The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
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].”
Flagged first, then by citations
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
Items 201–287 of 287
Novel Pilot Allocation Random Access Protocol for Integrated Terrestrial-Satellite Networks
Xu, L., Jiao, J., Wang, F., Yang, H., Wu, S., & Zhang, Q. (2020) · IEEE Vehicular Technology Conference · doi:10.1109/vtc2020-fall49728.2020.9348758 · Cited by 2
“Massive machine-type communication (mMTC) is an inherent property of the fifth generation (5G) and beyond wireless networks, aiming at providing massive connectivity for massive low rate and small-sized data transmission applications [1].”
BackgroundInter-cell Interference Reduction Scheme for Uplink Transmission in NB-IoT Systems
Mwakwata, C. B., Elgarhy, O., Moullec, Y. L., Alam, M. M., Pärand, S., & Annus, I. (2021) · International Wireless Communications and Mobile Computing Conference (IWCMC) · doi:10.1109/iwcmc51323.2021.9498970 · Cited by 2
Hierarchical sparse recovery from hierarchically structured measurements.Preprint
Groß, B., Flinth, A., Roth, I., Eisert, J., & Wunder, G. (2020) · arXiv (Cornell University) · Cited by 2
Self-citationSystematic Literature Review on 5G-IoT Security AspectsPreprint
Valadares, D. C. G., Will, N. C., Sobrinho, Á., de Lima, A. M. J., Morais, I., & Santos, D. F. S. (2023) · Preprints.org · doi:10.20944/preprints202311.0565.v1 · Cited by 2
Wen, L., Chen, A., Li, T., Wang, X., Penty, R. V., & Yao, Y. (2019) · International Conference on Computer Science and Network Technology (ICCSNT) · doi:10.1109/iccsnt47585.2019.8962472 · Cited by 1
“1000 fold increase in signal capacity is expected for 5G [9-10].”
BackgroundaBRSL: AI based bilateral RAT selection framework for next-generation wireless networks
Priya, B., Malhotra, J., & Singh, K. (2024) · Multimedia Tools and Applications · doi:10.1007/s11042-024-18799-4 · Cited by 1
“Therefore, this service class has niche demands in terms of energy consumption and cost [11, 17].”
A Feature-Domain Channel Acquisition Scheme for MIMO-OFDM
Gao, S., Xu, F., & Shi, Q. (2024) · IEEE Journal of Selected Topics in Signal Processing · doi:10.1109/jstsp.2024.3454948 · Cited by 1
“Ensuring that large numbers of IoT devices are endowed with dependable links is imperative to activate a wide array of applications [5], [6], [7].”
Low-Complexity Neural Belief Propagation Decoding Algorithm Based on Tensor Ring Decomposition
Liang, Y., Lam, C., Wu, Q., Ng, B. K., & Im, S. (2024) · IEEE Transactions on Cognitive Communications and Networking · doi:10.1109/tccn.2024.3487999 · Cited by 1
“In the 5th generation (5G) communication system, Massive Machine Type Communication (mMTC) is used to support machine-type communication for the future Internet of Things services [10], [11], and ultra-low power consumption is needed to extend the life of the machines.”
Lamprou, V., Doukas, G. S., Ntanos, C., & Askounis, D. (2025) · Computer Networks · doi:10.1016/j.comnet.2025.111598 · Cited by 1
Channel Decontamination Based Pilot Contamination Attack Resistance for GF-mMTC Emergency Networks
Wang, Y., Wang, Y., Wang, T., & Cheng, J. (2024) · IEEE Globecom Workshops (GC Wkshps) · doi:10.1109/gcwkshp64532.2024.11101129 · Cited by 1
“…machine-type communication (mMTC) provides the simultaneous connections for a high density of devices, which ensures the efficient and reliable transmission of sensor and monitoring data in the emergency scenarios, such as the disaster response, infrastructure monitoring, and public safety [1], [2].”
Performance comparison of One-Step and Two-Step random access schemes in NB-IoT networks
Iloridou, M. V., Nicopolitidis, P., Papadimitriou, G. I., & Kantelis, K. F. (2025) · International Conference on Communications, Computing, Cybersecurity, and Informatics (CCCI) · doi:10.1109/ccci65983.2025.11215148 · Cited by 1
“In [12], the authors investigate the performance of 1-step and 2-step RA in LTE system for mMTC.”
A Low Latency Data Transmission Scheme for Buffered IoT Devices in NB-IoT Networks
Iloridou, M. V., & Pavlidou, F.-N. (2025) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2025.3642233 · Cited by 1
“At an IoT device, data packet arrivals follow a Poisson distribution with rate λ [5], [23], [38].”
InfluentialPower allocation in an uplink sparse code multiple access with target bit error rates
Ghani, B., Launay, F., Perrine, C., Mendiboure, L., Dulout, R., & Pousset, Y. (2026) · Digital Signal Processing · doi:10.1016/j.dsp.2026.106071 · Cited by 1
Späth, M., Neuder, R., Sode, M., Schüßler, M., Jakoby, R., & Saez, A. J. (2026) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2026.3677976 · Cited by 1
“The sub-6 GHz spectrum is fundamental to the current 5G technologies, supporting applications, such as enhanced mobile broadband (eMBB) [3], massive machine-type communications (mMTC) [4], and ultrareliable low-latency communications (URLLCs) [5].”
A Post-Quantum Cryptographic Framework for High-Level Security Protocols in 6G
Udugahapattuwa, P., de Alwis, C., Zeydan, E., Wijewardhana, U., & Liyanage, M. (2026) · Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit) · doi:10.1109/eucnc/6gsummit68295.2026.11577443 · Cited by 1
“As this work focuses on a conceptual framework and evaluation methodology, future work will implement the proposed [33] Large PQ signatures and certificate chains can dominate small packets, making header overhead much larger than payload and reducing radio effi-ciency in mMTC slices [24], [34]…”
A Tutorial on Future Vehicular Communications: From Performance Metrics to Open Research Directions
Ye, J., Ge, X., Zhao, Y., Yu, Y., & Gharavi, H. (2026) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2026.3708858 · Cited by 1
“However, there still exist many issues, such as control signaling design, access capacity enhancement, power consumption reduction, and multi-service integration support that need to be addressed [76].”
C-RAN-Assisted Non-Coherent Grant-Free Random Access Based on Compute-and-Forward
Raceala-Motoc, M., Jung, P., Utkovski, Z., & Stańczak, S. (2018) · IEEE Globecom Workshops (GC Wkshps) · doi:10.1109/glocomw.2018.8644380 · Cited by 1
“Successfully decoded linear combinations are then forwarded to the CU, which solves for the original messages [19]–[22].”
BackgroundSelf-citationGrant-Free Massive Machine-Type Communications with Backward Activity Detection
Xiao, H., Ai, B., & Chen, W. R. (2019) · Globecom · doi:10.1109/globecom38437.2019.9013141 · Cited by 1
“A detailed introduction of procedure options can be found in [2].”
BackgroundHybrid Bayesian-based Indoor Localization Mechanisms for Distributed Antenna Systems
Terças, L., de Lima, C. H. M., Saloranta, J., & Latva‐aho, M. (2021) · IEEE Vehicular Technology Conference · doi:10.1109/vtc2021-spring51267.2021.9448702 · Cited by 1
“In indoor deployment scenarios, such Bayesian graphical models can use distinct metrics, such as TOA, TDOA, RSS and DOA, or a hybrid approach (combining distinct metrics) to find the position of a target [1], [12].”
BackgroundMethodRenna, R. B. D., & de Lamare, R. C. (2021) · IEEE Statistical Signal Processing Workshop (SSP) · doi:10.1109/ssp49050.2021.9513741 · Cited by 1
“…the conventional human-type communications, massive machine-type communications (mMTC) for the Internet of Things (IoT) have unique service features, such as uplink traffic dominated by short packets [1], sparse device activity [2], high energy efficiency, low data rates and uncoordinated access [3].”
BackgroundEfficient Multiuser Detection for Uplink Grant-Free NOMA via Weighted Block Coordinate Descend
Gao, P., Zhu, J., Chen, G., Liu, Z., Xiao, P., & Foh, C. H. (2023) · IEEE International Conference on Communications workshops · doi:10.1109/iccworkshops57953.2023.10283531 · Cited by 1
“M Assive machine-type communication (mMTC) is expected to provide ubiquitous connectivity for a plethora of Internet-of-Things (IoT) applications [1].”
BackgroundSimulation and Analysis of the Code Domain NOMA with UFMC for 5G Wireless Networks
Jolania, S., Sindal, R., & Saxena, A. (2024) · Electrical Control and Communication Engineering · doi:10.7250/ecce-2024-0001 · Cited by 1
“Another use case is massive machine-type communications (mMTC), where huge number of devices with small data packets is connected [5].”
BackgroundAn, C., & Ryu, H. (2020) · The Journal of Korean Institute of Electromagnetic Engineering and Science · doi:10.5515/kjkiees.2020.31.3.281 · Cited by 1
“mMTC 시나리오는초 다수의장치에대해효과적인 통신 을 지원하는 것을 목표로 한다([4]).”
Deep Learning based Efficient Trajectory Planning and Sharing for Aerial Cells in mMTC Networks
Vrind, T., Rao, S., Pathak, L., & Das, D. (2021) · IEEE World Forum on Internet of Things (WF-IoT) · doi:10.1109/wf-iot51360.2021.9595576 · Cited by 1
Ultra-Wide Band (10 GHz Bandwidth) Microstrip Patch Antenna for Millimeter Wave - 5G Applications
Rehman, T. U., & Muqarrab, N. (2022) · International Journal of Advanced engineering Management and Science · doi:10.22161/ijaems.84.1 · Cited by 1
Repetition with Learning Approaches in Massive Machine Type Communications
Chen, L., Ho, C.-H., Chen, C., Liang, Y., & Kuo, S. (2022) · Electronics · doi:10.3390/electronics11223649 · Cited by 1
Singular Direction-Based Quantizer and Receiver Designs for User Cooperative Distributed Reception
Song, J., Hyun, S.-H., Kim, K.-W., Yoon, Y.-J., Park, J., Lee, M., Lee, J.-H., & Kim, S.-C. (2022) · IEEE Systems Journal · doi:10.1109/jsyst.2022.3229319 · Cited by 1
“Future mobile communication systems would need to simultaneously support various transmission scenarios, e.g., conventional cellular communications between the base station and mobile devices as well as machine-type communications between devices [2], [3].”
BackgroundOverview of 5G+ Industrial Internet
Fan, R. (2022) · Advances in Social Science, Education and Humanities Research/Advances in social science, education and humanities research · doi:10.2991/978-2-494069-31-2_120 · Cited by 1
Renna, R. B. D., & de Lamare, R. C. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2103.04486 · Cited by 1
“…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].”
BackgroundPerformance of Massive MIMO with Interference Decoding
Motlagh, M. S. (2021) · Cited by 1
Grant-Free Random Access in Massive MIMO for Static Low-Power IoT NodesPreprint
Callebaut, G., der Perre, L. V., & Rottenberg, F. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2110.07927 · Cited by 1
“IoT – and more specifically LPWAN – technologies are often put in the field with a deploy-and-forget strategy, where the devices remain immobile afterwards.”
InfluentialAnálisis de Modelos de Negocio para Operadores de Redes 5G Soportados por Network Slicing
Moreno-Cardenas, E. (2024) · doi:10.4995/thesis/10251/206184 · Cited by 1
Sarband, N. M., Becirovic, E., Krysander, M., Larsson, E. G., & Gustafsson, O. (2021) · IEEE Open Journal of Circuits and Systems · doi:10.1109/ojcas.2020.3043643
ICT Requirements and Recent Developments
Dorsch, N., Böcker, S., & Wietfeld, C. (2019) · Elsevier eBooks · doi:10.1016/b978-0-08-102592-5.00012-0
An Approach to Improve Reliability of Vital Signs Monitoring
Pencheva, E. N., Markova, V. I., Atanasov, I. I., & Ganchev, T. D. (2019) · International Conference on Biomedical Innovations and Applications (BIA) · doi:10.1109/bia48344.2019.8967467
“5G mMTC refers to connected sensors, devices, and analytic platforms [1], [2].”
BackgroundAchievability Bounds for Massive Random Access in the Gaussian MAC with Delay Constraints
Burkov, A. A., Frolov, A., Rybin, P. S., & Turlikov, A. M. (2019) · International Symposium on Problems of Redundancy in Information and Control Systems (REDUNDANCY) · doi:10.1109/redundancy48165.2019.9003323
“Communication standards currently being developed (for example, the fifth generation mobile communication standard 5G [1] [2]), suggest support for the use of massive machinetype communications (mMTC) [3] [4].”
BackgroundNeural Network Based AMP Method for Multi-User Detection in Massive Machine-Type Communication
Sun, M., & Chen, P. (2020) · Electronics · doi:10.3390/electronics9081286
“Introduction With the rapid growth in the number of wireless connected machines, massive machine-type communications (mMTC) [1,2] have been listed as one of the three main use cases in the fifth-generation (5G) cellular technologies road map [3].”
BackgroundData-aided Sensing for Gaussian Process Regression in IoT SystemsPreprint
Choi, J. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2011.11725
“, WSN for monitoring high frequency events in [10]), which may be crucial in MTC when there are a large number of sensors [11].”
BackgroundOrtiz, A., & Barragán-Yani, D. (2021) · arXiv (Cornell University)
Optimizing the Switching Speed of the Current Probe Utilizing the FPGA for Input Signal Processing
Mikulasek, M., Mašek, P., Štůsek, M., Novák, L., Možný, R., & Hošek, J. (2021) · International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT) · doi:10.1109/icumt54235.2021.9631579
Hasan, S. M., Mahata, K., & Hyder, M. M. (2021) · doi:10.36227/techrxiv.17091560.v1
Hasan, S. M., Mahata, K., & Hyder, M. M. (2021) · doi:10.36227/techrxiv.17091560
Hasan, S. M., Mahata, K., & Hyder, M. M. (2021) · doi:10.36227/techrxiv.17091560.v2
Hasan, S. M., Mahata, K., & Hyder, M. M. (2021) · SSRN Electronic Journal · doi:10.2139/ssrn.3976866
Takyu, O., Kobayashi, G., Adachi, K., Ohta, M., & Fujii, T. (2022) · Sensors · doi:10.3390/s22114140
“The wireless sensor networks constructed by the cellular system, such as massive machine-type communications for 5G [3] and narrowband IoT [4], are also attracting attention.”
BackgroundGao, Z., Ke, M., Qiao, L., & Mei, Y. (2022) · Springer eBooks · doi:10.1007/978-981-19-2704-1_1
Chen, H., Wen, J., Hua, J., Ni, Z., Li, F., & Zou, Y. (2022) · International Journal of Communication Systems · doi:10.1002/dac.5285
Seçgin, S. (2023) · Wiley eBooks · doi:10.1002/9781394182343.ch11
One-Shot Messaging at Any Load Through Random Sub-Channeling in OFDM
Wunder, G., Flinth, A., & Groß, B. (2023) · IEEE Transactions on Information Theory · doi:10.1109/tit.2023.3283063
“A comprehensive overview of competitive approaches within 5G can be found in [17].”
BackgroundSelf-citationIndonesia, U., Wicaksono, K. N. P., Apriono, C., & Indonesia, U. (2023) · Matrix Jurnal Manajemen Teknologi dan Informatika · doi:10.31940/matrix.v13i2.80-93
Power Allocation in an Uplink Sparse Code Multiple Access with Target Bit Error RatesPreprint
Ghani, B., Launay, F., Perrine, C., Mendiboure, L., Dulout, R., & Pousset, Y. (2023) · doi:10.36227/techrxiv.23979117
Prediction and Classification for Smart Grid Applications
Adhikari, M. S., & Alkhayyat, A. H. (2023) · Intelligent systems reference library · doi:10.1007/978-3-031-46092-0_6
Tang, X., Li, L., Wang, Q., Zhang, X., & Hao, L. (2024) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2024.3404936
“Because UEs transmit their data packets after the pream-bles immediately without uplink grants, GFRA [11], [12] can effectively solve the drawbacks of complex signaling interaction in GBRA.”
Self-citationA Study on a Code Assisted Based Blind Timing Synchronization Technique for Short Data Packets
Wang, Z., Song, G., Dou, G., Wang, H., Zhang, Y., & Xiu, M. (2024) · International Conference on Communications, Circuits and Systems · doi:10.1109/icccas62034.2024.10652746
“Currently, wireless communication technologies driven by faster transmission rates are struggling to cope with 5G [1] and subsequently 6G [2] A-IoT data communication requirements [3].”
BackgroundYuan, H., Ma, C., Yang, K., & Peng, T. (2024) · IEEE/CIC International Conference on Communications in China (ICCC) · doi:10.1109/iccc62479.2024.10681711
“It allows the connection of a large number devices and reduction of the need for manual intervention in Internet of Things (IoT) networks [1, 2].”
BackgroundHirai, T., Komuro, N., & Wakamiya, N. (2024) · IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) · doi:10.1109/smartgridcomm60555.2024.10738108
“Such packets include short-size [2] and long-sized ones [3].”
BackgroundHan, R., Wang, J., Bai, L., & Liu, J. (2024) · doi:10.1002/9781394183111.refs
A Flexible Scheme for Critical mMTC
Mirri, A., Forlivesi, D., Schiavone, R., Garello, R., Chiani, M., & Paolini, E. (2024) · IEEE International Forum on Research and Technology for Society and Industry (RTSI) · doi:10.1109/rtsi61910.2024.10761264
“…of IoT in several application domains (e.g., smart factories, smart grid and metering, autonomous driving, public health), the expression massive machine-type communications (mMTC) has been coined to refer to situations where the density of connected devices becomes extremely large [3]–[5].”
SliceGuard: Secure and Dynamic 5G RAN Slicing with WebAssembly
Cannatà, R., Gong, A., Maghsoudnia, A., Dumitriu, D. M., & Hassanieh, H. (2024) · ACM Annual International Conference on Mobile Computing and Networking (MobiCom) · doi:10.1145/3636534.3698862
Evaluation of Throughput and BLER in the 5G Communication System Having AWGN Channel
Ray, J. K., Khatua, S., Tabassum, F., Ghorai, R., Alfred, Q. M., Mondal, S. A., Pit, M., Bera, R., & Sharma, B. (2024) · Lecture notes in networks and systems · doi:10.1007/978-981-97-6992-6_37
Probabilistic Density Evolution Analysis of IRSA
Liu, J., Chen, P., Shieh, S.-L., & Huang, Y.-C. (2024) · International Symposium on Information Theory and its Applications · doi:10.23919/isita60732.2024.10858221
Robust Activity Detection for Massive Access using Covariance-based Matching Pursuit
Wang, X., Ollila, E., & Vorobyov, S. A. (2025) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp49660.2025.10889433
“Unlike traditional communication systems, mMTC is characterized by high device density and sporadic transmission patterns, where only a small subset of devices is active when triggered by external events [2], [3].”
Network Longevity of the Internet of Things
Wang, M. M., Zhang, J., & You, X. (2025) · IEEE Internet of Things Journal · doi:10.1109/jiot.2025.3549364
“…the battery’s energy to be used at its optimum to ensure the longevity of the mMTC network (e.g., from several years to tens of years [5], [6], [7]) becomes the key enabler of mIoT networking characterized by low cost, low maintenance, and long life expectancy [8], [9], [10], [11], [12], [13],…”
Li, S., Cui, Z., Song, Y., Tang, Z., Cui, X., & Liu, J. (2025) · Physical Communication · doi:10.1016/j.phycom.2025.102697
Blind Multimodulus Equalization in MIMO Systems via Majorization-Minimization
Liu, J., Li, Y., & Sun, X. (2025) · IEEE Wireless Communications Letters · doi:10.1109/lwc.2025.3605629
A Graph-Based Theoretical Framework and Performance Analysis of Pattern Division Random Access
Pang, L., Wang, P., Li, H., Wang, X., Li, L., & Dai, X. (2025) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2025.3608441
“To this end, the massive multiple-input multiple-output (MIMO)-assisted grant-free random access (GFRA) paradigm offers a promising solution for mURLLC [4].”
Power Allocation in an Uplink Sparse Code Multiple Access with Target Bit Error RatesPreprint
Ghani, B., Launay, F., Perrine, C., Mendiboure, L., Dulout, R., & Pousset, Y. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5763707
Network Slicing and Stand Alone 5G Architectures: Paving the Way for Smart Cities and IoT
Alwakeel, A. M. (2025) · IEEE International Conference on Electronics Information and Emergency Communication · doi:10.1109/iceiec65904.2025.11273151
DDPG-Based Delay-Aware Dynamic ACB Access Control for mMTC in Massive MIMO Networks
Han, H., Huang, Z., Yu, H., Lu, W., Zhai, W., & Li, Y. B. (2025) · IEEE Internet of Things Journal · doi:10.1109/jiot.2025.3647233
“The fifth-generation (5G) and beyond 5G (B5G) wireless networks have defined a massive machine-type communication (mMTC) scenario to support IoT, characterized by the presence of a large number of devices, small data packets, intermittent transmissions, and diverse latency requirements [5], [6].”
Ray, J. K., Khatua, S., Alfred, Q. M., Limon, A. L., Tabassum, F., Ahmed, I., Bera, R., Ghorai, R., Mondal, S. A., Shee, R., et al. (2026) · Lecture notes in networks and systems · doi:10.1007/978-981-95-3671-9_2
Enabling Massive Connectivity Through Non-linear Processing in Non-orthogonal Wireless Systems
Katsaros, G. N., Filo, M., Jayawardena, C., & Nikitopoulos, K. (2025) · IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN) · doi:10.1109/nfv-sdn66355.2025.11349424
“However, emerging use cases such as industrial IoT, and vehicular communications shift the focus to massive connectivity, where thousands of transmitted devices must be simultaneously served [1].”
Securing NB-IoT Uplink Using Chaotic Phase-Transformed Sequences
Siva Rama Krishna, M., Balasubramanya, N. M., & Shrikanth, V. (2026) · IEEE Internet of Things Journal · doi:10.1109/jiot.2026.3663640
“According to the findings in [49], which were in turn based on the 3GPP technical report [50], in a typical massive machine type communication (mMTC) scenario, there are 120 uplink communication requests per second.”
Razzaque, A. B. A., & Baiocchi, A. (2026) · Ad Hoc Networks · doi:10.1016/j.adhoc.2026.104176
Density Evolution Analysis of Structured IRSA With Multi-Packet Reception and Orthogonal Pilots
Mirri, A., & Paolini, E. (2026) · IEEE Communications Letters · doi:10.1109/lcomm.2026.3672440
“G RANT-FREE random access is a key enabler of massive machine-type communications (mMTC), where numerous devices sporadically transmit short packets to a central base station (BS) without prior scheduling [1], [2].”
Performance Analysis of Multi-UAV-Aided NB-IoT Communication System
Siva Rama Krishna, M., & Balasubramanya, N. M. (2026) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2026.3673845
“According to the findings in [56], which were in turn based on the 3GPP technical report [40], in a typical mMTC scenario, Authorized licensed use limited to the terms of the applicable license agreement with IEEE.”
The uplink reception and downlink transmission in MU-MIMO for 5G
Askri, A. (2021) · theses.fr (ABES) · doi:10.70675/c99d9c8fz1309z41c5zb7f6zcfcb1190a1ea
Reinforcement Learning for Uncoordinated Multiple Access
Robaglia, B.-M. (2024) · theses.fr (ABES) · doi:10.70675/08ed61cdzb5a5z4c2az9f76z431c4c92727d
The Role of Crowd-Sensing Technologies in Urban Digital Twins
Ardakani, S. P., & Al-Khafajiy, M. (2025) · Urban sustainability · doi:10.1007/978-981-95-6358-6_8
Kaura, Y., Lall, B., Mallik, R. K., & Singhal, A. (2026) · IEEE Transactions on Green Communications and Networking · doi:10.1109/tgcn.2026.3727486
“Recent research [7] proposes an enhanced GF scheme such that multi-packet reception can be enabled by leveraging sophisticated technologies with GF transmissions, such as non-orthogonal multiple access (NOMA) [8] and multiple-input multiple-output (MIMO) [9].”
Reinforcement learning for dense non-orthogonal random access (NORA) networks
Duong, T., Anderson, M., & Wiśniewska, A. (2026) · IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) · doi:10.1109/pimrc69400.2026.11711594
“The 5G standard lists massive machine-type communication (mMTC) as one of its core services and is estimated to support up to 10 6 devices per square kilometer [3].”
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
