Details

Autor(en) / Beteiligte

• Gerasimenko, Mikhail
• Petrov, Vitaly
• Galinina, Olga
• Andreev, Sergey
• Koucheryavy, Yevgeni

Titel

Impact of machine-type communications on energy and delay performance of random access channel in LTE-advanced

Ist Teil von

• Transactions on emerging telecommunications technologies, 2013-06, Vol.24 (4), p.366-377

Ort / Verlag

Blackwell Publishing Ltd

Erscheinungsjahr

2013

Quelle

Access via Wiley Online Library

Beschreibungen/Notizen

• ABSTRACTMachine‐type communications (MTC) are a rapidly growing technology, which is expected to generate significant revenues to mobile network operators. In particular, smart grid is predicted to become one of the key MTC use cases that involves unattended meters autonomously reporting information to a grid infrastructure. With this research, we consider a typical smart metering MTC application scenario in the context of 3GPP LTE‐advanced wireless cellular system featuring a large number of devices connecting to the network near‐simultaneously. The resulting overload of the random access channel requires a novel evaluation methodology based on comprehensive analysis and simulations. In this paper, we target to complement a validated evaluation framework fully compatible with the 3GPP test cases with a thorough analysis of random access channel performance in overloaded MTC scenarios. We also look at the regular MTC operation, when the devices are sending their data after initial network entry has been performed. By including energy consumption into our methodology together with the conventional performance metrics, we aim at providing a complete and unified insight into MTC device operation, including its energy efficiency. Copyright © 2013 John Wiley & Sons, Ltd. Machine‐type communications (MTC) are a rapidly growing technology, which is expected to generate significant revenues to mobile network operators. With this research, we consider a typical smart metering MTC application scenario in the context of 3GPP LTE‐advanced wireless cellular system featuring a large number of devices connecting to the network near‐simultaneously. The resulting overload of the random access channel (RACH) motivates us to propose a novel performance evaluation methodology based on comprehensive analysis and simulations.