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

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 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 languageEnglish
Title of host publication2016 IEEE International Conference on Communications, ICC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479966646
DOIs
Publication statusPublished - 2016 Jul 12
Event2016 IEEE International Conference on Communications, ICC 2016 - Kuala Lumpur, Malaysia
Duration: 2016 May 222016 May 27

Publication series

Name2016 IEEE International Conference on Communications, ICC 2016

Other

Other2016 IEEE International Conference on Communications, ICC 2016
CountryMalaysia
CityKuala Lumpur
Period16/5/2216/5/27

Fingerprint

Cognitive radio
Base stations
Computer simulation
Temperature

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

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 ; Fujii, Takeo. / 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).
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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., 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; Fujii, Takeo.

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 proceedingConference contribution

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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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Lin H, Ishibashi K, Shin W-Y, 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). https://doi.org/10.1109/ICC.2016.7511003