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Towards Massive Connectivity Support for Scalable mMTC Communications in 5G Networks
Open accessAbstract
The fifth generation of cellular communication systems is foreseen to enable a multitude of new applications and use cases with very different requirements. A new 5G multi-service air interface needs to enhance broadband performance as well as provide new levels of reliability, latency, and supported number of users. In this paper, we focus on the massive Machine Type Communications (mMTC) service within a multi-service air interface. Specifically, we present an overview of different physical and medium access techniques to address the problem of a massive number of access attempts in mMTC and discuss the protocol performance of these solutions in a common evaluation framework.
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Cites
Space/time trade-offs in hash coding with allowable errors
Bloom, B. (1970) · CACM · doi:10.1145/362686.362692 · Cited by 8,424 · cited 1×
“This observation was the motivation for the use of Bloom filters – a data structure based on the OR operation for testing set membership [25] – for the construction of the access signatures.”
MethodFive disruptive technology directions for 5G
Boccardi, F., Heath, R. W., Lozano, A., Marzetta, T. L., & Popovski, P. (2014) · IEEE Communications Magazine · doi:10.1109/mcom.2014.6736746 · Cited by 3,698 · cited 2×
“…MAC and PHY numerical simulation was conducted over 10 4 trails including the full physical layer processing (encoding, modulation, channel estimation, multi-user detection, demodulation, decoding) with BPSK, a [5 ; 7] 8 convolutional code, least squares multi-user equalization and BCJR decoding.”
BackgroundMethodSelf-citationLong-range communications in unlicensed bands: the rising stars in the IoT and smart city scenarios
Centenaro, M., Vangelista, L., Zanella, A., & Zorzi, M. (2016) · IEEE Wireless Communications · doi:10.1109/mwc.2016.7721743 · Cited by 1,284
Compute-and-Forward: Harnessing Interference Through Structured Codes
Nazer, B., & Gastpar, M. (2011) · IEEE Transactions on Information Theory · doi:10.1109/tit.2011.2165816 · Cited by 966 · cited 1×
“This property led to the so-called compute-and-forward [39], [40], which proved achievable gains, from an information-theory point of view.”
Background5GNOW: non-orthogonal, asynchronous waveforms for future mobile applications
Wunder, G., Jung, P., Kasparick, M., Wild, T., Schaich, F., Chen, Y., ten Brink, S., Gaspar, I. S., Michailow, N., Festag, A., et al. (2014) · IEEE Communications Magazine · doi:10.1109/mcom.2014.6736749 · Cited by 872 · cited 1×
“We follow the common simulation assumptions described in Table I. Note that the pilot-to-data ratio is only 13% so the overhead compared to LTE-4G has significantly reduced (reported to be up to 2000% in [48]).”
ResultSelf-citationLaya, A., Alonso, L., & Alonso-Zárate, J. (2014) · IEEE Communications Surveys & Tutorials · doi:10.1109/surv.2013.111313.00244 · Cited by 603 · cited 1×
“Thus, enhancement of the access reservation procedure for mMTC traffic has been in the focus of both the research community [3] and standardization [4].”
BackgroundExploiting Sparse User Activity in Multiuser Detection
Zhu, H., & Giannakis, G. B. (2010) · IEEE Transactions on Communications · doi:10.1109/tcomm.2011.121410.090570 · Cited by 278 · cited 1×
“Focusing on a one-stage protocol early works on sporadic access in combination with Code Division Multiple Access (CDMA) already noted that intermittent user activity leads to a multi-user detection (MUD) problem with sparsity that required novel algorithmic solutions [31].”
BackgroundReliable Physical Layer Network Coding
Nazer, B., & Gastpar, M. (2011) · Proceedings of the IEEE · doi:10.1109/jproc.2010.2094170 · Cited by 276 · cited 1×
“The presented Slotted Compute-and-Forward (SCF) approach is a random access extension of the Compute-and-Forward (CF) relaying scheme introduced in [49].”
MethodCoded random access: applying codes on graphs to design random access protocols
Paolini, E., Stefanović, Č., Liva, G., & Popovski, P. (2015) · IEEE Communications Magazine · doi:10.1109/mcom.2015.7120031 · Cited by 232 · cited 3×
“tage protocols by allowing more than one packet transmission per radio resource block and resolving collisions through advanced receivers. The solution falls under the category of coded random access [36], where features of channel coding are exploited both at the slot and frame level. In particular, the scheme partia…”
BackgroundMethodInfluentialSelf-citationCoverage and Capacity Analysis of LTE-M and NB-IoT in a Rural Area
Lauridsen, M., Kovács, I. Z., Mogensen, P., Sorensen, M., & Holst, S. (2016) · IEEE Vehicular Technology Conference · doi:10.1109/vtcfall.2016.7880946 · Cited by 200 · cited 1×
“The main focus of the NB-IoT is on providing extreme coverage, with supported number of users similar to LTE-M [18].”
Research works printed but not linked: 17
- candès, 2006, Compressive sampling, Proc Int Congr Math, 1433
- 2015, The LoRa Alliance Wide Area Networks for Internet of Things
- 2015, SigFox—Global Cellular Connectivity for The Internet of Things
- 2016, Final Results for Service Specific Multinode/Multi-Antenna Solutions
- 2016, Base Station (BS) Conformance Testing
- 2018, FANTASTIC-5G Website
- 2016, Preliminary Results for Multi-Service Support in Link Solution Adaptation
- 2016, Final Report on the Holistic Link Solution Adaptation
- 2017, E-UTRA Base Station (BS) Radio Transmission and Reception
- 2015, Further LTE Physical Layer Enhancements for MTC
- 10.1002/ett.3050 · DOI
- 2013, Study on Enhancements to Machine-Type Communications (MTC) and Other Mobile Data Applications Radio Access Network (RAN) Aspects
- 2015, Further LTE Physical Layer Enhancements for MTC
- 2016, Technical Specification Group Radio Access Network General Packet Radio Service (GPRS) Overall Description of the GPRS Radio Interface
- 2015, NarrowBand IOT
- 2014, Service Requirements for Machine-Type Communications (MTC)
- roth, 2016, Reliable recovery of hierarchically sparse signals and application in machine-type communications
Cited by
Sorted by citations
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Nawaz, S. J., Sharma, S. K., Wyne, S., Patwary, M. N., & Asaduzzaman, M. (2019) · IEEE Access · doi:10.1109/access.2019.2909490 · Cited by 658
“In the emerging paradigm of increasing human and machine inter-connectivity, a significant proliferation in the number of network nodes and data traffic is expected [3], [4].”
BackgroundA Survey on Technologies, Standards and Open Challenges in Satellite IoT
Centenaro, M., Costa, C. E., Granelli, F., Sacchi, C., & Vangelista, L. (2021) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2021.3078433 · Cited by 448
Ke, M., Gao, Z., Wu, Y., Gao, X., & Schober, R. (2020) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2020.2967175 · Cited by 424
“However, reliable massive access for massive connectivity is not supported by the current wireless networks [3].”
BackgroundDistributed Control and Communication Strategies in Networked Microgrids
Zhou, Q., Shahidehpour, M., Paaso, E. A., Bahramirad, S., Alabdulwahab, A., & Abusorrah, A. M. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2020.3023963 · Cited by 313
Faults in smart grid systems: Monitoring, detection and classification
Rivas, A. E. L., & Abrão, T. (2020) · Electric Power Systems Research · doi:10.1016/j.epsr.2020.106602 · Cited by 224
Pons, M., Valenzuela, E., Rodríguez, B., Nolazco‐Flores, J. A., & Del-Valle-Soto, C. (2023) · Sensors · doi:10.3390/s23083876 · Cited by 187
“5G mMTC [72] NR-MTC NOMA Coexisting with 4G and Wi-Fi Massive machine-type communications for smart cities and agriculture”
BackgroundA review of edge computing: Features and resource virtualization
Mansouri, Y., & Babar, M. A. (2021) · Journal of Parallel and Distributed Computing · doi:10.1016/j.jpdc.2020.12.015 · Cited by 190
Internet of Video Things: Next-Generation IoT With Visual Sensors
Chen, C. W. (2020) · IEEE Internet of Things Journal · doi:10.1109/jiot.2020.3005727 · Cited by 157
“Within 5G, the massive machine type communications (mMTC) usage scenario is specifically designed for IoVT type of applications in which a massive number of access attempts are common within 5G mMTC [6], [12].”
Ke, M., Gao, Z., Wu, Y., Gao, X., & Wong, K. (2020) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2020.3018807 · Cited by 149
“However, the reliable support of low-latency massive access for mMTC is still challenging in current wireless networks [3].”
BackgroundMassive MIMO for Internet of Things (IoT) connectivity
Bana, A.-S., de Carvalho, E., Soret, B., Abrão, T., Marinello, J. C., Larsson, E. G., & Popovski, P. (2019) · Physical Communication · doi:10.1016/j.phycom.2019.100859 · Cited by 125
“3) mMTC: In [31], authors focus on the massive mMTC service within a multi-service air interface.”
BackgroundSelf-citationEP-Based Joint Active User Detection and Channel Estimation for Massive Machine-Type Communications
Ahn, J., Shim, B., & Lee, K. B. (2019) · IEEE Transactions on Communications · doi:10.1109/tcomm.2019.2907853 · Cited by 124
“Motivation Recently, massive machine-type communication (mMTC) has received much attention due to its wide variety of Internetof-Things (IoT) applications such as smart metering, factory automation, autonomous driving, surveillance, and health monitoring, to name just a few [2].”
BackgroundChallenges Associated with Implementing 5G in Manufacturing
O’Connell, E., Moore, D., & Newe, T. (2020) · Telecom · doi:10.3390/telecom1010005 · Cited by 119
“This allows the network to schedule wireless resources to the eMBB enabled devices such that no two eMBB devices compete or access the same resource simultaneously [3].”
BackgroundClosed-Form Whittle’s Index-Enabled Random Access for Timely Status Update
Sun, J., Jiang, Z., Krishnamachari, B., Zhou, S., & Niu, Z. (2019) · IEEE Transactions on Communications · doi:10.1109/tcomm.2019.2960346 · Cited by 113
“System scalability with massive connectivity [13] is thus a big issue—not only is the latency compromised by a large number of terminals sharing the medium, but the signaling overhead necessary for scheduling decisions also constitutes a major concern considering short packets.”
BackgroundHybrid SDN evolution: A comprehensive survey of the state-of-the-art
Khorsandroo, S., Sánchez, A. G., Tosun, A. S., Arco, J., & Doriguzzi-Corin, R. (2021) · Computer Networks · doi:10.1016/j.comnet.2021.107981 · Cited by 111
“2083 [221] distinguishes three main usage scenarios for this technology: enhanced Mobile Broadband (eMBB) [222], massive Machine-Type Communications (mMTC) [223] and Ultra-reliable and Low Latency Communications (uRLLC) [224]; each of them with different requirements ranging from high data rates (+50Mbps) and extensiv…”
BackgroundToward 6G Internet of Things and the Convergence With RoF System
Chen, N., & Okada, M. (2020) · IEEE Internet of Things Journal · doi:10.1109/jiot.2020.3047613 · Cited by 110
Multidimensional Index Modulation for 5G and Beyond Wireless Networks
Doğan-Tusha, S., Tusha, A., Başar, E., & Arslan, H. (2020) · Proceedings of the IEEE · doi:10.1109/jproc.2020.3040589 · Cited by 105
“Various applications of the IoT, such as smart cities, connected vehicles, smart agriculture, public safety, and asset tracking, require different levels of coverage area, battery life, and connection capability [102].”
BackgroundCompressive-Sensing-Based Grant-Free Massive Access for 6G Massive Communication
Gao, Z., Ke, M., Mei, Y., Qiao, L., Chen, S., Ng, D. W. K., & Poor, H. V. (2023) · IEEE Internet of Things Journal · doi:10.1109/jiot.2023.3334878 · Cited by 104
“This section reports the whole landscape of existing IoT standards, in terms of data rate and coverage, and characterizes their key performance indicators, as illustrated in Fig.”
BackgroundNawaz, S. J., Sharma, S. K., Mansoor, B., Patwary, M., & Khan, N. M. (2021) · IEEE Access · doi:10.1109/access.2021.3061499 · Cited by 112
“In this context, authors in [30] have discussed several medium access protocols for massive access attempts in the mMTC scenario.”
BackgroundWireless Network Design for Emerging IIoT Applications: Reference Framework and Use Cases
Liu, Y., Kashef, M., Lee, K. B., Benmohamed, L., & Candell, R. (2019) · Proceedings of the IEEE · doi:10.1109/jproc.2019.2905423 · Cited by 81
“, mMTC and URLLC, which provide connections for the long-range IoT coverage and mission-critical applications, respectively [19], [40], [77].”
BackgroundPatwary, M. N., Nawaz, S. J., Rahman, M. A., Sharma, S. K., Rashid, M., & Barnes, S. J. (2020) · IEEE Access · doi:10.1109/access.2020.2964673 · Cited by 76
“Since botnet is a major threat for IoT verticals [96], 5G roll-out design should be able to dynamically detect botnet traffic pattern and mitigate the attack in 5G network environment by leveraging the combination of SDN and NFV techniques to adapt botnet detection and reaction functions in 5G networks.”
BackgroundInfluential5G Business Models for Mobile Network Operators—A Survey
Banda, L., Mzyece, M., & Mekuria, F. (2022) · IEEE Access · doi:10.1109/access.2022.3205011 · Cited by 70
“This service class is meant to support the connection of a large number of low-rate and low-power devices, referred to as machine-type devices (MTDs), within 5G cellu-273 lar networks [2], [3], [26].”
BackgroundOptimization of 5G Networks for Smart Logistics
Khatib, E. J., & Barco, R. (2021) · Energies · doi:10.3390/en14061758 · Cited by 67
“A traffic arrival rate of 30 arrivals per TTI can be considered high [86].”
BackgroundDeep-Learned Approximate Message Passing for Asynchronous Massive Connectivity
Zhu, W., Tao, M., Yuan, X., & Guan, Y. (2021) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2021.3067903 · Cited by 68
“THE fifth generation (5G) of wireless cellular networks has identified the massive machine-type communications (mMTC) as one of its core services [2], [3].”
BackgroundData Aggregation in Massive Machine Type Communication: Challenges and Solutions
Salam, T., Rehman, W. U., & Tao, X. (2019) · IEEE Access · doi:10.1109/access.2019.2906880 · Cited by 61
“As a consequence, several surveys covering various aspects of PHY and MAC layers can be found in literature including [12], [19], [34]–[40].”
BackgroundInfluentialXu, T., Zhou, T., Tian, J., Sang, J., & Hu, H. (2020) · IEEE Wireless Communications · doi:10.1109/mwc.001.1900246 · Cited by 57
“energy-sAvIng-orIented scenArIos Massive machine type communications (mMTC) is widely regarded as one of the three core scenarios in the 5G ecosystem [8], which is also a typical representative of energy-saving-oriented scenarios for spectrum sensing.”
BackgroundEnabling Roaming Across Heterogeneous IoT Wireless Networks: LoRaWAN MEETS 5G
Torroglosa-Garcia, E., Calero, J. M. A., Bernabé, J. B., & Skármeta, A. (2020) · IEEE Access · doi:10.1109/access.2020.2998416 · Cited by 54
“…including Narrowband Internet of Things (NB-IoT) [6] and LTE-M protocols, although they still yet lacks of some capabilities supported by other cheaper non-cellular LP-WAN (Low-Power WAN Area Networks) networks, such as efficient treatment of sporadic patterns, and short packet transmissions [7].”
BackgroundDemonstration of a hybrid optical fiber–wireless 5G fronthaul coexisting with end-to-end 4G networks
Mufutau, A. O., Guiomar, F. P., Fernandes, M. A., Lorences-Riesgo, A., Oliveira, A. S. R., & Monteiro, P. P. (2020) · Journal of Optical Communications and Networking · doi:10.1364/jocn.382654 · Cited by 54
Gkonis, P. K. (2022) · IEEE Access · doi:10.1109/access.2022.3232855 · Cited by 47
“…of fifth-generation (5G) mobile broad-band cellular networks is expected to leverage the delivery of advanced services to end users, such as enhanced mobile broadband (eMBB), ultra-reliable low latency communications (URLLC) as well as massive machine type communications (mMTC) [1], [2], [3].”
BackgroundThroughput Analysis and User Barring Design for Uplink NOMA-Enabled Random Access
Yu, W., Foh, C. H., Quddus, A. U., Liu, Y., & Tafazolli, R. (2021) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2021.3073326 · Cited by 47
“Sporadic access will be expected by a large quantity of devices to transmit small data payloads, which results in an unknown, random subset of active devices at a given transmission instance [2].”
Ho, T. M., Tran, T. D., Nguyen, T. T., Kazmi, S. M. A., Le, L. B., Hong, C. S., & Hanzo, L. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1907.10102 · Cited by 49
“• 3-GPP standards (protocol stacks): Cat-M1, NB-IoT, ECGSM-IoT [24], [32], [61].”
Energy-Delay Evaluation and Optimization for NB-IoT PSM With Periodic Uplink Reporting
Bello, H., Jian, X., Wei, Y., & Chen, M. (2018) · IEEE Access · doi:10.1109/access.2018.2888566 · Cited by 40
Cyber Security Threats for 5G Networks
Mohan, J. P., Sugunaraj, N., & Ranganathan, P. (2022) · IEEE International Conference on Electro Information Technology · doi:10.1109/eit53891.2022.9813965 · Cited by 42
On Throughput Bounds of NOMA-ALOHA
Choi, J. (2021) · IEEE Wireless Communications Letters · doi:10.1109/lwc.2021.3123309 · Cited by 36
“, smart factory, smart cities, and intelligent transportation) [4] [5].”
BackgroundA novel MAC protocol exploiting concurrent transmissions for massive LoRa connectivity
Hou, Y., Liu, Z., & Sun, D. (2020) · Journal of Communications and Networks · doi:10.1109/jcn.2020.000005 · Cited by 35
“Furthermore, combining the PHY multi-packet reception capability with the MAC protocol design [11], a drastic performance augment can always be produced.”
MethodDistance-Aware Relay Selection in an Energy-Efficient Discovery Protocol for 5G D2D Communication
Anamuro, C. V., Varsier, N., Schwoerer, J., & Lagrange, X. (2021) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2021.3058636 · Cited by 33
“On the other hand, when the direct link (MTD-BS) is under unfavorable propagation conditions, the MTD transmits its data for a long period if it uses the repetition technique [37], increasing the energy consumption, the delay, and the number of radio resources.”
BackgroundCell-Free Massive MIMO : Scalability, Signal Processing and Power Control
Interdonato, G. (2020) · Linköping studies in science and technology. Dissertations · doi:10.3384/diss.diva-167218 · Cited by 32
An Approach to Preamble Collision Reduction in Grant-Free Random Access With Massive MIMO
Choi, J. (2020) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2020.3034308 · Cited by 31
“Note that grant-free random access is also called two-step random access or one-shot approaches [13]–[15].”
BackgroundIterative Collision Resolution for Slotted ALOHA With NOMA for Heterogeneous Devices
Huang, Y.-C., Shieh, S.-L., Hsu, Y.-P., & Cheng, H.-P. (2021) · IEEE Transactions on Communications · doi:10.1109/tcomm.2021.3059778 · Cited by 31
“However, in many applications in the mMTC use scenarios, several heterogeneous types of users coexist [4], [28], [29].”
Dev, K., Khowaja, S. A., Sharma, P. K., Chowdhry, B. S., Tanwar, S., & Fortino, G. (2021) · IEEE Internet of Things Journal · doi:10.1109/jiot.2021.3095255 · Cited by 31
LPWAN in the Context of 5G: Capability of LoRaWAN to Contribute to mMTC
Böcker, S., Arendt, C., Jörke, P., & Wietfeld, C. (2019) · IEEE World Forum on Internet of Things (WF-IoT) · doi:10.1109/wf-iot.2019.8767333 · Cited by 30
“Currently, two major technology groups providing functionalities to solve defined 5G mMTC requirements are discussed [2].”
BackgroundPerformance of LoRaWAN for Handling Telemetry and Alarm Messages in Industrial Applications
Filho, F. H. C. D. S., Dester, P. S., Stancanelli, E. M. G., Cardieri, P., Nardelli, P. H. J., Carrillo, D., & Alves, H. (2020) · Sensors · doi:10.3390/s20113061 · Cited by 30
“…and efficiency of regular and alarm messages with the goal of finding efficient ways of coordinating massive connectivity—the so-called massive machine-type communications (mMTC) [9], while allowing for reliable alarm messages for protection and security proposes in industrial environments.”
BackgroundDetection Techniques for Massive Machine-Type Communications: Challenges and Solutions
Renna, R. B. D., Bockelmann, C., de Lamare, R. C., & Dekorsy, A. (2020) · IEEE Access · doi:10.1109/access.2020.3027523 · Cited by 29
“How to deal with the massive access of hundreds of billion devices with small-sized transmission pay-loads and sporadic features is one of the main challenges of this kind of network [4], [69].”
BackgroundSelf-citationNtabeni, U., Basutli, B., Alves, H., & Chuma, J. (2024) · IEEE Open Journal of the Communications Society · doi:10.1109/ojcoms.2024.3443920 · Cited by 33
“MTC networks are engineered to accommodate a vast array of devices concurrently, offering scalability that extends to millions of devices within a square kilometer [44], thereby enabling expansive machine-to-machine (M2M) connectivity.”
BackgroundMahbub, M., Saym, M. M., Jahan, S., Paul, A. K., Vahid, A., Hosseinalipour, S., Barua, B., Yeh, H., Shubair, R. M., & Taleb, T. (2025) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2025.104131 · Cited by 34
OFDM-Based Massive Grant-Free Transmission Over Frequency-Selective Fading Channels
Zhu, Y., Sun, G., Wang, W., You, L., Wei, F., Wang, L., & Chen, Y. (2022) · IEEE Transactions on Communications · doi:10.1109/tcomm.2022.3175178 · Cited by 28
On Fast Retrial for Two-Step Random Access in MTC
Choi, J. (2020) · IEEE Internet of Things Journal · doi:10.1109/jiot.2020.3012449 · Cited by 27
“dom access approaches are extensively studied [12], which are also often called compressive random access or one-shot [13]–[16] or grant-free approaches [17]–[20].”
BackgroundLearning Random Access Schemes for Massive Machine-Type Communication With MARL
Jadoon, M. A., Pastore, A., Navarro, M., & Valcarce, Á. (2023) · IEEE Transactions on Machine Learning in Communications and Networking · doi:10.1109/tmlcn.2023.3345273 · Cited by 26
“As the number of Internet of Things (IoT) devices grows, millions of devices with characteristics different from human-type communication will require connectivity [2], [3].”
BackgroundSelf-citationMassive Connectivity in 5G and Beyond: Technical Enablers for the Energy and Automotive Verticals
Kalalas, C., & Alonso-Zárate, J. (2020) · Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit) · doi:10.1109/6gsummit49458.2020.9083809 · Cited by 26
“Among the various techniques proposed for the enhancement of the RACH procedure, grant-free access schemes, where uplink transmissions can take place without a prior request-grant phase, are considered as a promising and low-overhead mechanism for smart grid operations involving mMTC [1].”
BackgroundMethodSafeguarding MTC at the Physical Layer: Potentials and Challenges
Osorio, D. P. M., Olivo, E. E. B., Alves, H., & Latva‐aho, M. (2020) · IEEE Access · doi:10.1109/access.2020.2996383 · Cited by 26
“This way, MTC plays a pivotal role on the concretization of the Internet of Things (IoT) and Internet of Everything (IoE) [2], [3].”
BackgroundInfluentialRenna, R. B. D., & de Lamare, R. C. (2022) · IEEE Transactions on Communications · doi:10.1109/tcomm.2022.3151775 · Cited by 26
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Roth, I., Kliesch, M., Flinth, A., Wunder, G., & Eisert, J. (2020) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2020.3003453 · Cited by 27
“AnothermajorapplicationisthesupportofmMTCsporadic traffic[19]–[21]whereamassivenumberofdevicesaccessin anuncoordinatedmannerthesamecommunicationresource.”
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Bustamante, Á. L., Casares, P., Cuadrado-Gallego, J. J., & Patricio, M. A. (2021) · Sensors · doi:10.3390/s21134559 · Cited by 25
“Beyond improved speed, or latency, 5G is expected to unleash a massive IoT (Internet of Things) ecosystem [2] in which networks can meet the communication needs of billions of connected devices with the right capabilities [3].”
BackgroundA method for analyzing Stackelberg attack–defense game model in 5G by tCPSO
Liu, N., Liu, S., Chai, Q.-W., & Zheng, W. (2023) · Expert Systems with Applications · doi:10.1016/j.eswa.2023.120386 · Cited by 25
Dynamic Message Scheduling Based on Activity-Aware Residual Belief Propagation for Asynchronous mMTC
Renna, R. B. D., & de Lamare, R. C. (2021) · IEEE Wireless Communications Letters · doi:10.1109/lwc.2021.3064304 · Cited by 23
“…or asynchronous transmission is promising for mMTC since it has advantages such as reduced transmission latency, smaller signalling overhead due to the simplification of the scheduling procedure and improved energy efficiency (battery life) of MTCDs with the reduction in signalling [3], [4].”
BackgroundUplink Grant-Free NOMA With Sinusoidal Spreading Sequences
Hasan, S. M., Mahata, K., & Hyder, M. M. (2021) · IEEE Transactions on Communications · doi:10.1109/tcomm.2021.3062389 · Cited by 23
“Examples of mMTC systems include smart metering, smart homes, smart agriculture, fleet management, health monitoring, etc [2], [3].”
BackgroundSrinath, H. G., Rana, M., & Balasubramanya, N. M. (2022) · IEEE Internet of Things Journal · doi:10.1109/jiot.2022.3149013 · Cited by 23
Fog-Enabled Scalable C-V2X Architecture for Distributed 5G and Beyond Applications
Sarrigiannis, I., Contreras, L. M., Ramantas, K., Antonopoulos, A., & Verikoukis, C. V. (2020) · IEEE Network · doi:10.1109/mnet.111.2000476 · Cited by 22
“While these solutions many C-V2X applications to function properly, ; Luis M. Contreras is with Telefónica I+D/Global CTIO Unit; Verikoukis are with CTTC/CERCA. they struggle to guarantee the ultra-low latency requirements (i.e., equal or less than 10 ms) in volumes for some crucial services [5].”
BackgroundNayagi, D. S., Sivasankari, G. G., Ravi, V., Venugopal, K. R., & Sennan, S. (2021) · International Journal of Communication Systems · doi:10.1002/dac.4900 · Cited by 23
“11 13 – 15 In MTC, the traffic load is very small, and it is unpredictable in nature leading to signaling overhead making route selection very challenging.”
BackgroundPerformance Study and Enhancement of Access Barring for Massive Machine-Type Communications
Vidal, J. R., Tello-Oquendo, L., Pla, V., & Guijarro, L. (2019) · IEEE Access · doi:10.1109/access.2019.2917618 · Cited by 22
“ultrareliable and low-latency communications (URLLC) and enhanced mobile broadband (eMBB) [4], [5].”
BackgroundImplementation of a multiband 5G NR fiber-wireless system using analog radio over fiber technology
Pereira, L. A. M., Lopes, C. H. D. S., Borges, R. M., Lima, E. S., Ferreira, A. C., Abreu, M., Mendes, L. L., & Arismar Cerqueira, S. (2020) · Optics Communications · doi:10.1016/j.optcom.2020.126112 · Cited by 21
Information-Centric Grant-Free Access for IoT Fog Networks: Edge vs. Cloud Detection and Learning
Kassab, R., Simeone, O., & Popovski, P. (2020) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2020.3002782 · Cited by 21
“This line of work is currently of particular interest in the context of massive Machine-Type Communications (mMTC) for 5G systems [22].”
BackgroundSelf-citationFeature selection based machine learning models for 5G network slicing approximation
Dangi, R., & Lalwani, P. (2023) · Computer Networks · doi:10.1016/j.comnet.2023.110093 · Cited by 26
MSPA: Multislot Pilot Allocation Random Access Protocol for mMTC-Enabled IoT System
Jiao, J., Xu, L., Wu, S., Lu, R., & Zhang, Q. (2021) · IEEE Internet of Things Journal · doi:10.1109/jiot.2021.3081535 · Cited by 19
Massive Uncoordinated Multiple Access for Beyond 5G
Mohammadkarimi, M., Dobre, O. A., & Win, M. Z. (2021) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2021.3117256 · Cited by 18
“The authors in [12] have employed compressive sensing MUD in slotted ALOHA.”
MethodDual‐band switched‐beam antenna array for MIMO systems
Boas, E. C. V., Filgueiras, H. R. D., da Costa, I. F., Ribeiro, J. A. J., & Arismar Cerqueira, S. (2019) · IET Microwaves Antennas & Propagation · doi:10.1049/iet-map.2019.0010 · Cited by 18
Density-aware mobile networks: Opportunities and challenges
Mollahasani, S., Eroğlu, A., Demirkol, I., & Ertan Onur, A. (2020) · Computer Networks · doi:10.1016/j.comnet.2020.107271 · Cited by 17
Fifth Generation Cellular Networks and Neurosurgery: A Narrative Review
Penn, J. W., Marcus, H. J., & Uff, C. E. G. (2021) · World Neurosurgery · doi:10.1016/j.wneu.2021.09.054 · Cited by 17
Low-Complexity Block Coordinate Descend Based Multiuser Detection for Uplink Grant-Free NOMA
Gao, P., Liu, Z., Xiao, P., Foh, C. H., & Zhang, J. (2022) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2022.3177784 · Cited by 17
Network Slicing for mMTC and URLLC Using Software-Defined Networking with P4 Switches
Wu, Y., Hwang, W.-S., Shen, C.-Y., & Chen, Y.-Y. (2022) · Electronics · doi:10.3390/electronics11142111 · Cited by 17
Kim, N., Kim, D., Shim, B., & Lee, K. B. (2021) · IEEE Wireless Communications Letters · doi:10.1109/lwc.2021.3071453 · Cited by 18
“Because only a small number of machine-type devices are active at a time, the activity indicator vector can be well modeled as a sparse vector [4].”
BackgroundEnhanced Irregular Repetition Slotted ALOHA Under SIC Limitation
Shieh, S.-L., & Yang, S.-H. (2022) · IEEE Transactions on Communications · doi:10.1109/tcomm.2022.3147505 · Cited by 17
Traffic Load Learning Towards Early Detection of Intrusion in Industrial mMTC Networks
Zhao, Z., Du, Q., & Song, H. (2022) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2022.3218722 · Cited by 17
“The Poisson distribution, i.e., exponentially distributed times between packet arrivals for one device, is appropriate for modeling the traffic in mMTC [1], [25].”
BackgroundRandom Orthogonalization for Federated Learning in Massive MIMO Systems
Wei, X., Shen, C., Yang, J., & Poor, H. V. (2023) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2023.3302335 · Cited by 15
“For more details on synchronization, please refer to [49].”
BackgroundApplication of ZigZag Decoding in Frameless ALOHA
Ogata, S., & Ishibashi, K. (2019) · IEEE Access · doi:10.1109/access.2019.2906937 · Cited by 15
“is supposed to be sporadic [15], the actual users would be a subset of all users in the network, and the number of active users should be less than the number of all users.”
BackgroundAn Enhanced CoAP Scheme Using Fuzzy Logic With Adaptive Timeout for IoT Congestion Control
Aimtongkham, P., Horkaew, P., & So–In, C. (2021) · IEEE Access · doi:10.1109/access.2021.3072625 · Cited by 14
“For instance, on a Massive Machine-Type Communications (mMTC) 5G network, the numbers can often reach 1 million connections per square meter [11], [12], while with standard ZigBee, as many as 65,536 devices are feasible [13].”
Background6G Mobile Communications for Multi-Robot Smart Factory
Chen, Z., Chen, K., Dong, C., & Nie, Z. (2021) · Journal of ICT Standardization · doi:10.13052/jicts2245-800x.934 · Cited by 14
“Several papers have studied the mMTC (massive Machine Type Communications) application for the smart city and smart manufacturing which relied on sensing and monitoring with applying the IoT [22–27].”
BackgroundMethodBeam Selection and Power Allocation for Massive Connectivity in Millimeter Wave NOMA Systems
Chiu, Y.-T., & Liu, K.-H. S. (2020) · IEEE Access · doi:10.1109/access.2020.2980880 · Cited by 14
“INTRODUCTION The provisioning of massive connectivity has been deemed as one of the key application scenarios in the fifth generation (5G) wireless communication systems [1], [2].”
BackgroundHow to Identify and Authenticate Users in Massive Unsourced Random Access
Kotaba, R., Kalør, A. E., Popovski, P., Leyva‐Mayorga, I., Soret, B., Guillaud, M., & Ordóñez, L. G. (2021) · IEEE Communications Letters · doi:10.1109/lcomm.2021.3118882 · Cited by 14
“One of the hallmarks of the fifth generation (5G) wireless systems and beyond is massive Internet of Things (IoT) connectivity [1].”
BackgroundSelf-citationReinforcement Learning-based Dynamic Service Placement in Vehicular Networks
Talpur, A., & Gurusamy, M. (2021) · IEEE Vehicular Technology Conference · doi:10.1109/vtc2021-spring51267.2021.9448645 · Cited by 14
“5G is a perfect enabler for V2X applications [12].”
BackgroundOn the Connectivity Maximization in NOMA-Aided Industrial IoT With Multiple Services
Yin, B., Tang, J., Wen, M., & Li, W. (2023) · IEEE Internet of Things Journal · doi:10.1109/jiot.2023.3264624 · Cited by 13
“From the physical and medium access layer perspective, designing the efficient access protocols in 5G networks, such as 5G multiservice air interface, facilitates the improvement of the ability of network to access massive devices [9].”
BackgroundData-Aided Sensing for Gaussian Process Regression in IoT Systems
Choi, J. (2020) · IEEE Internet of Things Journal · doi:10.1109/jiot.2020.3040676 · Cited by 13
“, WSN for monitoring high frequency events in [10]), which may be crucial in MTC when there are a large number of sensors [11].”
BackgroundEnergy-Efficient and Reliable IoT Access Without Radio Resource Reservation
Azari, A., Stefanović, Č., Popovski, P., & Çavdar, Ç. (2021) · IEEE Transactions on Green Communications and Networking · doi:10.1109/tgcn.2021.3051033 · Cited by 13
“The revolutionary solutions aim at a fundamental revision of the access procedure in order to provide low energy consumption [11], [12], with a potential to lower access delay.”
BackgroundSelf-citationLow-Density Spreading Codes for NOMA Systems and a Gaussian Separability-Based Design
Kulhandjian, M., Kulhandjian, H., D’Amours, C., & Hanzo, L. (2021) · IEEE Access · doi:10.1109/access.2021.3060879 · Cited by 13
“However, the multiple access scheme of 5G is required to support a wide range of use cases, including a massive number of low-power Internet of Things (IoT) devices, device-todevice (D2D) communications, device-to-everything (D2E), the Internet of Vehicles (IoV), as well as seamless machine-to-machine (M2M) communicat…”
BackgroundDecentralized Channel Estimation for the Uplink of Grant-Free Massive Machine-Type Communications
Liu, S., Zhang, H., & Zou, Q. (2021) · IEEE Transactions on Communications · doi:10.1109/tcomm.2021.3126619 · Cited by 13
Security Standards and Measures for Massive IoT in the 5G Era
Qiu, Q., Wang, D., Du, X., Yu, S., Liu, S., & Zhao, B. (2021) · Mobile Networks and Applications · doi:10.1007/s11036-021-01841-2 · Cited by 13
HARQ-Based Grant-Free NOMA for mMTC Uplink
Jabbarvaziri, F., Balasubramanya, N. M., & Lampe, L. (2020) · IEEE Internet of Things Journal · doi:10.1109/jiot.2020.3045447 · Cited by 12
“Hence, open-loop power control is more suitable for GF-NOMA scenarios and thus adopted in this article (consistent with the power control mechanism used in [9], [12], and [34]).”
BackgroundMethodResultInfluentialMultiobjective Optimization and Network Routing With Near-Term Quantum Computers
Chiew, S.-H., Poirier, K., Mishra, R., Bornheimer, U., Munro, E., Foon, S. H., Chen, C. W., Lim, W. S., & Nga, C. W. (2024) · IEEE Transactions on Quantum Engineering · doi:10.1109/tqe.2024.3386753 · Cited by 15
“Its solution is relevant across a wide range of network design and optimization tasks [4], [5], [6], [8], [9], [10], especially beyond current wireless network protocols based on individual objectives such as the optimized link state routing protocol [36] which only considers hop count and is,…”
BackgroundAly, A. A., Elattar, H. M., El-Badawy, H. M., & Abbas, W. (2019) · Sensors · doi:10.3390/s19173651 · Cited by 12
“Currently, the procedure for reserving access is limited to a low number of devices and each device requires high data rates [3].”
BackgroundA Cyber-Physical Residential Energy Management System via Virtualized Packets
Tomé, M. D. C., Nardelli, P. H. J., Hussain, H. M., Wahid, S., & Narayanan, A. (2020) · Energies · doi:10.3390/en13030699 · Cited by 12
“…foresee that recent advances in the Internet of Things [44], 5G technologies for vertical applications [45] and machine-type wireless communications [46,47] will also provide the level of reliability and availability required by the proposed energy management system, allowing it to scale up [37].”
BackgroundInternet of Things (IoT) Connectivity in 6G: An Interplay of Time, Space, Intelligence, and ValuePreprint
Popovski, P., Chiariotti, F., Croisfelt, V., Kalør, A. E., Leyva‐Mayorga, I., Marchegiani, L., Pandey, S. R., & Soret, B. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2111.05811 · Cited by 15
“This has led to a surge on research in the area of massive random access [6], [7].”
BackgroundSelf-citationCapacity enhancement of NOMA‐SWIPT IoT relay system with direct links over rayleigh fading channels
Rauniyar, A., Engelstad, P. E., & Østerbø, O. N. (2020) · Transactions on Emerging Telecommunications Technologies · doi:10.1002/ett.3913 · Cited by 11
“The received signal at R, UE1 and UE2 can be given, respectively, as: yR = h1 (√ a1Px1 + √ a2Px2 ) + nR (2)”
Throughput and latency in the distributed Q-learning random access mMTC networks
Silva, G. M. F., & Abrão, T. (2022) · Computer Networks · doi:10.1016/j.comnet.2022.108787 · Cited by 11
“In this way, the transmission rate is not one of the most important figures of merit, but throughput, which evaluates the number of successful transmissions in a given time interval, and the probability of collision, which is the number of collisions that occurs at a certain time interval [2], [3].”
BackgroundAn Efficient NB-IoT Compatible GF-NOMA PHY Mechanism for mMTC
Srinath, H. G., Jha, S., & Balasubramanya, N. M. (2023) · IEEE Internet of Things Journal · doi:10.1109/jiot.2023.3280598 · Cited by 11
Rate Optimization for RIS-Aided mMTC Networks in the Finite Blocklength Regime
Liesegang, S., Zappone, A., Muñoz, O., & Pascual‐Iserte, A. (2022) · IEEE Communications Letters · doi:10.1109/lcomm.2022.3231717 · Cited by 10
“M ASSIVE machine-type communications (mMTC) play an essential role in the next generation of cellular networks [1].”
BackgroundOn Massive MIMO for Massive Machine-Type Communications
Becirovic, E. (2020) · Linköping studies in science and technology. Thesis · doi:10.3384/lic.diva-162586 · Cited by 10
“such as different types of sensors [7, 8].”
Fixed Cluster-Based Collision Resolution Random Access for Cell-Free Massive MIMO
He, Y., Ren, G., & Dong, X. (2024) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2024.3349382 · Cited by 10
“As a result, it cannot ensure dedicated pilot allocation to every concurrently activated IoT device [3].”
BackgroundMeasurement and Modeling of Propagation Characteristics for an Indoor Environment in the 28 GHz-band
Ito, S., Hayashi, T., Yamazaki, K., Nakao, M., Sakai, S., Kurosawa, Y., Matsunaga, A., & Yoshida, K. (2019) · IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) · doi:10.1109/pimrc.2019.8904312 · Cited by 10
“In the case of IoT (Internet of Things) using a large number of censors, intermittently communications occur from about tens of thousands of censor devices [7].”
BackgroundActivity Detection in Distributed Massive MIMO With Pilot-Hopping and Activity Correlation
Becirovic, E., Björnson, E., & Larsson, E. G. (2022) · IEEE Wireless Communications Letters · doi:10.1109/lwc.2022.3223623 · Cited by 10
“Random access for mMTC has been studied in many works recently [2], [3] and especially a large focus has been on grant-free random access since the communication overhead will be smaller when there is no contention resolution [4], [5].”
BackgroundLiao, C.-C., Chen, T.-S., & Wu, A.-Y. A. (2019) · IEEE Transactions on Circuits and Systems I Regular Papers · doi:10.1109/tcsi.2019.2903193 · Cited by 10
“Most of the devices in IoT applications are low-rate sensors with sporadic characteristics [36]–[39].”
BackgroundInfluentialModeling and Forecasting of Timescale Network Traffic Dynamics in M2M Communications
Wu, Y., Cui, Y., Yu, W., Lu, C., & Zhao, W. (2019) · IEEE International Conference on Distributed Computing Systems (ICDCS) · doi:10.1109/icdcs.2019.00076 · Cited by 10
“Thus, standardization agencies, such as 3GPP (3rd Generation Partnership Project), IEEE (Institute of Electrical and Electronics Engineers), ETSI (European Telecommunications Standards Institute), and 5GPPP (5G Public Private Partnership), among others, are devoted to the requirement specifications of M2M communicatio…”
Background
Metadata
- Authors
- Bockelmann, C., Pratas, N. K., Wunder, G., Saur, S., Navarro, M., Gregoratti, D., Vivier, G., De Carvalho, E., Ji, Y., Stefanovic, C., Popovski, P., Wang, Q., Schellmann, M., Kosmatos, E., Demestichas, P., Raceala-Motoc, M., Jung, P., Stanczak, S., & Dekorsy, A.
- Affiliations
- University of Bremen (DE)
- Aalborg University (DK)
- Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute (DE)
- Nokia Bell Labs, Stuttgart, Germany
- Centre Tecnològic de Telecomunicacions de Catalunya, Castelldefels, Spain
- Centre Tecnologic de Telecomunicacions de Catalunya (ES)
- Sequans Communications (France) (FR)
- Aalborg University, Aalborg, Denmark
- Huawei German Research Center (DE)
- WINGS ICT Solutions (Greece) (GR)
- University of Piraeus (GR)
- Technische Universität Berlin (DE)
- Fraunhofer Heinrich-Hertz-Institut Berlin, Berlin, Germany
- ORCID
- Venue
- IEEE Access
- Published
- 2018
- Volume
- 6
- Pages
- 28969-28992
- ISSN
- 2169-3536 (ISSN-L)
- OpenAlex
- W2795402406
- Cited by
- 289
- References
- 40
- Citations by year
- 2026: 12 · 2025: 23 · 2024: 28 · 2023: 28 · 2022: 41 · 2021: 64 · 2020: 54 · 2019: 33 · 2018: 6
- FWCI
- 15.02
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- IEEE Access (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) (submittedVersion)
- Fraunhofer-Publica (Fraunhofer-Gesellschaft) (submittedVersion)
- VBN Forskningsportal (Aalborg Universitet) (submittedVersion, other-oa)
- arXiv (Cornell University)
- Funders
- Horizon 2020 Project FANTASTIC-5G (ICT-671660)
- European Union
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › IoT Networks and Protocols
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced MIMO Systems Optimization
- Keywords
- massive machine-type communications, 5G, massive connectivity, medium access control, physical layer techniques, protocol performance evaluation
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