CIF: Medium: Collaborative Research: Cooperative Routing in Wireless Ad-Hoc Networks with Advanced PHY Layers: Interference Management, Resource Allocation, and Information Mixing
CIF:中:协作研究:具有高级 PHY 层的无线 Ad-Hoc 网络中的协作路由:干扰管理、资源分配和信息混合
基本信息
- 批准号:0963834
- 负责人:
- 金额:$ 30.85万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing Grant
- 财政年份:2010
- 资助国家:美国
- 起止时间:2010-09-01 至 2017-02-28
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Wireless ad-hoc networks consist solely of cheap, mobile nodes that operate in the absence of expensive fixed infrastructure such as base stations. In order to save energy, increase data rate, or improve robustness, some nodes may act as helper nodes, relaying some or all of the information. In the simplest form of relaying, data packets are forwarded node-by-node in a manner akin to a fire bucket brigade. In more advanced methods, such as those considered in this research, several nodes can cooperate to forward information. The key design questions are two-fold. First is the design of cooperative communication techniques, i.e., physical-layer approaches for relaying information from one set of nodes to the next. Second is routing, i.e., identifying which of the available nodes should participate in the transmission and what system resources (time, energy, bandwidth) should be allocated to each. This research analyzes interconnections between these two key questions, treated separately in most prior work. We consider the routing problem when rateless codes are employed at the physical layer. Such codes allow receiving nodes to accumulate mutual information (instead of just energy) from multiple transmitting nodes. This yields greater network robustness and efficiency. The research investigates the effect of interference, which automatically arises when multiple messages are being transmitted simultaneously. By using stochastic network optimization, optimum resource allocation can be provided without the need for centralized knowledge of all states of nodes and propagation channels. Cooperative transmission techniques based on a hybrid of network-coding and compute-and-forward, their rateless variants, and application to cooperative routing are investigated as well. The concepts are validated through experiments.
无线自组织网络仅由廉价的移动节点组成,这些节点在没有昂贵的固定基础设施(如基站)的情况下运行。为了节省能量、提高数据速率或提高鲁棒性,一些节点可能充当辅助节点,中继部分或全部信息。在最简单的中继形式中,数据包以类似于消防队的方式一个节点一个节点地转发。在更高级的方法中,例如本研究中考虑的方法,几个节点可以合作转发信息。关键的设计问题有两个方面。首先是协作通信技术的设计,即物理层方法将信息从一组节点传递到下一组节点。其次是路由,即确定哪些可用节点应该参与传输,以及应该为每个节点分配哪些系统资源(时间、能量、带宽)。本研究分析了这两个关键问题之间的相互联系,在大多数先前的工作中分别处理。考虑了物理层采用无速率码时的路由问题。这种编码允许接收节点从多个发送节点积累相互信息(而不仅仅是能量)。这将产生更高的网络健壮性和效率。本研究探讨了当多个讯息同时传送时,自动产生的干扰效应。通过随机网络优化,可以在不需要集中了解节点和传播通道的所有状态的情况下,提供最优的资源分配。研究了基于网络编码和计算转发混合的协同传输技术及其无速率变体,以及在协同路由中的应用。通过实验验证了这些概念。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Robert Nowak其他文献
Lock-free de Bruijn graph
无锁 de Bruijn 图
- DOI:
10.48550/arxiv.2401.02756 - 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Daniel G'orniak;Robert Nowak - 通讯作者:
Robert Nowak
NIH consensus conference. Adjuvant therapy for patients with colon and rectal cancer.
NIH 共识会议。
- DOI:
- 发表时间:
1990 - 期刊:
- 影响因子:0
- 作者:
Jeongyeol Kwon;Liu Yang;Robert Nowak;Josiah P. Hanna - 通讯作者:
Josiah P. Hanna
On Regret with Multiple Best Arms
多臂后悔
- DOI:
- 发表时间:
2020 - 期刊:
- 影响因子:0
- 作者:
Yinglun Zhu;Robert Nowak - 通讯作者:
Robert Nowak
Future Prediction Can be a Strong Evidence of Good History Representation in Partially Observable Environments
未来预测可以成为部分可观测环境中良好历史表征的有力证据
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Jeongyeol Kwon;Liu Yang;Robert Nowak;Josiah P. Hanna - 通讯作者:
Josiah P. Hanna
Looped Transformers are Better at Learning Learning Algorithms
循环变压器更擅长学习学习算法
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Liu Yang;Kangwook Lee;Robert Nowak;Dimitris Papailiopoulos - 通讯作者:
Dimitris Papailiopoulos
Robert Nowak的其他文献
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{{ truncateString('Robert Nowak', 18)}}的其他基金
Collaborative Research: New Perspectives on Deep Learning: Bridging Approximation, Statistical, and Algorithmic Theories
合作研究:深度学习的新视角:桥接近似、统计和算法理论
- 批准号:
2134140 - 财政年份:2021
- 资助金额:
$ 30.85万 - 项目类别:
Standard Grant
CIF: Small: Bridging the Inequality Gap
CIF:小:缩小不平等差距
- 批准号:
1907786 - 财政年份:2019
- 资助金额:
$ 30.85万 - 项目类别:
Standard Grant
Collaborative Research: Physics-Based Machine Learning for Sub-Seasonal Climate Forecasting
合作研究:基于物理的机器学习用于次季节气候预测
- 批准号:
1934612 - 财政年份:2019
- 资助金额:
$ 30.85万 - 项目类别:
Continuing Grant
EAGER: Developing a Theory for Function Optimization on Graphs Using Local Information
EAGER:开发使用局部信息的图函数优化理论
- 批准号:
1841190 - 财政年份:2018
- 资助金额:
$ 30.85万 - 项目类别:
Standard Grant
BIGDATA: F: DKA: CSD: Human and Machine Co-Processing
BIGDATA:F:DKA:CSD:人机协同处理
- 批准号:
1447449 - 财政年份:2014
- 资助金额:
$ 30.85万 - 项目类别:
Standard Grant
CIF: Small: Sparsity and Scarcity in High-Dimensional Point Processes
CIF:小:高维点过程中的稀疏性和稀缺性
- 批准号:
1418976 - 财政年份:2013
- 资助金额:
$ 30.85万 - 项目类别:
Standard Grant
CIF: Small: Adaptive Information: Sequential Sensing and Active Learning Theory, Methods and Applications
CIF:小型:自适应信息:顺序感知和主动学习理论、方法和应用
- 批准号:
1218189 - 财政年份:2012
- 资助金额:
$ 30.85万 - 项目类别:
Standard Grant
CIF: Small: Decoding Error-Correcting Codes using Large-Scale Decomposition Methods
CIF:小型:使用大规模分解方法解码纠错码
- 批准号:
1217058 - 财政年份:2012
- 资助金额:
$ 30.85万 - 项目类别:
Standard Grant
EAGER: Building Arid-land International Collaborations between US and China: Ecology of Invasive Plants
EAGER:中美之间建立旱地国际合作:入侵植物生态学
- 批准号:
1047575 - 财政年份:2010
- 资助金额:
$ 30.85万 - 项目类别:
Standard Grant
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