SpecEES: Collaborative Research: Energy Efficient Dynamic Spectrum Access in Uncoordinated Networks

SpecEES:协作研究:不协调网络中的节能动态频谱接入

基本信息

项目摘要

With its focus on energy efficient dynamic spectrum access where the users are treated as equals and there is minimal coordination across the users, this project addresses challenges for enabling next-generation wireless communications and networking in a dynamic spectrum environment. The results from the project should greatly enhance access to broadband wireless services in traditionally under-serviced communities. The spectrum-sensing and spectrum-sharing techniques developed should prove to be equally applicable in a slew of applications involving energy-constrained ad hoc networks such as those encountered in disaster relief operations and in a variety of applications relevant to national security. The involvement of undergraduate students in this project, especially in software radio experiment, is expected to foster their long-term interest in Science, Technology, Engineering and Math (STEM)-related fields.This research project is focused on both spectral efficiency and energy efficiency for a class of dynamic spectrum access applications that have been much less well studied: an uncoordinated wide-band system where the users are treated as equals, i.e., there is no primary/secondary distinction. The project will develop the spectrum management framework as well as enabling technologies for such applications, ranging from multi-channel spectrum sensing using quickest change detection to novel spectrum access schemes for spectral/energy efficient and fair spectrum usage in the absence of user coordination. Experimental studies are an integral part of the proposed research, and the project leverages existing software radio capabilities developed at Syracuse University. This study of spectrum access with equally privileged users without coordination also fills an important gap in dynamic spectrum access. Given the generality of the models considered, this research can be expected to make fundamental contributions to the theories of quickest change detection and random access.
该项目专注于节能的动态频谱接入,用户被平等对待,用户之间的协调最少,解决了在动态频谱环境中实现下一代无线通信和网络的挑战。该项目的成果将大大提高传统上服务不足的社区获得宽带无线服务的机会。所开发的频谱传感和频谱共享技术应被证明同样适用于涉及能源受限的特别网络的一系列应用,例如救灾行动中遇到的网络以及与国家安全有关的各种应用。本项目旨在培养大学生对科学、技术、工程和数学(STEM)相关领域的长期兴趣,特别是软件无线电实验。本研究项目的重点是一类动态频谱接入应用的频谱效率和能源效率,这类应用研究得很少:用户被平等对待的非协调宽带系统,即没有主要/次要区别。该项目将为此类应用开发频谱管理框架和使能技术,从使用最快变化检测的多通道频谱传感,到在没有用户协调的情况下实现频谱/能源效率和公平频谱使用的新型频谱接入方案。实验研究是拟议研究的一个组成部分,该项目利用了雪城大学开发的现有软件无线电功能。对同等特权用户无协调频谱接入的研究也填补了动态频谱接入的一个重要空白。鉴于所考虑的模型的通用性,本研究有望对最快变化检测和随机存取理论做出根本性的贡献。

项目成果

期刊论文数量(5)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Degrees of Freedom in Wireless Interference Networks With Cooperative Transmission and Backhaul Load Constraints
  • DOI:
    10.1109/tit.2019.2914462
  • 发表时间:
    2019-09-01
  • 期刊:
  • 影响因子:
    2.5
  • 作者:
    Bande, Meghana;El Gamal, Aly;Veeravalli, Venugopal V.
  • 通讯作者:
    Veeravalli, Venugopal V.
Adversarial Multi-user Bandits for Uncoordinated Spectrum Access
用于不协调频谱访问的对抗性多用户强盗
  • DOI:
    10.1109/icassp.2019.8682263
  • 发表时间:
    2019
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Bande, Meghana;Veeravalli, Venugopal V.
  • 通讯作者:
    Veeravalli, Venugopal V.
Multi-User MABs with User Dependent Rewards for Uncoordinated Spectrum Access
针对不协调的频谱访问提供与用户相关的奖励的多用户 MAB
  • DOI:
    10.1109/ieeeconf44664.2019.9048964
  • 发表时间:
    2019
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Magesh, Akshayaa;Veeravalli, Venugopal V.
  • 通讯作者:
    Veeravalli, Venugopal V.
Design of a Heterogeneous Cellular Network With a Wireless Backhaul
具有无线回程的异构蜂窝网络的设计
Multi-User Multi-Armed Bandits for Uncoordinated Spectrum Access
用于不协调频谱访问的多用户多武装强盗
  • DOI:
    10.1109/iccnc.2019.8685615
  • 发表时间:
    2019
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Bande, Meghana;Veeravalli, Venugopal V.
  • 通讯作者:
    Veeravalli, Venugopal V.
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Venugopal Veeravalli其他文献

Venugopal Veeravalli的其他文献

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{{ truncateString('Venugopal Veeravalli', 18)}}的其他基金

Collaborative Research: CIF: Medium: Emerging Directions in Robust Learning and Inference
协作研究:CIF:媒介:稳健学习和推理的新兴方向
  • 批准号:
    2106727
  • 财政年份:
    2021
  • 资助金额:
    $ 27.5万
  • 项目类别:
    Continuing Grant
Efficient Strategies for Pandemic Monitoring and Recovery
流行病监测和恢复的有效策略
  • 批准号:
    2033900
  • 财政年份:
    2020
  • 资助金额:
    $ 27.5万
  • 项目类别:
    Standard Grant
CIF: Small: Collaborative Research: Network Event Detection with Multistream Observations
CIF:小型:协作研究:通过多流观察进行网络事件检测
  • 批准号:
    1618658
  • 财政年份:
    2016
  • 资助金额:
    $ 27.5万
  • 项目类别:
    Standard Grant
CIF: Medium: Collaborative Research: Quickest Change Detection Techniques with Signal Processing Applications
CIF:媒介:协作研究:信号处理应用的最快变化检测技术
  • 批准号:
    1514245
  • 财政年份:
    2015
  • 资助金额:
    $ 27.5万
  • 项目类别:
    Continuing Grant
WiFiUS: Message and CSI Sharing for Cellular Interference Management with Backhaul Constraints
WiFiUS:用于具有回程约束的蜂窝干扰管理的消息和 CSI 共享
  • 批准号:
    1457168
  • 财政年份:
    2015
  • 资助金额:
    $ 27.5万
  • 项目类别:
    Standard Grant
IF: Student Travel Support for the 2014 IEEE International Symposium on Information Theory
IF:2014 年 IEEE 国际信息论研讨会学生旅行支持
  • 批准号:
    1434211
  • 财政年份:
    2014
  • 资助金额:
    $ 27.5万
  • 项目类别:
    Standard Grant
Collaborative Research: ATD: Advanced Quickest Multidecision Change Detection-Classification Methods for Threat Assessment in Distributed Sensing Systems
合作研究:ATD:分布式传感系统中威胁评估的先进最快多决策变化检测分类方法
  • 批准号:
    1222498
  • 财政年份:
    2012
  • 资助金额:
    $ 27.5万
  • 项目类别:
    Continuing Grant
CIF: Large: Collaborative Research: Controlled Sensing, and Distributed Signal Processing and Decision Making in Networked Systems
CIF:大型:协作研究:网络系统中的受控传感、分布式信号处理和决策
  • 批准号:
    1111342
  • 财政年份:
    2011
  • 资助金额:
    $ 27.5万
  • 项目类别:
    Standard Grant
CIF:Medium:Collaborative Research: Understanding and Managing Interference in Communication Networks
CIF:中:协作研究:理解和管理通信网络中的干扰
  • 批准号:
    0904619
  • 财政年份:
    2009
  • 资助金额:
    $ 27.5万
  • 项目类别:
    Standard Grant
Collaborative Research: Optimal Changepoint Detection and Identification Algorithms with Applications
协作研究:最优变点检测和识别算法及其应用
  • 批准号:
    0830169
  • 财政年份:
    2008
  • 资助金额:
    $ 27.5万
  • 项目类别:
    Standard Grant

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Collaborative Research: SpecEES: Designing A Spectrally Efficient and Energy Efficient Data Aided Demand Driven Elastic Architecture for future Networks (SpiderNET)
合作研究:SpecEES:为未来网络设计频谱效率高、能源效率高的数据辅助需求驱动弹性架构 (SpiderNET)
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Collaborative Research: SpecEES: Towards Energy and Spectrally Efficient Millimeter Wave MIMO Platforms - A Unified System, Circuits, and Machine Learning Framework
合作研究:SpecEES:迈向能源和频谱高效的毫米波 MIMO 平台 - 统一的系统、电路和机器学习框架
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SpecEES: Collaborative Research: DroTerNet: Coexistence between Drone and Terrestrial Wireless Networks
SpecEES:协作研究:DroTerNet:无人机与地面无线网络的共存
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Collaborative Research: SpecEES: Towards Energy and Spectrally Efficient Millimeter Wave MIMO Platforms - A Unified System, Circuits, and Machine Learning Framework
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