TY - GEN
T1 - Analytical evaluation of coverage probability in two-tier cognitive femto networks
AU - Panahi, Fereidoun H.
AU - Ohtsuki, Tomoaki
N1 - Publisher Copyright:
© 2015 IEEE.
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
AN - SCOPUS:84940434807
T3 - IEEE Vehicular Technology Conference
BT - 2015 IEEE 81st Vehicular Technology Conference, VTC Spring 2015 - Proceedings
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 -