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Integrated Design of Wireless Information Networks

Integrated Design of Wireless Information Networks
无线信息网络综合设计
批准号:
9979347
负责人:
Demosthenis Teneketzis
金额:
$50.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
1999
资助国家:
美国
项目状态:
已结题
起止时间:
1999-09-15 至 2004-08-31

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中文摘要
翻译
9979347Teneketzis未来无线信息网络(WINS)将提供综合服务(例如,语音、视频、数据、图像和多媒体),每个服务都有自己的带宽和服务质量(Qos)要求。为了应对这一挑战,有必要设计有效地处理带宽管理、移动性、多径衰落、阴影、干扰、链路(信道)质量和网络拓扑的突变、服务质量要求的可变性以及不断增加的用户需求的系统。要有效地处理上述问题,必须联合优化可能跨越多个网络体系结构和协议层的子系统的运行。拟议的研究旨在对WINS进行集成设计,考虑层之间的交互,并利用这些交互来发现有效处理上述问题的算法。我们认为,物理层在WINS的性能中起着至关重要的作用,因为它是网络体系结构中最难控制和最不可预测的层。这就是为什么我们建议:(I)主要了解物理层对数据链路控制、媒体访问控制(MAC)、网络和传输层性能的影响;以及(Ii)利用这种影响来开发WINS集成设计的系统方法。为了实现这一目标,我们建议分别研究单跳和多跳问题,最终,总体设计将以迭代的方式将对单跳问题至关重要的问题与对多跳问题至关重要的问题结合在一起。对于单跳问题,我们将(I)调查物理层组件之间的相互作用,以便改进层的设计;(Ii)利用物理层对数据链路控制层、MAC层和传输层的影响,以开发高效的自动重传请求(ARQ)算法和动态资源分配算法,并开发机制来提高无线链路上的传输控制协议(TCP)的性能。对于多跳问题,我们将(I)利用物理层、数据链路控制层和MAC层对网络层的影响来开发高效的多跳路由、备用路由、功率控制(拓扑控制)、负载均衡和拥塞控制算法;(Ii)利用物理层、数据链路控制层和MAC层对传输层的影响来设计简单、高效和健壮的多跳WINS中的TCP机制;(3)设计和验证简单的通信协议,结合(I)和(Ii)中开发的算法和机制。密歇根大学和普渡大学其他相关研究活动的拟议活动将为未来无线信息网络工程师的培训提供极好的工具。关键词:无线网络、资源分配、接收器体系结构、衰落信道、综合服务、路由和流量控制。*
英文摘要
9979347TeneketzisFuture Wireless Information Networks (WINs) will provide integrated services (e.g., voice, video, data, images, and multimedia) each with its own bandwidth and Quality of Service (QoS) requirements. To meet this challenge, it is necessary to design systems that deal effectively with bandwidth management, mobility, multipath fading, shadowing, interference, abrupt changes in link (channel) quality and network topology, variability in QoS re-quirements, and increasing user demand. Designs that deal effectively with the above issues will have to jointly optimize the operation of subsystems that potentially cut across several network architecture and protocol layers.The proposed research aims at integrated designs of WINs that account for the interactions among layers and takes advantage of these interactions to discover algorithms that deal effectively with the above mentioned issues.We believe that the physical layer plays a crucial role in the performance of WINs because it is the least controllable and predictable layer in the network architecture. This is why we propose to: (i) understand primarily the impact of the physical layer on the performance of the data link control, Media Access Control (MAC), network, and transport layers; and (ii) exploit this impact to develop a systematic approach to the integrated design of WINs. To achieve this goal, we propose to investigate single-hop and multi-hop problems separately, with the understanding that, eventually, an overall design will integrate, in an iterative manner, the issues critical for single-hop problems with those that are critical for multi-hop problems.For single-hop problems, we will (i) investigate the interactions among components of the physical layer so that we can improve the layer's design; (ii) exploit the impact of the physical layer on the data link control, MAC, and transport layers in order to develop efficient Automatic Repeat request (ARQ) algorithms, and dynamic resource allocation algorithms, and to develop mechanisms to improve the performance of Transmission Control Protocol (TCP) over wireless links. For multi-hop problems, we will (i) exploit the impact of the physical, data link control, and MAC layers on the network layer to develop efficient multi-hop routing, alternate routing, power control (topology control), load-balancing, and congestion control algorithms; (ii) take advantage of the impact of the physical, data link control, and MAC layer on the transport layer to design simple, efficient, and robust mechanisms of TCP in multi-hop WINs; (iii) design and validate simple communication protocols incorporating the algorithms and mechanisms developed in (i) and (ii).The proposed activities in connection with other relevant research activities at the University of Michigan and Purdue University will provide an excellent vehicle for the training of future wireless information network engi-neers.Keywords: Wireless networks, resource allocation, receiver architecture, fading channels, integrated services, routing and flow control.***
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CPS: Frontiers: Collaborative Research: Foundations of Resilient CybEr-Physical Systems (FORCES)
CIF: Large: Collaborative Research: Controlled Sensing, and Distributed Signal Processing and Decision Making in Networked Systems
Optimal Scheduling, Routing and Flow Control for Data Networks
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