Energy Detection Based Estimation of Channel Occupancy Rate with Adaptive Noise Estimation

Janne J. LEHTOMAKI; Risto VUOHTONIEMI; Kenta UMEBAYASHI; Juha-Pekka MAKELA

doi:10.1587/transcom.E95.B.1076

Energy Detection Based Estimation of Channel Occupancy Rate with Adaptive Noise Estimation

Janne J. LEHTOMAKI, Risto VUOHTONIEMI, Kenta UMEBAYASHI, Juha-Pekka MAKELA

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Recently, there has been growing interest in opportunistically utilizing the 2.4 GHz ISM-band. Numerous spectrum occupancy measurements covering the ISM-band have been performed to analyze the spectrum usage. However, in these campaigns the verification of the correctness of the obtained occupancy values for the highly dynamic ISM-band has not been presented. In this paper, we propose and verify channel occupancy rate (COR) estimation utilizing energy detection mechanism with a novel adaptive energy detection threshold setting method. The results are compared with the true reference COR values. Several different types of verification measurements showed that our setup can estimate the COR values of 802.11 traffic well, with negligible overestimation. The results from real-time real-life measurements also confirm that the proposed adaptive threshold setting method enables accurate thresholds even in the situations where multiple interferers are present in the received signal.

Publication: IEICE TRANSACTIONS on Communications Vol.E95-B No.4 pp.1076-1084

Publication Date: 2012/04/01

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Online ISSN: 1745-1345

DOI: 10.1587/transcom.E95.B.1076

Type of Manuscript: Special Section PAPER (Special Section on Cognitive Radio and Heterogeneous Wireless Networks in Conjunction with Main Topics of CrownCom2011)

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Janne J. LEHTOMAKI, Risto VUOHTONIEMI, Kenta UMEBAYASHI, Juha-Pekka MAKELA, "Energy Detection Based Estimation of Channel Occupancy Rate with Adaptive Noise Estimation" in IEICE TRANSACTIONS on Communications, vol. E95-B, no. 4, pp. 1076-1084, April 2012, doi: 10.1587/transcom.E95.B.1076.
Abstract: Recently, there has been growing interest in opportunistically utilizing the 2.4 GHz ISM-band. Numerous spectrum occupancy measurements covering the ISM-band have been performed to analyze the spectrum usage. However, in these campaigns the verification of the correctness of the obtained occupancy values for the highly dynamic ISM-band has not been presented. In this paper, we propose and verify channel occupancy rate (COR) estimation utilizing energy detection mechanism with a novel adaptive energy detection threshold setting method. The results are compared with the true reference COR values. Several different types of verification measurements showed that our setup can estimate the COR values of 802.11 traffic well, with negligible overestimation. The results from real-time real-life measurements also confirm that the proposed adaptive threshold setting method enables accurate thresholds even in the situations where multiple interferers are present in the received signal.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E95.B.1076/_p

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@ARTICLE{e95-b_4_1076,
author={Janne J. LEHTOMAKI, Risto VUOHTONIEMI, Kenta UMEBAYASHI, Juha-Pekka MAKELA, },
journal={IEICE TRANSACTIONS on Communications},
title={Energy Detection Based Estimation of Channel Occupancy Rate with Adaptive Noise Estimation},
year={2012},
volume={E95-B},
number={4},
pages={1076-1084},
abstract={Recently, there has been growing interest in opportunistically utilizing the 2.4 GHz ISM-band. Numerous spectrum occupancy measurements covering the ISM-band have been performed to analyze the spectrum usage. However, in these campaigns the verification of the correctness of the obtained occupancy values for the highly dynamic ISM-band has not been presented. In this paper, we propose and verify channel occupancy rate (COR) estimation utilizing energy detection mechanism with a novel adaptive energy detection threshold setting method. The results are compared with the true reference COR values. Several different types of verification measurements showed that our setup can estimate the COR values of 802.11 traffic well, with negligible overestimation. The results from real-time real-life measurements also confirm that the proposed adaptive threshold setting method enables accurate thresholds even in the situations where multiple interferers are present in the received signal.},
keywords={},
doi={10.1587/transcom.E95.B.1076},
ISSN={1745-1345},
month={April},}

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TY - JOUR
TI - Energy Detection Based Estimation of Channel Occupancy Rate with Adaptive Noise Estimation
T2 - IEICE TRANSACTIONS on Communications
SP - 1076
EP - 1084
AU - Janne J. LEHTOMAKI
AU - Risto VUOHTONIEMI
AU - Kenta UMEBAYASHI
AU - Juha-Pekka MAKELA
PY - 2012
DO - 10.1587/transcom.E95.B.1076
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E95-B
IS - 4
JA - IEICE TRANSACTIONS on Communications
Y1 - April 2012
AB - Recently, there has been growing interest in opportunistically utilizing the 2.4 GHz ISM-band. Numerous spectrum occupancy measurements covering the ISM-band have been performed to analyze the spectrum usage. However, in these campaigns the verification of the correctness of the obtained occupancy values for the highly dynamic ISM-band has not been presented. In this paper, we propose and verify channel occupancy rate (COR) estimation utilizing energy detection mechanism with a novel adaptive energy detection threshold setting method. The results are compared with the true reference COR values. Several different types of verification measurements showed that our setup can estimate the COR values of 802.11 traffic well, with negligible overestimation. The results from real-time real-life measurements also confirm that the proposed adaptive threshold setting method enables accurate thresholds even in the situations where multiple interferers are present in the received signal.
ER -