之间共享业务信息和移动性信息，则可以避免潜在的拥塞或者可以采取早期动作。如果呼叫连接的业务类型可以传递到较低层（例如，无线电资源层），则可以设计更好的传输方案。因此，在本方案中，研究者将通过完成以下几项任务来研究智能资源管理：_提出一个虚拟管理网络来协调信息交换;_开发使用位置跟踪和位置预测的新的移动性管理方案; _研究各种呼叫接纳控制和智能呼叫处理方案，并为特定应用选择合适的方案提供指导;- -结合移动性预测研究资源预留方案;--为无线移动的网络在各种资源分配方案下的性能评估提供一个通用框架。 所提出的工作和以前的工作在公开文献中的显着区别是，该研究认为，无线网络的呼叫连接需要不同的资源量，并考虑在其分析的移动性因素。这项研究将是重要的未来电信设计，特别是无线互联网。 结合拟议的研究，PI将把无线网络和移动的通信的研究融入教学。基于他在电气工程、计算机科学、系统工程和数学等各个领域的专业知识，PI计划帮助佛罗里达大学电气和计算机工程系建立一个强大的网络计划。他会致力将他的多元化专业知识，特别是数学思维过程，带进课堂，教导学生如何及为何透过联想学习及批判性阅读，结合“新”概念或成果的创造过程，为学生提供当前研究前沿及工业实践的最新发展，并建立一个合作学习的环境。他教学的最终目的是帮助学生培养终身学习的能力。PI还认识到，无线网络和移动的通信领域为电气工程师和计算机科学家之间的合作提供了更好的场所，拟议的研究和教育计划可以将这种合作模式带入课堂。

Wireless communications systems free users from physically attaching to access points, while the Internet provides the universal accessibility to information services of many kinds, thus the marriage of the wireless and the Internet will be tremendous, making ubiquitous communications possible. However, in wireless network segments, resources (frequency, time and code) are extremely limited, thus, overdimensioning of such a network is equivalent to poor capital investment, while congestion at busy hours could mean lost calls and lost revenues. Therefore, the cost-effective dimensioning and management of wireless network resources to handle users' demands have to be carefully investigated. Compared to the vast resources of its wired counterpart, wireless segments become the bottleneck for integrated systems (wireless internet). Thus, intelligent resource management in the wireless mobile networks becomes a critical issue. This proposal will investigate the intelligent resource management and performance evaluation for wireless mobile networks. This research is motivated by the following observations: (1) a lot of information available in network operations has not been effectively used in resource management; (2) co-operative network operations (such as information sharing) among the wired communications entities (such as base stations or mobile switching centers) can significantly improve the overall network performance, incurring signaling traffic over the wired segments is a good tradeoff. For example, if we could predict a mobile user's movement based on his/her movement history, the network could make appropriate resource reservation around the moving trajectory to overcome the potential call drops. If traffic information and mobility information are shared among a group of neighboring base stations, then potential congestion can be avoided or early actions can be taken. If the traffic type of a call connection can be passed to a lower layer (say, radio resource layer), then better transmission schemes can be designed. Thus, in this proposal the researcher will investigate intelligent resource management by accomplishing the following few tasks:_ Propose a Virtual Management Network to coordinate the information exchanges;_ Develop new mobility management schemes using location tracking and location prediction; _ Investigate various call admission control and intelligent call handling schemes and provide guidelines for choosing the appropriate schemes for specific applications;_ Study the resource reservation schemes in combination with mobility prediction;_ Provide a general framework for performance evaluation of wireless mobile networks under various resource allocation schemes. The significant difference between the proposed work and the previous work in the open literature is that the research considers the wireless networks with call connections requiring different amounts of resources, and also considers the mobility factors in its analysis. This research will be important for future telecommunications design, particularly for wireless Internet. In conjunction with the proposed research, the PI will integrate the research on wireless networks and mobile communications into teaching. Based on his expertise's in various areas in electrical engineering, computer science, systems engineering and mathematics, the PI is planning to help build up a strong networking program in the Department of Electrical and Computer Engineering at University of Florida. He will strive to bring his diversified expertise's, particularly the mathematical thinking process, into the classroom, to teach students how and why by going through the creation process of "new" concepts or results in combination with associative learning and critical reading, to provide students with the new developments in the current research fronts and industrial practices and to develop a collaborative learning environment. The ultimate goal of his teaching is to help students to develop a life-long learning ability. The PI also realizes that the area of the wireless networks and mobile communications provides a better place for cooperation between electrical engineers and computer scientists, the proposed research and educational plan could bring this cooperative mode into the classroom.