Analytical evaluation of coverage probability in two-tier cognitive femto networks

Fereidoun H. Panahi; Tomoaki Ohtsuki

doi:10.1109/VTCSpring.2015.7145703

Analytical evaluation of coverage probability in two-tier cognitive femto networks

Fereidoun H. Panahi, Tomoaki Ohtsuki

Department of Information and Computer Science

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

Abstract

In this paper, we present a cognitive radio (CR) based statistical framework for a two-tier (femto- macro) heterogeneous cellular network. In this framework, the coverage probability of an arbitrary femto user is determined. Using tools from stochastic geometry and point process theory (in this paper, the spatial Poisson point process (PPP) theory is used) we model the random locations and topology of both the femto and macro networks. A considerable improvement of system performance can be generally achieved by mitigating interference, as a result of applying the CR idea over the above model. We also study the implication of a Reinforcement Learning (RL) based power control (PC) strategy per femto user in interference-limited networks over the above model to guarantee a certain value of coverage probability for a given signal-to-interference- plus-noise-ratio (SINR) target

Original language	English
Title of host publication	IEEE Vehicular Technology Conference
Publisher	Institute of Electrical and Electronics Engineers Inc.
Volume	2015-July
ISBN (Print)	9781479980888
DOIs	https://doi.org/10.1109/VTCSpring.2015.7145703
Publication status	Published - 2015 Jul 1
Event	81st IEEE Vehicular Technology Conference, VTC Spring 2015 - Glasgow, United Kingdom Duration: 2015 May 11 → 2015 May 14

Other

Other	81st IEEE Vehicular Technology Conference, VTC Spring 2015
Country/Territory	United Kingdom
City	Glasgow
Period	15/5/11 → 15/5/14

Keywords

Cognitive radio (CR)
Poisson point process (PPP)
Power control (PC)

ASJC Scopus subject areas

Electrical and Electronic Engineering
Computer Science Applications
Applied Mathematics

Access to Document

10.1109/VTCSpring.2015.7145703

Cite this

Panahi, FH & Ohtsuki, T 2015, Analytical evaluation of coverage probability in two-tier cognitive femto networks. in IEEE Vehicular Technology Conference. vol. 2015-July, 7145703, Institute of Electrical and Electronics Engineers Inc., 81st IEEE Vehicular Technology Conference, VTC Spring 2015, Glasgow, United Kingdom, 15/5/11. https://doi.org/10.1109/VTCSpring.2015.7145703

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author = "Panahi, {Fereidoun H.} and Tomoaki Ohtsuki",

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N2 - In this paper, we present a cognitive radio (CR) based statistical framework for a two-tier (femto- macro) heterogeneous cellular network. In this framework, the coverage probability of an arbitrary femto user is determined. Using tools from stochastic geometry and point process theory (in this paper, the spatial Poisson point process (PPP) theory is used) we model the random locations and topology of both the femto and macro networks. A considerable improvement of system performance can be generally achieved by mitigating interference, as a result of applying the CR idea over the above model. We also study the implication of a Reinforcement Learning (RL) based power control (PC) strategy per femto user in interference-limited networks over the above model to guarantee a certain value of coverage probability for a given signal-to-interference- plus-noise-ratio (SINR) target

AB - In this paper, we present a cognitive radio (CR) based statistical framework for a two-tier (femto- macro) heterogeneous cellular network. In this framework, the coverage probability of an arbitrary femto user is determined. Using tools from stochastic geometry and point process theory (in this paper, the spatial Poisson point process (PPP) theory is used) we model the random locations and topology of both the femto and macro networks. A considerable improvement of system performance can be generally achieved by mitigating interference, as a result of applying the CR idea over the above model. We also study the implication of a Reinforcement Learning (RL) based power control (PC) strategy per femto user in interference-limited networks over the above model to guarantee a certain value of coverage probability for a given signal-to-interference- plus-noise-ratio (SINR) target

KW - Cognitive radio (CR)

KW - Poisson point process (PPP)

KW - Power control (PC)

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VL - 2015-July

BT - IEEE Vehicular Technology Conference

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 81st IEEE Vehicular Technology Conference, VTC Spring 2015

Y2 - 11 May 2015 through 14 May 2015

ER -

Analytical evaluation of coverage probability in two-tier cognitive femto networks

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Keywords

ASJC Scopus subject areas

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