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NeTS: Small: Periodic schedules for energy-efficient wireless coexistence

NeTS: Small: Periodic schedules for energy-efficient wireless coexistence
NeTS:小型:节能无线共存的定期计划
批准号:
1018154
负责人:
Murat Alanyali
金额:
$34.53万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-07-15 至 2013-06-30

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中文摘要
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英文摘要
This project is motivated by the following challenges that arise due to the growth of services and applications that rely on radio technologies: (i) As spatial density of spectrum usage increases more wireless systems need to coexist on common spectrum bands, (ii) The energy footprint of wireless information technologies grows at a remarkable pace that is exacerbated by the increasing density, and (iii) An increasing fraction of applications require tight delay guarantees that are incompatible with classical random access techniques. The objective of the program is to develop a scalable framework for providing delay guarantees in dense spectrum usage scenarios, while eliminating energy consumption in medium access arbitration. Towards this goal the project studies fundamental properties and implementations of periodic medium access schemes under which conflicting transmissions are separated in time. Inherent properties of periodic spatial systems are studied from both descriptive and prescriptive viewpoints. The scope of the program includes development of decentralized algorithms that are provably robust to propagation delays, hidden nodes, and clock drifts.An energy-efficient framework for wireless access will have favorable impact on the footprint of information technologies due to both operational energy consumption and battery manufacturing. Successfully completed program will also facilitate dense usage of spectrum with predictable service quality, and thereby will lead to better utilization of an important public resource. The project has educational components at the graduate and undergraduate levels, and potential impact in upcoming networking standards.
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NetSE: Medium: Collaborative Research: Promoting Secondary Spectrum Markets via Profitability-Driven Methods and Algorithms
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