Capacity Limitation of Small Cell Densification
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A4 Artikkeli konferenssijulkaisussa
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Date
2022
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Language
en
Pages
5
210-214
210-214
Series
36th International Conference on Information Networking, ICOIN 2022, International Conference on Information Networking, Volume 2022-January
Abstract
Deployment of small cells is considered as an easy approach for adding capacity to the system. However, it is important to realize that in a non-noise limited system, each additional cell increases the interference in the system. The target of this paper is to show the capacity limitation of the cellular network with an increasing number of small cells in a network. Ultra-dense deployment of small cells implies a high probability of line of sight (LOS) transmission between the transmitter (TX) and receiver (RX). The LOS transmission helps in enhancing the received signal strength, whereas, on the other hand, the interference power significantly grows with small cell densification. This paper presents the analytical analysis of bad cell border area for one-, and two-dimensional grid of small cells. The lamp post solution for the small cell deployment along the street is studied through simulations. The acquired results show that the overall interference in the system and the bad signal to interference plus noise ratio (SINR) cell border area grows with cell densification. System capacity saturates and then starts to collapse as the capacity loss due to the additional cell interference becomes dominant over the gain of cell densification after the saturation point.Description
Funding Information: ACKNOWLEDGEMENT This work was supported in part by Academy of Finland under the project ULTRA (No. 328215), and it is also in part supported by Aalto University and Tampere University. Publisher Copyright: © 2022 IEEE.
Keywords
capacity, cell border area, cell densification, Small cell, ultra dense network
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Citation
Sheikh, M U, Lempiainen, J & Jantti, R 2022, Capacity Limitation of Small Cell Densification . in 36th International Conference on Information Networking, ICOIN 2022 . International Conference on Information Networking, vol. 2022-January, IEEE, pp. 210-214, International Conference on Information Networking, Virtual, Jeju Island, Korea, Republic of, 12/01/2022 . https://doi.org/10.1109/ICOIN53446.2022.9687159