Radio Resource Allocation in LTE-Advanced Cellular Networks with M2M Communications
Kan Zheng, Fanglong Hu, Wei Xiang, Mischa Dohler, Wenbo Wang

TL;DR
This paper reviews M2M communications in LTE-Advanced networks, proposes architectural enhancements, and evaluates radio resource allocation schemes to improve spectral efficiency and support large-scale autonomous device connectivity.
Contribution
It introduces architectural modifications and radio resource allocation strategies specifically designed for efficient M2M support in LTE-Advanced networks.
Findings
Radio resource schemes improve spectral efficiency.
Simulation validates M2M performance in LTE-Advanced.
Enhanced architecture supports large-scale M2M connectivity.
Abstract
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…
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Taxonomy
TopicsWireless Body Area Networks · IoT Networks and Protocols · IoT and Edge/Fog Computing
