Abstract
In recent years, stochastic geometry tools have been widely used for the deployment of base stations (BSs) in ultradense multi-tier heterogeneous networks. One of these tools, the independent Poisson point process (PPP), is favored due to its tractability, but in reality, the BSs are not completely independent of each other within tier and across tiers. In this study, a two-tier cellular network model including macro and pico base stations (MBSs and PBSs), is proposed. In this model, MBSs are distributed based on the PPP, while the PBSs are deployed according to the Poisson hole process. Then, the effect of the deployment and the density of BSs on energy efficiency are investigated. The minimum achievable data rate for each layer is formulated and the minimum achievable throughput for the entire cellular network is obtained. Through the optimized BS distribution, it is shown with simulations that energy efficiency can be maximized.
Translated title of the contribution | Energy efficient base station deployment in ultra dense heterogeneous networks via poisson hole process |
---|---|
Original language | Turkish |
Title of host publication | 27th Signal Processing and Communications Applications Conference, SIU 2019 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781728119045 |
DOIs | |
Publication status | Published - Apr 2019 |
Event | 27th Signal Processing and Communications Applications Conference, SIU 2019 - Sivas, Turkey Duration: 24 Apr 2019 → 26 Apr 2019 |
Publication series
Name | 27th Signal Processing and Communications Applications Conference, SIU 2019 |
---|
Conference
Conference | 27th Signal Processing and Communications Applications Conference, SIU 2019 |
---|---|
Country/Territory | Turkey |
City | Sivas |
Period | 24/04/19 → 26/04/19 |
Bibliographical note
Publisher Copyright:© 2019 IEEE.