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 |
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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 |
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Country | 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