Evaluation, Modeling and Optimization of Coverage Enhancement Methods of NB-IoT

Ravi, Sahithya; Zand, Pouria; Soussi, Mohieddine El; Nabi, Majid

doi:10.1109/pimrc.2019.8904109

Cited by 20 publications

(15 citation statements)

References 13 publications

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“…More importantly, the author has not included the study of the maximum achievable throughput of the proposed system when compared with the terrestrially deployed NB-IoT. In [117], the author suggests an optimal hybrid link adaptation strategy based on repetition, bandwidth, and modulation and the coding scheme to enhance the coverage capacity of NB-IoT by using an NS-3 simulator. The implementation involves optimized problem formulation with an objective function based on the latency, and constrained-based signal-to-noise ratio (SNR).…”

Section: G Coverage Enhancementmentioning

confidence: 99%

“…The limitation of the approach lies in its unsuitability for NB-IoT modeling as it does not deal with device density, physical network design and coverage overlap. The recent simulation tools such as OPNET, NS-3, OMNeT and MATLAB are employed in [126], [117], [132], and [128] to understand and model the NB-IoT network. However, simulation tools that would validate design choices and disclose unexpected behaviors before actual system deployment are still missing.…”

Section: K Simulation and Evaluationmentioning

confidence: 99%

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Building Upon NB-IoT Networks: A Roadmap Towards 5G New Radio Networks

Hancke

Abu‐Mahfouz

2020

IEEE Access

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Narrowband Internet of Things (NB-IoT) is a type of low-power wide-area (LPWA) technology standardized by the 3 rd-Generation Partnership Project (3GPP) and based on long-term evolution (LTE) functionalities. NB-IoT has attracted significant interest from the research community due to its support for massive machine-type communication (mMTC) and various IoT use cases that have stringent specifications in terms of connectivity, energy efficiency, reachability, reliability, and latency. However, as the capacity requirements for different IoT use cases continue to grow, the various functionalities of the LTE evolved packet core (EPC) system may become overladen and inevitably suboptimal. Several research efforts are ongoing to meet these challenges; consequently, we present an overview of these efforts, mainly focusing on the Open System Interconnection (OSI) layer of the NB-IoT framework. We present an optimized architecture of the LTE EPC functionalities, as well as further discussion about the 3GPP NB-IoT standardization and its releases. Furthermore, the possible 5G architectural design for NB-IoT integration, the enabling technologies required for 5G NB-IoT, the 5G NR coexistence with NB-IoT, and the potential architectural deployment schemes of NB-IoT with cellular networks are introduced. In this article, a description of cloud-assisted relay with backscatter communication, a comprehensive review of the technical performance properties and channel communication characteristics from the perspective of the physical (PHY) and medium-access control (MAC) layer of NB-IoT, with a focus on 5G, are presented. The different limitations associated with simulating these systems are also discussed. The enabling market for NB-IoT, the benefits for a few use cases, and possible critical challenges related to their deployment are also included. Finally, present challenges and open research directions on the PHY and MAC properties, as well as the strengths, weaknesses, opportunities, and threats (SWOT) analysis of NB-IoT, are presented to foster the prospective research activities.

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Section: G Coverage Enhancementmentioning

confidence: 99%

Section: K Simulation and Evaluationmentioning

confidence: 99%

Building Upon NB-IoT Networks: A Roadmap Towards 5G New Radio Networks

Hancke

Abu‐Mahfouz

2020

IEEE Access

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“…In [11], improved coding gain by means of utilizing a priori known bits in the receiver is shown to improve the effective signal-to-noise ratio (SNR) of the physical broadcast channel (PBCH) and thus the corresponding detection performance. In time-domain, coverage enhancement may be acquired by repetitions [12], however, when applying time repetition, the power consumption of the device typically increases. Also frequency-domain based solutions may be used, such as inter or intra-slot frequency hopping [13].…”

Section: A State-of-the-artmentioning

confidence: 99%

Enhanced Uplink Coverage for 5G NR: Frequency-Domain Spectral Shaping With Spectral Extension

Nasarre

Levanen

Pajukoski

et al. 2021

IEEE Open J. Commun. Soc.

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This paper describes and investigates a novel concept of frequency-domain spectral shaping (FDSS) with spectral extension for the uplink (UL) coverage enhancement in 5G New Radio (NR), building on discrete Fourier transform spread orthogonal frequency-domain multiplexing (DFT-s-OFDM). The considered FDSS concept is shown to have large potential for reducing the peak-to-average-power ratio (PAPR) of the signal, which directly impacts the feasible maximum transmit power under practical nonlinear power amplifiers (PAs) while still meeting the radio frequency (RF) emission requirements imposed by the regulations. To this end, the FDSS scheme with spectral extension is formulated, defining filter windows that fit to the 5G NR spectral flatness requirements. The PAPR reduction capabilities and the corresponding maximum achievable transmit powers are evaluated for a variety of bandwidth allocations in the supported 5G NR frequency ranges 1 and 2 (FR1 and FR2) and compared to those of the currently supported waveforms in 5G NR, particularly π/2-BPSK with FDSS without spectral extension and QPSK without FDSS. Furthermore, an efficient receiver structure capable of reducing the noise enhancement in the equalization phase is proposed. Finally, by evaluating the link-level performance, together with the transmit power gain, the overall coverage enhancement gains of the method are analyzed and provided. The obtained results show that the spectrally-extended FDSS method is a very efficient solution to improve the 5G NR UL coverage clearly outperforming the state-of-the-art, while being also simple in terms of computational complexity such that the method is implementation feasible in practical 5G NR terminals.

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“…This section mainly describes the overall structure of the experimental model, including the basic components of the experiment and the running procedure. We describe the basic common model of the three experiments, followed by the enhancements of the three experiments under the common model [40]. Figure 2 presents the basic architecture of the experimental model.…”

Section: Model Establishmentmentioning

confidence: 99%

Analysis of the Effect of the Reliability of the NB-Iot Network on the Intelligent System

Jia

Zhu

et al. 2019

IEEE Access

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With the rapid development of the Internet of Things (IoT) in recent years, the popularization of different segments of IoT has emerged. The IoT technology is slowly evolving toward intelligence, convenience, low power consumption, large connectivity, and wide coverage. This evolution is significantly attributed to the emergence of Narrowband of Internet of Thing (NB-IoT). NB-IoT is an emerging technology with wide-coverage, large-connection, low-power consumption, and low-costs. The intelligent system based on NB-IoT, an important branch of the IoT field, has various functions and is widely used. However, the intelligent system based on NB-IoT also generates reliability problems, caused by hardware, software, and networks. Therefore, this study deeply evaluates the impact of the NB-IoT network on the reliability of IoT intelligent systems. We simulated the real-world scenario by using the ns-3 simulator, and then carried out several data transmission experiments and recorded the relevant data of transmission performance indicators, finally calculated and analyzed the reliability results by using quantitative reliability indicators. The three main experiments respectively change the transmission distance of the NB-IoT signal, increase the access amount of the NB-IoT signal in the system, and increase the obstacles in the transmission path. The experimental results are represented by the signal-to-interference ratio (SINR), throughput rate, packet loss rate, and correct rate of the received data block and loss. Finally, we verify the impact of the NB-IoT network on system reliability on the basis of the experimental results.

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Evaluation, Modeling and Optimization of Coverage Enhancement Methods of NB-IoT

Cited by 20 publications

References 13 publications

Building Upon NB-IoT Networks: A Roadmap Towards 5G New Radio Networks

Building Upon NB-IoT Networks: A Roadmap Towards 5G New Radio Networks

Enhanced Uplink Coverage for 5G NR: Frequency-Domain Spectral Shaping With Spectral Extension

Analysis of the Effect of the Reliability of the NB-Iot Network on the Intelligent System

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