@article{MTMT:32200663,
	title = {Method for handling massive IoT traffic in 5G networks},
	url = {https://m2.mtmt.hu/api/publication/32200663},
	author = {Marwat, S.N.K. and Mehmood, Y. and Khan, A. and Ahmed, S. and Hafeez, A. and Kamal, T. and Khan, A.},
	doi = {10.3390/s18113966},
	journal-iso = {SENSORS-BASEL},
	journal = {SENSORS},
	volume = {18},
	unique-id = {32200663},
	abstract = {The ever-growing Internet of Things (IoT) data traffic is one of the primary research focuses of future mobile networks. 3rd Generation Partnership Project (3GPP) standards like Long Term Evolution-Advanced (LTE-A) have been designed for broadband services. However, IoT devices are mainly based on narrowband applications. Standards like LTE-A might not provide efficient spectrum utilization when serving IoT applications. The aggregation of IoT data at an intermediate node before transmission can answer the issues of spectral efficiency. The objective of this work is to utilize the low cost 3GPP fixed, inband, layer-3 Relay Node (RN) for integrating IoT traffic into 5G network by multiplexing data packets at the RN before transmission to the Base Station (BS) in the form of large multiplexed packets. Frequency resource blocks can be shared among several devices with this method. An analytical model for this scheme, developed as an r-stage Coxian process, determines the radio resource utilization and system gain achieved. The model is validated by comparing the obtained results with simulation results. © 2018 by the authors. Licensee MDPI, Basel, Switzerland.},
	keywords = {Analytical model; Mobile telecommunication systems; Queueing networks; Analytical models; Internet of Things (IOT); IoT; Internet of Things; 5G; 5G mobile communication systems; Spectral efficiencies; Long term evolution (LTE); Intermediate node; Spectrum utilization; R-stage Coxian process; Resource block; Resource block; 3rd generation partnership project (3GPP); Broadband service; Frequency resources},
	year = {2018},
	eissn = {1424-8220}
}