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 | |
| 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 | United Kingdom |
| City | Glasgow |
| Period | 15/5/11 → 15/5/14 |
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Keywords
- Cognitive radio (CR)
- Poisson point process (PPP)
- Power control (PC)
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Computer Science Applications
- Applied Mathematics
Cite this
Analytical evaluation of coverage probability in two-tier cognitive femto networks. / Panahi, Fereidoun H.; Ohtsuki, Tomoaki.
IEEE Vehicular Technology Conference. Vol. 2015-July Institute of Electrical and Electronics Engineers Inc., 2015. 7145703.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Analytical evaluation of coverage probability in two-tier cognitive femto networks
AU - Panahi, Fereidoun H.
AU - Ohtsuki, Tomoaki
PY - 2015/7/1
Y1 - 2015/7/1
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)
UR - http://www.scopus.com/inward/record.url?scp=84940434807&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84940434807&partnerID=8YFLogxK
U2 - 10.1109/VTCSpring.2015.7145703
DO - 10.1109/VTCSpring.2015.7145703
M3 - Conference contribution
SN - 9781479980888
VL - 2015-July
BT - IEEE Vehicular Technology Conference
PB - Institute of Electrical and Electronics Engineers Inc.
ER -