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EARS: Collaborative Research: Crowdsourcing-Based Spectrum Etiquette Enforcement in Dynamic Spectrum Access

EARS: Collaborative Research: Crowdsourcing-Based Spectrum Etiquette Enforcement in Dynamic Spectrum Access
EARS:协作研究:动态频谱访问中基于众包的频谱礼仪执行
批准号:
1619728
负责人:
Ming Li
金额:
$32.93万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2015
资助国家:
美国
项目状态:
已结题
起止时间:
2015-08-01 至 2019-12-31

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中文摘要
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英文摘要
The radio spectrum is becoming an increasingly valuable natural resource nowadays, while it has been shown that much of the spectrum is underutilized in existing licensed bands. To enhance spectrum utilization, dynamic spectrum access (DSA) has been envisioned as a set of promising new spectrum management paradigms, such as spectrum trading/auction and opportunistic spectrum access. While DSA and programmable cognitive radios enable a much higher flexibility of spectrum access, due to the openness of wireless medium, it is also susceptible to various forms of misuse or abuse. For example, unauthorized transmissions without a valid license, or secondary transmissions that intentionally disobey the interference constraints set by the primary users (radios). The misusers will not only gain higher throughput for themselves, but also harm the efficiency of spectrum access operations of normal users (radios). Therefore, enforcing spectrum access rules or etiquettes is crucial to ensuring the ultimate success of the DSA paradigm. This project develops a framework for etiquette and rule enforcing in dynamic spectrum sharing environments. The main idea of the proposed research is to engage community users (radios) to detect misuse, and identify and punish unruly devices. By crowdsourcing the tasks of monitoring neighborhood radio access behaviors to many cognitive radio devices, multiple benefits can be gained: 1) the potentially large number of participating devices can result in much larger detection coverage and accuracy; 2) no pervasive dedicated trusted infrastructure or hardware is needed; and 3) the fact that every device could possibly be a monitoring device leads to a much stronger deterrence to misbehaviors. The interdisciplinary research plan consists of four major components: 1) an optimized crowdsourced passive radio traffic monitoring framework to detect access misbehavior in the vast DSA spectrum; 2) techniques to identify misbehaving cognitive radio devices using physical layer identification, even when the signal waveform can be adaptively modified; 3) techniques for immediate punishment of spectrum misuse through adaptive friendly jamming which exploits multi-functional re-configurable antennas; and 4) incentive mechanism design via auctions to ensure user participation in each task of crowdsourced etiquette enforcement. The success of this project will benefit multiple current and future application domains deploying DSA, especially those that require critical information protection, such as healthcare, transportation, energy, public services, emergency, and military services.
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DOI: 10.1109/tccn.2019.2919731
发表时间: 2019-05
期刊: IEEE Transactions on Cognitive Communications and Networking
影响因子: 8.6
作者: [Ahmed M. Salama;Ming Li;Loukas Lazos;Yong Xiao;M. Krunz]
通讯作者: Ahmed M. Salama;Ming Li;Loukas Lazos;Yong Xiao;M. Krunz
Collaborative Research: NeTS: Small: A Privacy-Aware Human-Centered QoE Assessment Framework for Immersive Videos
  • 批准号:
    2343618
  • 项目类别:
    Standard Grant
  • 资助金额:
    $35.0万
  • 财政年份:
    2024
  • 负责人:
    Ming Li
  • 依托单位:
Conference: Salt contamination of water supplies in tidal rivers
CoPe RCN: Advancing Interdisciplinary Research to Build Resilient Communities and Infrastructure in the Nation's Estuaries and Bays
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