Optimal detection of spatial opportunity in wireless networks

Seung Min Yu; Seong Lyun Kim

doi:10.1109/LCOMM.2011.020311.102157

Optimal detection of spatial opportunity in wireless networks

Seung Min Yu, Seong Lyun Kim

Department of Electrical and Electronic Engineering

Research output: Contribution to journal › Article › peer-review

9 Citations (Scopus)

Abstract

The scarceness of the radio spectrum leads to opportunistic spectrum access or cognitive radio. In this letter, we analyze the spectrum sensing threshold to improve reliability of opportunity detection in the spatial domain. We minimize the weighted sum of exposed- and hidden node probabilities, and derive the optimal spectrum sensing threshold as a closed form formula. We take the estimation error into account, which is parameterized into the sensing threshold. Our analytic results will provide a fundamental framework for opportunistic spectrum access networks or wireless LANs.

Original language	English
Article number	5714763
Pages (from-to)	395-397
Number of pages	3
Journal	IEEE Communications Letters
Volume	15
Issue number	4
DOIs	https://doi.org/10.1109/LCOMM.2011.020311.102157
Publication status	Published - 2011 Apr

Bibliographical note

Funding Information:
This research was supported by the International Research & Development Program of the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (MEST) of Korea (grant number: K20901001406-09B1300-03110, FY 2010).

All Science Journal Classification (ASJC) codes

Modelling and Simulation
Computer Science Applications
Electrical and Electronic Engineering

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10.1109/LCOMM.2011.020311.102157

Cite this

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title = "Optimal detection of spatial opportunity in wireless networks",

abstract = "The scarceness of the radio spectrum leads to opportunistic spectrum access or cognitive radio. In this letter, we analyze the spectrum sensing threshold to improve reliability of opportunity detection in the spatial domain. We minimize the weighted sum of exposed- and hidden node probabilities, and derive the optimal spectrum sensing threshold as a closed form formula. We take the estimation error into account, which is parameterized into the sensing threshold. Our analytic results will provide a fundamental framework for opportunistic spectrum access networks or wireless LANs.",

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note = "Funding Information: This research was supported by the International Research & Development Program of the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (MEST) of Korea (grant number: K20901001406-09B1300-03110, FY 2010).",

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AB - The scarceness of the radio spectrum leads to opportunistic spectrum access or cognitive radio. In this letter, we analyze the spectrum sensing threshold to improve reliability of opportunity detection in the spatial domain. We minimize the weighted sum of exposed- and hidden node probabilities, and derive the optimal spectrum sensing threshold as a closed form formula. We take the estimation error into account, which is parameterized into the sensing threshold. Our analytic results will provide a fundamental framework for opportunistic spectrum access networks or wireless LANs.

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Optimal detection of spatial opportunity in wireless networks

Abstract

Bibliographical note

All Science Journal Classification (ASJC) codes

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