Application-aware dynamic spectrum access

Kumar, Ashwini; Shin, Kang G.

doi:10.1007/s11276-011-0398-8

Cited by 2 publications

(2 citation statements)

References 38 publications

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“…Application-awareness framework for DSA MAC design has been proposed in [22] highlighting the benefits of a crosslayer approach with DSA MAC. Cross-layer with DSA MAC has also been exploited to improve TCP performance in [23].…”

Section: Related Workmentioning

confidence: 99%

On time-domain coexistence of unlicensed and licensed spectrum users

Kumar

Shin

Choi

et al. 2012

2012 IEEE International Symposium on Dynamic Spectrum Access Networks

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Abstract-This paper aims to exploit spectrum white spaces in time-domain via the Dynamic Spectrum Access (DSA) technology. DSA relies on opportunistic access of licensed spectrum by unlicensed devices. Any "unlicensed-with-licensed" coexistence must ensure "safe" (i.e., un-interfered) communications for the incumbents, while achieving high spectrum-use efficiency for the secondary users. We propose a novel and comprehensive metric called the Coexistence Goodness Factor (CGF) to accurately model the inherent tradeoff between incumbent safety and unlicensed access efficiency for time-domain DSA-based coexistence. To optimize the coexistence performance, we propose a generic, online, dual-mode DSA coexistence protocol. The unlicensed devices attempt to estimate incumbent behavior patterns, and enter the Aggressive Mode (AM) once such a pattern is found, while they stay in the Safe Mode (SM) otherwise. For low-overhead and reliable estimation of incumbent spectrum-usage patterns, we propose algorithms based on Approximate Entropy (ApEn). Further, we design Spectrum-Conscious WiFi (SpeCWiFi), which provisions the proposed DSA coexistence scheme to the base 802.11 MAC. We conduct an extensive experimental evaluation of SpeCWiFi using a MadWifi-based prototype implementation in conjunction with 802.11 wireless cards. The evaluation shows that SpeCWiFi achieves excellent time-domain DSA coexistence in the presence of different types of licensed spectrum, including fast-varying channels that feature short-duration white spaces.

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Section: Related Workmentioning

confidence: 99%

On time-domain coexistence of unlicensed and licensed spectrum users

Kumar

Shin

Choi

et al. 2012

2012 IEEE International Symposium on Dynamic Spectrum Access Networks

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“…[8] was about classification Medium Access Controls (MAC) protocols. Reference [9] even took one step ahead to build an architecture that dynamically updates wireless system parameters based on spectrum awareness to serve applications better.…”

Section: Introductionmentioning

confidence: 99%

Radio spectrum awareness using deep learning: Identification of fading channels, signal distortions, medium access control protocols, and cellular systems

Zhou

Alhazmi

et al. 2021

Intell. and Converged Netw.

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Radio spectrum awareness, including understanding radio signal activities, is crucial for improving spectrum utilization, detecting security vulnerabilities, and supporting adaptive transmissions. Related tasks include spectrum sensing, identifying systems and terminals, and understanding various protocol layers. In this paper, we investigate various identification and classification tasks related to fading channel parameters, signal distortions, Medium Access Control (MAC) protocols, radio signal types, and cellular systems. Specifically, we utilize deep learning methods in those identification and classification tasks. Performance evaluations demonstrate the effectiveness of deep learning in those radio spectrum awareness tasks.

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Application-aware dynamic spectrum access

Cited by 2 publications

References 38 publications

On time-domain coexistence of unlicensed and licensed spectrum users

On time-domain coexistence of unlicensed and licensed spectrum users

Radio spectrum awareness using deep learning: Identification of fading channels, signal distortions, medium access control protocols, and cellular systems

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