Coverage and Capacity Analysis of LTE-M and NB-IoT in a Rural Area

Lauridsen, Mads; Kovács, István Z.; Mogensen, Preben; Sørensen, Mads Peter; Holst, Steffen

doi:10.1109/vtcfall.2016.7880946

Cited by 152 publications

(78 citation statements)

References 4 publications

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“…They are based on the path loss estimates for the urban areas of Northern Denmark, combined with the MCL and time on air of Sigfox and LoRaWAN. The path loss calculations are made for outdoor positions, but additional losses of 10, 20 and 30 dB are added to account for outdoor-to-indoor penetration losses in buildings [7]. Finally, the modeled interference is included to determine the impact on coverage and capacity,…”

Section: Resultsmentioning

confidence: 99%

“…The simulation method is aligned with the work described in [7]. Using the simulated coupling loss it is then determined whether the devices are in coverage or not based on the link budget, described in the following subsection.…”

Section: System Level Modeling and Measurementsmentioning

confidence: 99%

“…There are only a few papers available, and while they provide insight in the individual technologies they do not analyze the impact from external interference sources. Examples include the analysis of the basic performance of LoRa [5], [6], and NB-IoT [7].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Interference Impact on Coverage and Capacity for Low Power Wide Area IoT Networks

Vejlgaard

Lauridsen

Nguyen

et al. 2017

2017 IEEE Wireless Communications and Networking Conference (WCNC)

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Section: Resultsmentioning

confidence: 99%

Section: System Level Modeling and Measurementsmentioning

confidence: 99%

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Interference Impact on Coverage and Capacity for Low Power Wide Area IoT Networks

Vejlgaard

Lauridsen

Nguyen

et al. 2017

2017 IEEE Wireless Communications and Networking Conference (WCNC)

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“…In addition, [9] studied NB-IoT coverage and capacity for a small rural area with real operator-deployed base stations. However, to the best of the authors' knowledge there are no studies comparing the performance of the four key wireless IoT candidates in a realistic scenario.…”

Section: Introductionmentioning

confidence: 99%

Coverage Comparison of GPRS, NB-IoT, LoRa, and SigFox in a 7800 km² Area

Lauridsen

Nguyen²,

Vejlgaard

et al. 2017

2017 IEEE 85th Vehicular Technology Conference (VTC Spring)

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136

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Abstract-In this simulation work the coverage of GPRS, Narrowband-IoT, LoRa, and SigFox is compared in a realistic scenario, covering 7800 km 2 and using Telenor's commercial 2G, 3G, and 4G deployment. The target is to evaluate which of the four technologies provides the best coverage for Internet of Things devices, which may be located deep indoor.The results show that Narrowband-IoT, having the best Maximum Coupling Loss performance of 164 dB, also provides the best coverage. This is despite the fact that LoRa and SigFox deployments with omnidirectional antennas are found to provide 3 dB lower link loss on average. In the deployment 11 % of the geographical area contains devices, located both in rural and urban areas. The NB-IoT has an outage below 1 % for locations experiencing 20 dB indoor penetration loss in addition to the outdoor path loss. SigFox performs similarly, while LoRa cannot provide coverage for 2 % of those locations. For the challenging deep indoor case, where 30 dB additional penetration loss is expected, NB-IoT has 8 % outage while SigFox and LoRa is unable to cover 13 % and 20 % of the locations.The four technologies may not be deployed at all existing site locations and therefore the work also includes a study of the coverage as a function of the minimum Inter-Site Distance, where sites closer than 2, 4, and 6 km are filtered out. The results show that SigFox and NB-IoT have outage probabilities below 5 % even though sites closer than 4 km are removed from the simulations.

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“…In [10], a use-case, in which the LTE-M technology is expected to fulfill the M2M requests efficiently with a cutoff point of 80K devices per sector for an interval of 4 upload and 4 download transfers per day (with full security) in normal scenarios.…”

Section: Case Studymentioning

confidence: 99%

LTE-M adaptive eNodeB for emergency scenarios

Fawal¹,

Mansour²,

Najem³

et al. 2017

2017 International Conference on Information and Communication Technology Convergence (ICTC)

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Abstract-The next generation of mobile systems must provide a balancing strategy towards M2M (Machine-to-Machine) traffic, while maintaining a sustainable Quality of Service (QoS) for H2H (Human-to-Human) traffic, especially with the expected exponential growth of the number of M2M devices in the coming years carried by the advance of the IoT (Internet of Things) technology. In normal situations, it is obvious that using a 1.4 MHz bandwidth in Long Term Evolution for Machines (LTE-M), helps in improving M2M device complexity, cost and battery life effectively. However, in emergency scenarios, an expected M2M storm will lead inevitably to a fast resource depletion accompanied by an eNodeB congestion in a split second. In this manuscript, we propose a novel scheme "LTE-M Adaptive eNodeB", which gradually solves the eNodeB overload problem, while keeping the H2H traffic QoS not to be affected badly. Moreover, We adaptively manage network resources to allow both traffic to efficiently access the LTE network via SimuLTE opensource modeler. Eventually, an evaluation of the mutual impact of M2M and H2H coexistence is also presented.

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Coverage and Capacity Analysis of LTE-M and NB-IoT in a Rural Area

Cited by 152 publications

References 4 publications

Interference Impact on Coverage and Capacity for Low Power Wide Area IoT Networks

Interference Impact on Coverage and Capacity for Low Power Wide Area IoT Networks

Coverage Comparison of GPRS, NB-IoT, LoRa, and SigFox in a 7800 km² Area

LTE-M adaptive eNodeB for emergency scenarios

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