Simulating dense small cell networks

P. Alvarez; C. Galiotto; J. van de Belt; D. Finn; H. Ahmadi; L. DaSilva

doi:10.1109/WCNC.2016.7565167

Simulating dense small cell networks

P. Alvarez, C. Galiotto, J. van de Belt, D. Finn, H. Ahmadi, L. DaSilva

Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Through massive deployment of additional small cell infrastructure, Dense Small cell Networks (DSNs) are expected to help meet the foreseen increase in traffic demand on cellular networks. Performance assessment of architectural and protocol solutions tailored to DSNs will require system and network level simulators that can appropriately model the complex interference environment found in those networks. This paper identifies the main features of DSN simulators, and guides the reader in the selection of an appropriate simulator for their desired investigations. We extend our discussion with a comparison of representative DSN simulators.

Original language	English
Title of host publication	2016 IEEE Wireless Communications and Networking Conference
Number of pages	7
DOIs	https://doi.org/10.1109/WCNC.2016.7565167
Publication status	Published - 1 Apr 2016

Keywords

cellular radio
dense small cell networks
DSN
cellular networks
complex interference environment
Interference
Base stations
Protocols
Signal to noise ratio
Microprocessors
Computer architecture
Documentation

Access to Document

10.1109/WCNC.2016.7565167

Cite this

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title = "Simulating dense small cell networks",

abstract = "Through massive deployment of additional small cell infrastructure, Dense Small cell Networks (DSNs) are expected to help meet the foreseen increase in traffic demand on cellular networks. Performance assessment of architectural and protocol solutions tailored to DSNs will require system and network level simulators that can appropriately model the complex interference environment found in those networks. This paper identifies the main features of DSN simulators, and guides the reader in the selection of an appropriate simulator for their desired investigations. We extend our discussion with a comparison of representative DSN simulators.",

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AU - Galiotto, C.

AU - Belt, J. van de

AU - Finn, D.

AU - Ahmadi, H.

AU - DaSilva, L.

PY - 2016/4/1

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N2 - Through massive deployment of additional small cell infrastructure, Dense Small cell Networks (DSNs) are expected to help meet the foreseen increase in traffic demand on cellular networks. Performance assessment of architectural and protocol solutions tailored to DSNs will require system and network level simulators that can appropriately model the complex interference environment found in those networks. This paper identifies the main features of DSN simulators, and guides the reader in the selection of an appropriate simulator for their desired investigations. We extend our discussion with a comparison of representative DSN simulators.

AB - Through massive deployment of additional small cell infrastructure, Dense Small cell Networks (DSNs) are expected to help meet the foreseen increase in traffic demand on cellular networks. Performance assessment of architectural and protocol solutions tailored to DSNs will require system and network level simulators that can appropriately model the complex interference environment found in those networks. This paper identifies the main features of DSN simulators, and guides the reader in the selection of an appropriate simulator for their desired investigations. We extend our discussion with a comparison of representative DSN simulators.

KW - cellular radio

KW - dense small cell networks

KW - DSN

KW - cellular networks

KW - complex interference environment

KW - Interference

KW - Base stations

KW - Protocols

KW - Signal to noise ratio

KW - Microprocessors

KW - Computer architecture

KW - Documentation

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DO - 10.1109/WCNC.2016.7565167

M3 - Conference contribution

BT - 2016 IEEE Wireless Communications and Networking Conference

ER -