Optimal selection of spectrum sensing duration for an energy harvesting cognitive radio

Ahmed El Shafie; Ahmed Sultan

doi:10.1109/GLOCOM.2013.6831208

Optimal selection of spectrum sensing duration for an energy harvesting cognitive radio

Ahmed El Shafie, Ahmed Sultan

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

16 Scopus citations

Abstract

In this paper, we consider a time-slotted cognitive radio (CR) setting with buffered and energy harvesting primary and CR users. At the beginning of each time slot, the CR user probabilistically chooses the spectrum sensing duration from a predefined set. If the primary user (PU) is sensed to be inactive, the CR user accesses the channel immediately. The CR user optimizes the sensing duration probabilities in order to maximize its mean data service rate with constraints on the stability of the primary and cognitive queues. The optimization problem is split into two subproblems. The first is a linear-fractional program, and the other is a linear program. Both subproblems can be solved efficiently. © 2013 IEEE.

Original language	English (US)
Title of host publication	GLOBECOM - IEEE Global Telecommunications Conference
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1020-1025
Number of pages	6
ISBN (Print)	9781479913534
DOIs	https://doi.org/10.1109/GLOCOM.2013.6831208
State	Published - Jan 1 2013
Externally published	Yes

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Generated from Scopus record by KAUST IRTS on 2023-09-22

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10.1109/GLOCOM.2013.6831208

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title = "Optimal selection of spectrum sensing duration for an energy harvesting cognitive radio",

abstract = "In this paper, we consider a time-slotted cognitive radio (CR) setting with buffered and energy harvesting primary and CR users. At the beginning of each time slot, the CR user probabilistically chooses the spectrum sensing duration from a predefined set. If the primary user (PU) is sensed to be inactive, the CR user accesses the channel immediately. The CR user optimizes the sensing duration probabilities in order to maximize its mean data service rate with constraints on the stability of the primary and cognitive queues. The optimization problem is split into two subproblems. The first is a linear-fractional program, and the other is a linear program. Both subproblems can be solved efficiently. {\textcopyright} 2013 IEEE.",

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AU - Sultan, Ahmed

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PY - 2013/1/1

Y1 - 2013/1/1

N2 - In this paper, we consider a time-slotted cognitive radio (CR) setting with buffered and energy harvesting primary and CR users. At the beginning of each time slot, the CR user probabilistically chooses the spectrum sensing duration from a predefined set. If the primary user (PU) is sensed to be inactive, the CR user accesses the channel immediately. The CR user optimizes the sensing duration probabilities in order to maximize its mean data service rate with constraints on the stability of the primary and cognitive queues. The optimization problem is split into two subproblems. The first is a linear-fractional program, and the other is a linear program. Both subproblems can be solved efficiently. © 2013 IEEE.

AB - In this paper, we consider a time-slotted cognitive radio (CR) setting with buffered and energy harvesting primary and CR users. At the beginning of each time slot, the CR user probabilistically chooses the spectrum sensing duration from a predefined set. If the primary user (PU) is sensed to be inactive, the CR user accesses the channel immediately. The CR user optimizes the sensing duration probabilities in order to maximize its mean data service rate with constraints on the stability of the primary and cognitive queues. The optimization problem is split into two subproblems. The first is a linear-fractional program, and the other is a linear program. Both subproblems can be solved efficiently. © 2013 IEEE.

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DO - 10.1109/GLOCOM.2013.6831208

M3 - Conference contribution

SN - 9781479913534

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EP - 1025

BT - GLOBECOM - IEEE Global Telecommunications Conference

PB - Institute of Electrical and Electronics Engineers Inc.

ER -

Optimal selection of spectrum sensing duration for an energy harvesting cognitive radio

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