Massive machine-type communications in 5g: physical and MAC-layer solutions

By C. Bockelmann, N. Pratas, Hosein Nikopour, K. Au, T. Svensson, Č. Stefanović, Petar Popovski, A. Dekorsy. IEEE Communications Magazine, 2016

685 citations recorded by the source corpus.

MTC are expected to play an essential role within future 5G systems. In the FP7 project METIS, MTC has been further classified into mMTC and uMTC. While mMTC is about wireless connectivity to tens of billions of machinetype terminals, uMTC is about availability, low latency, and high reliability. The main challenge in mMTC is scalable and efficient connectivity for a massive number of devices sending very short packets, which is not done adequately in cellular systems designed for human-type communications. Furthermore, mMTC solutions need to enable wide area coverage and deep indoor penetration while having low cost and being energy-efficient. In this article, we introduce the PHY and MAC layer solutions developed within METIS to address this challenge.

Subfields: Biomedical Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/ccbd02b5346ef37c6b6440f880c97bd654ec201b

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Citations in the corpus

5G Wireless Network Slicing for eMBB, URLLC, and mMTC: A Communication-Theoretic View (2018, methodology): “e ones. SIC at the BS is a useful strategy to improve the performance of mMTC trafﬁc. As discussed next, a SIC decoder can leverage power imbalances and other mechanisms not reviewed here (see, e.g., [17]), in order to sequentially improve the reliability of simultaneous mMTC transmissions. To chara”
Massive Connectivity With Massive MIMO—Part I: Device Activity Detection and Channel Estimation (2017, background): “and MTC traffic is that the device activity patterns are typically sporadic so that at any given time only a small fraction of potential devices are active [1], [2].”
Massive Access for 5G and Beyond (2020, background): “Although 5G NB-IoT employs multiple new techniques to improve the system performance and has been commercially adopted in multiple applications, it cannot fully achieve the goal of massive access [27].”
User-Centric Cell-Free Massive MIMO Networks: A Survey of Opportunities, Challenges and Solutions (2021, background): “Thus, a synchronization process needs to be employed at regular intervals [49].”
Toward Massive Machine Type Communications in Ultra-Dense Cellular IoT Networks: Current Issues and Machine Learning-Assisted Solutions (2018, methodology): “Sub-topics References Enabling technologies/protocols, challenges and applications [1,2,6,11,14,28–32] Random access schemes [22,33–35] IoT/mMTC Trafﬁc characterization and issues [36] Transmission scheduling [37,38] IoT big data analytics [19,39,40] QoS provisioning [41] Intelligence in 5G…”
A Survey on Low Latency Towards 5G: RAN, Core Network and Caching Solutions (2017, methodology): “…estimator is used to decode the GFDM block at the receiver end, which yields signiﬁcant SM-MIMO detection with ZF and MRC-ZF [67] Linear MMSE receiver Symbol detection [68] Space-time encoding and widely linear estimator [69]–[71] Compressed sensing [72] Low complexity receiver in SCMA system”
A Comprehensive Survey on Internet of Things (IoT) Toward 5G Wireless Systems (2020, background): “These technologies will enable machine-to-machine (M2M), device-to-device (D2D), and device-to-everything (D2E) communication, IoT, and Internet of Vehicles (IoV) [14].”
Ultra-Reliable and Low-Latency Communications in 5G Downlink: Physical Layer Aspects (2017, methodology): “mMTC-based services, such as sensing, tagging, metering, and monitoring, require high connection density and better energy efficiency [8].”
A Comprehensive Overview on 5G-and-Beyond Networks With UAVs: From Communications to Sensing and Intelligence (2020, background): “• Massive machine-type communications (mMTC) which aims to provide connectivity for massive numbers of power-limited devices with heterogenous trafﬁc proﬁles such as in the industrial Internet-of-Things (IoT) [15].”