Decentralized power allocation for secondary random access in cognitive radio networks with successive interference cancellation

Huifa Lin; Koji Ishibashi; Won Yong Shin; Takeo Fujii

doi:10.1109/ICC.2016.7511003

Decentralized power allocation for secondary random access in cognitive radio networks with successive interference cancellation

Huifa Lin, Koji Ishibashi, Won Yong Shin, Takeo Fujii

Department of Computational Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 Citations (Scopus)

Abstract

This paper studies a decentralized power allocation for uplink random access of secondary users in cognitive network with successive interference cancellation. First, for the additive white Gaussian noise channel, we propose a novel algorithm, which enables to obtain discrete power levels and optimize the corresponding probabilities, iterating per-level from the lowest power level to the highest one. Under a fading environment, we further propose an opportunistic transmission protocol to reduce the interference temperature at the primary base station, by allocating powers only to the secondary users who will result in small interference. The proposed algorithms are verified via computer simulations.

Original language	English
Title of host publication	2016 IEEE International Conference on Communications, ICC 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781479966646
DOIs	https://doi.org/10.1109/ICC.2016.7511003
Publication status	Published - 2016 Jul 12
Event	2016 IEEE International Conference on Communications, ICC 2016 - Kuala Lumpur, Malaysia Duration: 2016 May 22 → 2016 May 27

Publication series

Name	2016 IEEE International Conference on Communications, ICC 2016

Other

Other	2016 IEEE International Conference on Communications, ICC 2016
Country/Territory	Malaysia
City	Kuala Lumpur
Period	16/5/22 → 16/5/27

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

All Science Journal Classification (ASJC) codes

Computer Networks and Communications

Access to Document

10.1109/ICC.2016.7511003

Cite this

Lin, H., Ishibashi, K., Shin, W. Y., & Fujii, T. (2016). Decentralized power allocation for secondary random access in cognitive radio networks with successive interference cancellation. In 2016 IEEE International Conference on Communications, ICC 2016 [7511003] (2016 IEEE International Conference on Communications, ICC 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICC.2016.7511003

Lin, Huifa ; Ishibashi, Koji ; Shin, Won Yong et al. / Decentralized power allocation for secondary random access in cognitive radio networks with successive interference cancellation. 2016 IEEE International Conference on Communications, ICC 2016. Institute of Electrical and Electronics Engineers Inc., 2016. (2016 IEEE International Conference on Communications, ICC 2016).

@inproceedings{eb9fa3ae2aba4d65bf24d8d71bfaa113,

title = "Decentralized power allocation for secondary random access in cognitive radio networks with successive interference cancellation",

abstract = "This paper studies a decentralized power allocation for uplink random access of secondary users in cognitive network with successive interference cancellation. First, for the additive white Gaussian noise channel, we propose a novel algorithm, which enables to obtain discrete power levels and optimize the corresponding probabilities, iterating per-level from the lowest power level to the highest one. Under a fading environment, we further propose an opportunistic transmission protocol to reduce the interference temperature at the primary base station, by allocating powers only to the secondary users who will result in small interference. The proposed algorithms are verified via computer simulations.",

author = "Huifa Lin and Koji Ishibashi and Shin, {Won Yong} and Takeo Fujii",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE International Conference on Communications, ICC 2016 ; Conference date: 22-05-2016 Through 27-05-2016",

year = "2016",

month = jul,

day = "12",

doi = "10.1109/ICC.2016.7511003",

language = "English",

series = "2016 IEEE International Conference on Communications, ICC 2016",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2016 IEEE International Conference on Communications, ICC 2016",

address = "United States",

}

Lin, H, Ishibashi, K, Shin, WY & Fujii, T 2016, Decentralized power allocation for secondary random access in cognitive radio networks with successive interference cancellation. in 2016 IEEE International Conference on Communications, ICC 2016., 7511003, 2016 IEEE International Conference on Communications, ICC 2016, Institute of Electrical and Electronics Engineers Inc., 2016 IEEE International Conference on Communications, ICC 2016, Kuala Lumpur, Malaysia, 16/5/22. https://doi.org/10.1109/ICC.2016.7511003

Decentralized power allocation for secondary random access in cognitive radio networks with successive interference cancellation. / Lin, Huifa; Ishibashi, Koji; Shin, Won Yong et al.

2016 IEEE International Conference on Communications, ICC 2016. Institute of Electrical and Electronics Engineers Inc., 2016. 7511003 (2016 IEEE International Conference on Communications, ICC 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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T1 - Decentralized power allocation for secondary random access in cognitive radio networks with successive interference cancellation

AU - Lin, Huifa

AU - Ishibashi, Koji

AU - Shin, Won Yong

AU - Fujii, Takeo

PY - 2016/7/12

Y1 - 2016/7/12

N2 - This paper studies a decentralized power allocation for uplink random access of secondary users in cognitive network with successive interference cancellation. First, for the additive white Gaussian noise channel, we propose a novel algorithm, which enables to obtain discrete power levels and optimize the corresponding probabilities, iterating per-level from the lowest power level to the highest one. Under a fading environment, we further propose an opportunistic transmission protocol to reduce the interference temperature at the primary base station, by allocating powers only to the secondary users who will result in small interference. The proposed algorithms are verified via computer simulations.

AB - This paper studies a decentralized power allocation for uplink random access of secondary users in cognitive network with successive interference cancellation. First, for the additive white Gaussian noise channel, we propose a novel algorithm, which enables to obtain discrete power levels and optimize the corresponding probabilities, iterating per-level from the lowest power level to the highest one. Under a fading environment, we further propose an opportunistic transmission protocol to reduce the interference temperature at the primary base station, by allocating powers only to the secondary users who will result in small interference. The proposed algorithms are verified via computer simulations.

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M3 - Conference contribution

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T3 - 2016 IEEE International Conference on Communications, ICC 2016

BT - 2016 IEEE International Conference on Communications, ICC 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2016 IEEE International Conference on Communications, ICC 2016

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ER -

Lin H, Ishibashi K, Shin WY, Fujii T. Decentralized power allocation for secondary random access in cognitive radio networks with successive interference cancellation. In 2016 IEEE International Conference on Communications, ICC 2016. Institute of Electrical and Electronics Engineers Inc. 2016. 7511003. (2016 IEEE International Conference on Communications, ICC 2016). doi: 10.1109/ICC.2016.7511003

Decentralized power allocation for secondary random access in cognitive radio networks with successive interference cancellation

Abstract

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