Efficiency of energy detection for spectrum sensing in a Poisson field of interferers

A U Makarfi; K A Hamdi

doi:10.1109/WCNC.2012.6213923

Efficiency of energy detection for spectrum sensing in a Poisson field of interferers

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

Abstract

Spectrum sensing is arguably the most important task expected of a cognitive radio. An effective spectrum sensing algorithm enables the cognitive radio to transmit without causing harmful interference to the licensed user. However, in a multi-user environment, the aggregate interference to the sensing node may adversely affect its sensing performance. In this paper, we investigate the performance of a sensing node in the presence of unlicensed user interference in a non-cooperating secondary network. We model the interference as a Poisson point process in the two dimensional plane and characterize the effect of various factors such as the sensing time and density of interferers on the overall performance of the spectrum sensor. To this end, novel expressions have been developed to calculate the false alarm and detection probabilities of an energy detection sensor in an interference environment. The results obtained were verified using Monte Carlo simulation techniques.

Original language	English
Title of host publication	Wireless Communications and Networking Conference (WCNC), 2012 IEEE
Pages	1023-1028
Number of pages	6
DOIs	https://doi.org/10.1109/WCNC.2012.6213923
Publication status	Published - Apr 2012
Event	2012 IEEE Wireless Communications and Networking Conference, WCNC 2012 - Paris Duration: 1 Jul 2012 → …

Conference

Conference	2012 IEEE Wireless Communications and Networking Conference, WCNC 2012
City	Paris
Period	1/07/12 → …

Keywords

Monte Carlo methods
cognitive radio
probability
radiofrequency interference
stochastic processes
Monte Carlo simulation techniques
Poisson field of interferers
Poisson point process
detection probability
effective spectrum sensing algorithm
energy detection efficiency
energy detection sensor
false alarm probability
interference environment
multiuser environment
noncooperating secondary network
sensing node
spectrum sensor
unlicensed user interference
Aggregates
Analytical models
Error probability
Handheld computers
Interference
Sensors

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10.1109/WCNC.2012.6213923

Cite this

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title = "Efficiency of energy detection for spectrum sensing in a Poisson field of interferers",

abstract = "Spectrum sensing is arguably the most important task expected of a cognitive radio. An effective spectrum sensing algorithm enables the cognitive radio to transmit without causing harmful interference to the licensed user. However, in a multi-user environment, the aggregate interference to the sensing node may adversely affect its sensing performance. In this paper, we investigate the performance of a sensing node in the presence of unlicensed user interference in a non-cooperating secondary network. We model the interference as a Poisson point process in the two dimensional plane and characterize the effect of various factors such as the sensing time and density of interferers on the overall performance of the spectrum sensor. To this end, novel expressions have been developed to calculate the false alarm and detection probabilities of an energy detection sensor in an interference environment. The results obtained were verified using Monte Carlo simulation techniques.",

keywords = "Monte Carlo methods, cognitive radio, probability, radiofrequency interference, stochastic processes, Monte Carlo simulation techniques, Poisson field of interferers, Poisson point process, detection probability, effective spectrum sensing algorithm, energy detection efficiency, energy detection sensor, false alarm probability, interference environment, multiuser environment, noncooperating secondary network, sensing node, spectrum sensor, unlicensed user interference, Aggregates, Analytical models, Error probability, Handheld computers, Interference, Sensors",

author = "Makarfi, {A U} and Hamdi, {K A}",

year = "2012",

month = apr,

doi = "10.1109/WCNC.2012.6213923",

language = "English",

isbn = "9781467304375",

pages = "1023--1028",

booktitle = "Wireless Communications and Networking Conference (WCNC), 2012 IEEE",

note = "2012 IEEE Wireless Communications and Networking Conference, WCNC 2012 ; Conference date: 01-07-2012",

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TY - GEN

T1 - Efficiency of energy detection for spectrum sensing in a Poisson field of interferers

AU - Makarfi, A U

AU - Hamdi, K A

PY - 2012/4

Y1 - 2012/4

N2 - Spectrum sensing is arguably the most important task expected of a cognitive radio. An effective spectrum sensing algorithm enables the cognitive radio to transmit without causing harmful interference to the licensed user. However, in a multi-user environment, the aggregate interference to the sensing node may adversely affect its sensing performance. In this paper, we investigate the performance of a sensing node in the presence of unlicensed user interference in a non-cooperating secondary network. We model the interference as a Poisson point process in the two dimensional plane and characterize the effect of various factors such as the sensing time and density of interferers on the overall performance of the spectrum sensor. To this end, novel expressions have been developed to calculate the false alarm and detection probabilities of an energy detection sensor in an interference environment. The results obtained were verified using Monte Carlo simulation techniques.

AB - Spectrum sensing is arguably the most important task expected of a cognitive radio. An effective spectrum sensing algorithm enables the cognitive radio to transmit without causing harmful interference to the licensed user. However, in a multi-user environment, the aggregate interference to the sensing node may adversely affect its sensing performance. In this paper, we investigate the performance of a sensing node in the presence of unlicensed user interference in a non-cooperating secondary network. We model the interference as a Poisson point process in the two dimensional plane and characterize the effect of various factors such as the sensing time and density of interferers on the overall performance of the spectrum sensor. To this end, novel expressions have been developed to calculate the false alarm and detection probabilities of an energy detection sensor in an interference environment. The results obtained were verified using Monte Carlo simulation techniques.

KW - Monte Carlo methods

KW - cognitive radio

KW - probability

KW - radiofrequency interference

KW - stochastic processes

KW - Monte Carlo simulation techniques

KW - Poisson field of interferers

KW - Poisson point process

KW - detection probability

KW - effective spectrum sensing algorithm

KW - energy detection efficiency

KW - energy detection sensor

KW - false alarm probability

KW - interference environment

KW - multiuser environment

KW - noncooperating secondary network

KW - sensing node

KW - spectrum sensor

KW - unlicensed user interference

KW - Aggregates

KW - Analytical models

KW - Error probability

KW - Handheld computers

KW - Interference

KW - Sensors

U2 - 10.1109/WCNC.2012.6213923

DO - 10.1109/WCNC.2012.6213923

M3 - Conference contribution

SN - 9781467304375

SP - 1023

EP - 1028

BT - Wireless Communications and Networking Conference (WCNC), 2012 IEEE

T2 - 2012 IEEE Wireless Communications and Networking Conference, WCNC 2012

Y2 - 1 July 2012

ER -

Efficiency of energy detection for spectrum sensing in a Poisson field of interferers

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Keywords

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