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Outage performance of the primary service in spectrum sharing networks

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Outage performance of the primary service in spectrum sharing networks. / Khoshkholgh, Mohammad G.; Navaie, Keivan; Yanikomeroglu, Halim.

In: IEEE Transactions on Mobile Computing, Vol. 12, No. 10, 10.2013, p. 1955-1971.

Research output: Contribution to journalJournal article

Harvard

Khoshkholgh, MG, Navaie, K & Yanikomeroglu, H 2013, 'Outage performance of the primary service in spectrum sharing networks', IEEE Transactions on Mobile Computing, vol. 12, no. 10, pp. 1955-1971. https://doi.org/10.1109/TMC.2012.156

APA

Khoshkholgh, M. G., Navaie, K., & Yanikomeroglu, H. (2013). Outage performance of the primary service in spectrum sharing networks. IEEE Transactions on Mobile Computing, 12(10), 1955-1971. https://doi.org/10.1109/TMC.2012.156

Vancouver

Khoshkholgh MG, Navaie K, Yanikomeroglu H. Outage performance of the primary service in spectrum sharing networks. IEEE Transactions on Mobile Computing. 2013 Oct;12(10):1955-1971. https://doi.org/10.1109/TMC.2012.156

Author

Khoshkholgh, Mohammad G. ; Navaie, Keivan ; Yanikomeroglu, Halim. / Outage performance of the primary service in spectrum sharing networks. In: IEEE Transactions on Mobile Computing. 2013 ; Vol. 12, No. 10. pp. 1955-1971.

Bibtex

@article{16e4a80a4da542d4bbc564beeaa0c981,
title = "Outage performance of the primary service in spectrum sharing networks",
abstract = "In this paper, we utilize stochastic geometry to analyze the primary service (PS) outage performance for spectrum sharing in Rayleigh fading environment. Using this approach, the impacts of the secondary service (SS) parameters and wireless environment on the PS outage probability are analyzed. We further obtain a closed form for the PS outage probability. The maximum SS transmitter node density for a given outage probability constraint of the PS is then obtained. We also investigate the impact of secondary spectrum sensing on the PS outage probability. A novel approach is further proposed that provides tight approximation for the PS outage probability. The results of the proposed approach are then validated through analysis and simulations. We then consider power control in the secondary network and show that the truncated channel inversion power control significantly decreases the PS outage probability. Cases with centralized and decentralized cooperative spectrum sensing are also studied, and their corresponding PS outage probabilities are analyzed. Mean spatial throughput of the SS is also analyzed. We further investigate the impact of the PS outage constraint on the spatial throughput of the SS. Extensive simulations confirm our analytical derivations.",
keywords = "Outage probability, spectrum sensing, spectrum sharing, stochastic geometry, AD-HOC NETWORKS, COGNITIVE RADIO, TRANSMISSION-CAPACITY, WIRELESS NETWORKS, SENSOR NETWORKS, INTERFERENCE, SYSTEMS, ACCESS, IMPACT, AGGREGATION",
author = "Khoshkholgh, {Mohammad G.} and Keivan Navaie and Halim Yanikomeroglu",
year = "2013",
month = oct,
doi = "10.1109/TMC.2012.156",
language = "English",
volume = "12",
pages = "1955--1971",
journal = "IEEE Transactions on Mobile Computing",
issn = "1536-1233",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "10",

}

RIS

TY - JOUR

T1 - Outage performance of the primary service in spectrum sharing networks

AU - Khoshkholgh, Mohammad G.

AU - Navaie, Keivan

AU - Yanikomeroglu, Halim

PY - 2013/10

Y1 - 2013/10

N2 - In this paper, we utilize stochastic geometry to analyze the primary service (PS) outage performance for spectrum sharing in Rayleigh fading environment. Using this approach, the impacts of the secondary service (SS) parameters and wireless environment on the PS outage probability are analyzed. We further obtain a closed form for the PS outage probability. The maximum SS transmitter node density for a given outage probability constraint of the PS is then obtained. We also investigate the impact of secondary spectrum sensing on the PS outage probability. A novel approach is further proposed that provides tight approximation for the PS outage probability. The results of the proposed approach are then validated through analysis and simulations. We then consider power control in the secondary network and show that the truncated channel inversion power control significantly decreases the PS outage probability. Cases with centralized and decentralized cooperative spectrum sensing are also studied, and their corresponding PS outage probabilities are analyzed. Mean spatial throughput of the SS is also analyzed. We further investigate the impact of the PS outage constraint on the spatial throughput of the SS. Extensive simulations confirm our analytical derivations.

AB - In this paper, we utilize stochastic geometry to analyze the primary service (PS) outage performance for spectrum sharing in Rayleigh fading environment. Using this approach, the impacts of the secondary service (SS) parameters and wireless environment on the PS outage probability are analyzed. We further obtain a closed form for the PS outage probability. The maximum SS transmitter node density for a given outage probability constraint of the PS is then obtained. We also investigate the impact of secondary spectrum sensing on the PS outage probability. A novel approach is further proposed that provides tight approximation for the PS outage probability. The results of the proposed approach are then validated through analysis and simulations. We then consider power control in the secondary network and show that the truncated channel inversion power control significantly decreases the PS outage probability. Cases with centralized and decentralized cooperative spectrum sensing are also studied, and their corresponding PS outage probabilities are analyzed. Mean spatial throughput of the SS is also analyzed. We further investigate the impact of the PS outage constraint on the spatial throughput of the SS. Extensive simulations confirm our analytical derivations.

KW - Outage probability

KW - spectrum sensing

KW - spectrum sharing

KW - stochastic geometry

KW - AD-HOC NETWORKS

KW - COGNITIVE RADIO

KW - TRANSMISSION-CAPACITY

KW - WIRELESS NETWORKS

KW - SENSOR NETWORKS

KW - INTERFERENCE

KW - SYSTEMS

KW - ACCESS

KW - IMPACT

KW - AGGREGATION

U2 - 10.1109/TMC.2012.156

DO - 10.1109/TMC.2012.156

M3 - Journal article

VL - 12

SP - 1955

EP - 1971

JO - IEEE Transactions on Mobile Computing

JF - IEEE Transactions on Mobile Computing

SN - 1536-1233

IS - 10

ER -