Impact of M2M Traffic in Random Access Channel over LTE Networks
Nowadays, humanity is surrounded by many technological devices that are connected to the Internet (sensors, smart meters, etc.). These devices can transmit and receive data automatically via interfaces for wireless transmission of data, thus generating Ma
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Abstract Nowadays, humanity is surrounded by many technological devices that are connected to the Internet (sensors, smart meters, etc.). These devices can transmit and receive data automatically via interfaces for wireless transmission of data, thus generating Machine-to-Machine (M2M) traffic. This massive connectivity provides attractive new services, usually transmitting fragments of small data. This is especially true for Long-Term Evolution (LTE), which was originally optimized for users Human-to-Human (H2H). The main problem caused by the introduction of M2M applications is the congestion that occurs at the access network because of the tremendous number of devices that attempt to simultaneously access the network. This article provides M2M communication methods based on the 3GPP standard. In this paper we consider concurrent access to radio resources in a M2M/H2H coexistence scenario based on a dynamic random access algorithm for LTE network. This work studies the impact of M2M terminals massively and simultaneously attempting to have a random access to LTE. First, we emphasize the problem of resources sharing by MTC devices. Then we assess the impact of the introduction of M2M services on the performance of applications H2H according to throughput metric. Keywords M2M
MTC H2H RACH Internet of Things LTE
M. Ouaissa (&) M. Benmoussa ISIC, High School of Technology, LMMI Laboratory, ENSAM, Moulay-Ismail University, Meknes, Morocco e-mail: [email protected] M. Benmoussa e-mail: [email protected] A. Rhattoy M. Lahmer I. Chana Department of Computer Engineering, High School of Technology, Moulay-Ismail University, Meknes, Morocco e-mail: [email protected] M. Lahmer e-mail: [email protected] I. Chana e-mail: [email protected] © Springer Nature Singapore Pte Ltd. 2018 A. Kalam et al. (eds.), Advances in Electronics, Communication and Computing, Lecture Notes in Electrical Engineering 443, https://doi.org/10.1007/978-981-10-4765-7_2
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1 Introduction Machine-to-Machine (M2M) is a trending concept that allows a huge number of machines to communicate independently via a network without human intervention. M2M allows the emergence of new services from different application areas such as transport, health, monitoring, and improving the human life. M2M was normalized in cellular networks Long-Term Evolution Advanced (LTE-A) by Machine-Type Communication (MTC) [1], their massive connectivity and ability to offer new interactive services, also raised significant challenges for managing a large number of devices, usually transmitting small fragments of data through wide range of emerging applications for the current cellular technology such as 3rd Generation Partnership Project (3GPP) LTE, which has been improved for the Human to Human (H2H) traffic. The community of 3GPP has been interested by various topics of study related to M2M communication. LTE is the latest evolution of mobile telephony standards defined by the 3GPP. The network includes two part
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