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Maximum Achievable Sum Rate in Highly Dynamic Licensed Shared Access

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Maximum Achievable Sum Rate in Highly Dynamic Licensed Shared Access. / Onidare, Samuel; Navaie, Keivan; Ni, Qiang.

2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring). IEEE, 2019.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

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Onidare, Samuel ; Navaie, Keivan ; Ni, Qiang. / Maximum Achievable Sum Rate in Highly Dynamic Licensed Shared Access. 2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring). IEEE, 2019.

Bibtex

@inproceedings{90f3733db47446b08673a338b4547c73,
title = "Maximum Achievable Sum Rate in Highly Dynamic Licensed Shared Access",
abstract = "In this paper, we propose a novel power allocation scheme that maximizes the sum spectral efficiency of the licensee in a dynamic Licensed Shared Access (LSA) system. In particular, our focus is on the time intervals in which the incumbent system is active in the spectrum. We derive an expression for the interference distribution of the licensee, e.g., a mobile network operator, utilizing a spectrum belonging to an airport incumbent under the LSA spectrum sharing. Formulating an optimization problem to maximize the sum spectrum efficiency subject to the interference threshold constraint at the licensee, we then show its convexity, and obtain its optimal solutions. We further investigate the impact of sum rate maximization on the fairness of network resource allocations. Simulation results show a significant gain in the achievable spectrum efficiency, especially during the intervals in which the incumbent system is active in the LSA band. This paper provides quantitative insights on the maximum achievable sum rate in an LSA system in which both the licensee and the incumbent systems are active at the same time.",
author = "Samuel Onidare and Keivan Navaie and Qiang Ni",
year = "2019",
month = "4",
day = "28",
doi = "10.1109/VTCSpring.2019.8746453",
language = "English",
isbn = "9781728112183",
booktitle = "2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring)",
publisher = "IEEE",

}

RIS

TY - GEN

T1 - Maximum Achievable Sum Rate in Highly Dynamic Licensed Shared Access

AU - Onidare, Samuel

AU - Navaie, Keivan

AU - Ni, Qiang

PY - 2019/4/28

Y1 - 2019/4/28

N2 - In this paper, we propose a novel power allocation scheme that maximizes the sum spectral efficiency of the licensee in a dynamic Licensed Shared Access (LSA) system. In particular, our focus is on the time intervals in which the incumbent system is active in the spectrum. We derive an expression for the interference distribution of the licensee, e.g., a mobile network operator, utilizing a spectrum belonging to an airport incumbent under the LSA spectrum sharing. Formulating an optimization problem to maximize the sum spectrum efficiency subject to the interference threshold constraint at the licensee, we then show its convexity, and obtain its optimal solutions. We further investigate the impact of sum rate maximization on the fairness of network resource allocations. Simulation results show a significant gain in the achievable spectrum efficiency, especially during the intervals in which the incumbent system is active in the LSA band. This paper provides quantitative insights on the maximum achievable sum rate in an LSA system in which both the licensee and the incumbent systems are active at the same time.

AB - In this paper, we propose a novel power allocation scheme that maximizes the sum spectral efficiency of the licensee in a dynamic Licensed Shared Access (LSA) system. In particular, our focus is on the time intervals in which the incumbent system is active in the spectrum. We derive an expression for the interference distribution of the licensee, e.g., a mobile network operator, utilizing a spectrum belonging to an airport incumbent under the LSA spectrum sharing. Formulating an optimization problem to maximize the sum spectrum efficiency subject to the interference threshold constraint at the licensee, we then show its convexity, and obtain its optimal solutions. We further investigate the impact of sum rate maximization on the fairness of network resource allocations. Simulation results show a significant gain in the achievable spectrum efficiency, especially during the intervals in which the incumbent system is active in the LSA band. This paper provides quantitative insights on the maximum achievable sum rate in an LSA system in which both the licensee and the incumbent systems are active at the same time.

U2 - 10.1109/VTCSpring.2019.8746453

DO - 10.1109/VTCSpring.2019.8746453

M3 - Conference contribution/Paper

SN - 9781728112183

BT - 2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring)

PB - IEEE

ER -