Accurate Performance Modeling of Uplink Transmission in NB-IoT

Li, Huikang; Chen, Gonglong; Wang, Yihui; Gao, Yi; Dong, Wei

doi:10.1109/padsw.2018.8644571

Cited by 14 publications

(7 citation statements)

References 9 publications

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“…The RA procedure is always contention-based, and there are four procedures as demonstrated in Figure 8. The first step begins with the preamble signal transmission (Msg1) to the eNB to initiate the RA [88]. If there are multiple UEs with the same subscriber sending preamble signals, the preamble sequences will collide, and the eNB is yet to be aware of the situation.…”

Section: A Nb-iot Channel Communicationmentioning

confidence: 99%

“…The UE can attempt for the relatively configured number of 200 before declaring the RA failure. After the RRC link has been secured, the core network commences the transmission of DL information, also known as NAS service data for mobile terminated (MT) DL data-packet communication [88], [87].…”

Section: A Nb-iot Channel Communicationmentioning

confidence: 99%

“…RA procedures and data transmission for UL transmission in NB-IoT[88]. Republished with IEEE permission from "Accurate performance modeling of uplink transmission in NB-IoT," H. Li, G. Chen, Y. Wang, Y. Gao, and W. Dong, pp.…”

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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: A Nb-iot Channel Communicationmentioning

confidence: 99%

Section: A Nb-iot Channel Communicationmentioning

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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“…Additionally, an analysis of transmission latency and reliability is presented in ref. [23], showcasing mathematically the performance of up-link and its detriment to up-link sensitive applications.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimising Performance for NB-IoT UE Devices through Data Driven Models

Nassef

Mahmoodi

Michelinakis

et al. 2021

JSAN

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This paper presents a data driven framework for performance optimisation of Narrow-Band IoT user equipment. The proposed framework is an edge micro-service that suggests one-time configurations to user equipment communicating with a base station. Suggested configurations are delivered from a Configuration Advocate, to improve energy consumption, delay, throughput or a combination of those metrics, depending on the user-end device and the application. Reinforcement learning utilising gradient descent and genetic algorithm is adopted synchronously with machine and deep learning algorithms to predict the environmental states and suggest an optimal configuration. The results highlight the adaptability of the Deep Neural Network in the prediction of intermediary environmental states, additionally the results present superior performance of the genetic reinforcement learning algorithm regarding its performance optimisation.

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“…D Beyene et al [31] investigated the frequency domain channel estimation and equalization technique based on the least square (LS) estimation approach. Author in [32] studied the uplink receiver algorithm for both NPUSCH and NPRACH channels in uplink NB-IoT systems, while [33], [34] studied the data scheduling and estimation approach for NPUSCH, respectively. Authors in [35] proposed a joint channel estimation and repetition combining method to obtain better estimation precision over the conventional LS approach.…”

Section: Related Workmentioning

confidence: 99%

An Efficient Polar Coding Scheme for Uplink Data Transmission in Narrowband Internet of Things Systems

et al. 2020

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Narrowband Internet of Things (NB-IoT) is an emerging IoT cellular-based wireless technology that builds based on the existing LTE standard to extend its network coverage suited for Low Power Wide Area Network (LPWAN) connectivity. In the NB-IoT system, LTE turbo codes and Cyclic Redundancy Check (CRC) codes are adopted as the main channel coding technique for Narrowband Physical Uplink Shared Channel (NPUSCH). However, turbo codes require iterative decoding algorithm at the expense of high computation complexity of decoding hence is crucial to achieving the LPWAN requirement of NB-IoT systems. Polar codes are best suited in this regard due to its capacity approaching and complexity reduction in short block length code. In this paper, we proposed an efficient polar coding technique using the Belief Propagation (BP) decoding algorithm for uplink data transmission on the NPUSCH channel. Furthermore, the BP algorithm is incorporated with the CRC stoppage criterion to decrease the number of decoding iteration and reduce computational complexity. In this scheme, singletone numerology of NPUSCH using 3.75 kHz and 15 kHz subcarrier spacing is adopted. Then, the encoded data is generated with different NPUSCH resources. The theoretical formulation and simulation demonstrate that the proposed scheme provides better error rate performance over the adopted LTE turbo codes and other polar decoding algorithms while reducing the computational complexity. INDEX TERMS Narrowband IoT (NB-IoT), BP polar decoding algorithm, Narrowband Physical Uplink Shared Channel (NPUSCH), cyclic redundancy check (CRC), block error rate (BLER).

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Accurate Performance Modeling of Uplink Transmission in NB-IoT

Cited by 14 publications

References 9 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

Optimising Performance for NB-IoT UE Devices through Data Driven Models

An Efficient Polar Coding Scheme for Uplink Data Transmission in Narrowband Internet of Things Systems

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