Massive Non-Orthogonal Multiple Access for Cellular IoT: Potentials and Limitations

By Mahyar Shirvanimoghaddam, Mischa Dohler, Sarah J. Johnson. IEEE Communications Magazine, 2016

320 citations recorded by the source corpus.

The Internet of Things promises ubiquitous connectivity of everything everywhere, which represents the biggest technology trend in the years to come. It is expected that by 2020 over 25 billion devices will be connected to cellular networks; far beyond the number of devices in current wireless networks. Machine-to-machine communications aims to provide the communication infrastructure for enabling IoT by facilitating the billions of multi-role devices to communicate with each other and with the underlying data transport infrastructure without, or with little, human intervention. Providing this infrastructure will require a dramatic shift from the current protocols mostly designed for human-to-human applications. This article reviews recent 3GPP solutions for enabling massive cellular IoT and investigates the random access strategies for M2M communications, which shows that cellular networks must evolve to handle the new ways in which devices will connect and communicate with the system. A massive non-orthogonal multiple access technique is then presented as a promising solution to support a massive number of IoT devices in cellular networks, where we also identify its practical challenges and future research directions.

Subfields: Biomedical Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/562f574233c07092332939c4e10f914cf4e75d3c

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Citations in the corpus

6G Wireless Systems: Vision, Requirements, Challenges, Insights, and Opportunities (2020, background): “Hence, new structures that allow for better scaling and possibly further reduce latency need to be studied [119].”
Reconfigurable Intelligent Surface Aided NOMA Networks (2019, methodology): “To enhance both the spectral efficiency (SE) and EE of NG networks, non-orthogonal multiple access (NOMA) has been proposed as a promising technique of opportunistically capitalizing on the users’ specific channel state information (CSI) differences [7]–[9].”
Nonorthogonal Multiple Access for 5G and Beyond (2017, background): “(cid:15) Ultra-high Connectivity : The future 5G system is expected to support the connection of billions of smart devices in the IoT [81].”
Grant-Free Non-Orthogonal Multiple Access for IoT: A Survey (2019, methodology): “For instance, in [149], a Raptor code based NOMA for mMTC is proposed with random data packet arrivals.”
Ultra-Reliable Low Latency Cellular Networks: Use Cases, Challenges and Approaches (2017, methodology): “Users do not need to be identified at the base station beforehand, thus eliminating random access delay which is significantly high in medium to high load scenarios [14].”
A Tutorial on Ultrareliable and Low-Latency Communications in 6G: Integrating Domain Knowledge Into Deep Learning (2021, methodology): “To achieve better tradeoffs among delay, reliability, and scalability, other multiple access technologies should be used, such as nonorthogonal multiple access and contention-based multiple access technologies [287], [288].”