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NeTS: Small: Toward Reducing Control Overheads in Wireless Networks

NeTS: Small: Toward Reducing Control Overheads in Wireless Networks
NetS:小型:旨在减少无线网络中的控制开销
批准号:
1217048
负责人:
Eytan Modiano
金额:
$45.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2013
资助国家:
美国
项目状态:
已结题
起止时间:
2013-02-01 至 2017-01-31

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中文摘要
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英文摘要
This project develops a theory for understanding the requirements for control overheads in wireless networks and mechanisms for reducing the amount of these overheads. Network control mechanisms, such as scheduling, routing, and flow control, ensure effective data transport in a communication network, but also require the exchange of network state information, such as channel conditions and queue-length information, which amounts to 'control overhead'. The project investigates the tradeoffs between the rate of sending such control information, and the ability to effectively control the network in terms of performance metrics such as throughput, stability, delay and network utility. The project takes a two-pronged approach: First, a rate-distortion framework is being developed for understanding the impact of degraded network state information on network performance. Second, mechanisms are being developed for reducing the amount of control overhead and the impact of these mechanisms on network performance is being investigated. The project develops a fundamental understanding of the requirements for protocol overhead, which will lead to more efficient network control policies, with reduced overheads. Such improvements will have a significant impact on network performance, especially in wireless networks, which experience large overheads due to protocol inefficiencies. The results will be widely disseminated through publication in conferences, journals and the web to help advance the wireless networking field. The broader impacts include training of graduate and undergraduate students and technology transfer to industry and government laboratories.
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RINGS: Enabling Wireless Edge-cloud Services via Autonomous Resource Allocation and Robust Physical Layer Technologies
Collaborative Research: CNS Core: Medium: Inference and Control in Overlay Networks
CNS Core: Small: Wireless Network Control in Uncooperative and Adversarial Environments
CRISP Type 2/Collaborative Research: Understanding the Benefits and Mitigating the Risks of Interdependence in Critical Infrastructure Systems
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