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On the collaborative cellular cognitive radio networks

Research output: Contribution to conference - Without ISBN/ISSN Poster

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On the collaborative cellular cognitive radio networks. / G C, Deepak; Navaie, Keivan.

2016. 841-842 Poster session presented at Infocom , SanFrancisco, United States.

Research output: Contribution to conference - Without ISBN/ISSN Poster

Harvard

G C, D & Navaie, K 2016, 'On the collaborative cellular cognitive radio networks' Infocom , SanFrancisco, United States, 10/04/16 - 14/04/16, pp. 841-842. https://doi.org/10.1109/INFCOMW.2016.7562193

APA

G C, D., & Navaie, K. (2016). On the collaborative cellular cognitive radio networks. 841-842. Poster session presented at Infocom , SanFrancisco, United States. https://doi.org/10.1109/INFCOMW.2016.7562193

Vancouver

G C D, Navaie K. On the collaborative cellular cognitive radio networks. 2016. Poster session presented at Infocom , SanFrancisco, United States. https://doi.org/10.1109/INFCOMW.2016.7562193

Author

G C, Deepak ; Navaie, Keivan. / On the collaborative cellular cognitive radio networks. Poster session presented at Infocom , SanFrancisco, United States.2 p.

Bibtex

@conference{b7d105b79597490b93ed062b90e32454,
title = "On the collaborative cellular cognitive radio networks",
abstract = "In this article, we evaluate the collaborative sub-channel activity index (SAI) to characterize the primary users activity in cognitive radio network. The optimal transmit power allocation policy is then formulated based on SAI as an optimization problem with the objective of maximizing the total user rate and minimizing the energy consumption at the secondary base station (SBS), subject to various constraints at the primary system. The obtained results enable to achieve a tradeoff between contradicting energy efficiency (EE) and spectral efficiency (SE) objectives as a function of SAI which ultimately provides a quantitative insights on the system design. The simulations show the better tradeoff deal between EE and SE by tuning the sensing constraints.",
author = "{G C}, Deepak and Keivan Navaie",
year = "2016",
month = "4",
day = "10",
doi = "10.1109/INFCOMW.2016.7562193",
language = "English",
pages = "841--842",
note = "Infocom ; Conference date: 10-04-2016 Through 14-04-2016",

}

RIS

TY - CONF

T1 - On the collaborative cellular cognitive radio networks

AU - G C, Deepak

AU - Navaie, Keivan

PY - 2016/4/10

Y1 - 2016/4/10

N2 - In this article, we evaluate the collaborative sub-channel activity index (SAI) to characterize the primary users activity in cognitive radio network. The optimal transmit power allocation policy is then formulated based on SAI as an optimization problem with the objective of maximizing the total user rate and minimizing the energy consumption at the secondary base station (SBS), subject to various constraints at the primary system. The obtained results enable to achieve a tradeoff between contradicting energy efficiency (EE) and spectral efficiency (SE) objectives as a function of SAI which ultimately provides a quantitative insights on the system design. The simulations show the better tradeoff deal between EE and SE by tuning the sensing constraints.

AB - In this article, we evaluate the collaborative sub-channel activity index (SAI) to characterize the primary users activity in cognitive radio network. The optimal transmit power allocation policy is then formulated based on SAI as an optimization problem with the objective of maximizing the total user rate and minimizing the energy consumption at the secondary base station (SBS), subject to various constraints at the primary system. The obtained results enable to achieve a tradeoff between contradicting energy efficiency (EE) and spectral efficiency (SE) objectives as a function of SAI which ultimately provides a quantitative insights on the system design. The simulations show the better tradeoff deal between EE and SE by tuning the sensing constraints.

U2 - 10.1109/INFCOMW.2016.7562193

DO - 10.1109/INFCOMW.2016.7562193

M3 - Poster

SP - 841

EP - 842

ER -