Radio resource allocation in LTE-advanced cellular networks with M2M communications

By Kan Zheng, Fanglong Hu, Wenbo Wang, W. Xiang, Mischa Dohler. IEEE Communications Magazine, 2012

354 citations recorded by the source corpus.

Machine-to-machine (M2M) communications are expected to provide ubiquitous connectivity between machines without the need of human intervention. To support such a large number of autonomous devices, the M2M system architecture needs to be extremely power and spectrally efficient. This article thus briefly reviews the features of M2M services in the third generation (3G) long-term evolution and its advancement (LTE-Advanced) networks. Architectural enhancements are then presented for supporting M2M services in LTE-Advanced cellular networks. To increase spectral efficiency, the same spectrum is expected to be utilized for human-to- human (H2H) communications as well as M2M communications. We therefore present various radio resource allocation schemes and quantify their utility in LTE-Advanced cellular networks. System-level simulation results are provided to validate the performance effectiveness of M2M communications in LTE-Advanced cellular networks.

Subfields: Biomedical Engineering, Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/56ef36e22dd20f5d1cb21c52599f52228e7202ee

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Citations in the corpus

Is the Random Access Channel of LTE and LTE-A Suitable for M2M Communications? A Survey of Alternatives (2014, background): “Indeed, different studies have been launched over the last recent years to understand how cellular systems need to evolve to be able to provide efficient access to M2M networks [8], [9].”
Grant-Free Non-Orthogonal Multiple Access for IoT: A Survey (2019, background): “European telecommunications standards institute, and developments by 3GPP on mMTC [6], [7], [225], three basic mMTC scenarios have been identified as follows: • Direct access: A MTCD can access the BS without any intermediate device.”
Random access for machine-to-machine communication in LTE-advanced networks: issues and approaches (2013, background): “However, the MTCG-to-M2M and M2M-to-M2M links can be based on either LTE- A or other wireless standards (e.g., 3G, lowpower WiFi, and IEEE 802.15.x [3]).”
M2M Communications in 3GPP LTE/LTE-A Networks: Architectures, Service Requirements, Challenges, and Applications (2015, methodology): “Two major methods can be considered for radio resource allocation between M2M and H2H communications [79].”
Toward Massive Machine Type Communications in Ultra-Dense Cellular IoT Networks: Current Issues and Machine Learning-Assisted Solutions (2018, background): “[56].”
Machine-type communications: current status and future perspectives toward 5G systems (2015, background): “The MTCGs exchange data between the cellular and capillary networks [8].”
A Survey on Internet of Things: Architecture, Enabling Technologies, Security and Privacy, and Applications (2017, background): “Existing resource sharing mechanisms primarily focus on the spectrum sharing, which is used to efﬁciently coordinate multiple networks in the same frequency to maximize the utilization of network resources [77], [126], [164].”