NB-IoT Uplink Receiver Design and Performance Study

Chakrapani, Arvind

doi:10.1109/jiot.2019.2957641

Cited by 24 publications

(36 citation statements)

References 8 publications

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“…Resource management & Scheduling [25]- [27] V Synchronization [28]- [37] III.A Uplink demodulation [38]- [47] IV.A & IV.B Downlink demodulation [48]- [53] IV.B Energy Saving [54]- [57] V.H & VI.B Positioning [58]- [60] VI.A Challenges & perspectives [17], [20]- [22], [61]- [64] I Release 13 [65]- [77] I to V 3GPP references Release 14 [78]- [85] VI.A Release 15 [86]- [92] I & VI.B…”

Section: Topicsmentioning

confidence: 99%

“…This frequency offset is illustrated in Fig. 17 (an example of a frequency offset estimator for NB-IoT can be found in [38]). In the second step, the eNB estimates the delay δt between the expected time of arrival and the actual one.…”

Section: A Receiver Design At Enbmentioning

confidence: 99%

“…In fact, the binary processes are exactly symmetric (i.e., descrambling, channel deinterleaving, etc.). However, additional blocks are required to overcome the disruptions due to the propagation channel and the possible radio frequency impairments [38]. These blocks perform what is commonly known as channel estimation and equalization, and are essential to the receiver chain to ensure better decoding of the received information.…”

Section: A Receiver Design At Enbmentioning

confidence: 99%

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A Tutorial on NB-IoT Physical Layer Design

Kanj¹,

Savaux²,

Guen³

2020

IEEE Commun. Surv. Tutorials

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The Internet of things (IoT) is transforming the whole of society. It represents the next evolution of the Internet and will significantly improve the ability to gather and analyze data, as well as the ability to control devices remotely. In this respect, the usage of connected devices is continuously growing with the expansion of the applications being offered to individuals and industries. To address IoT market needs, many low-power wide-area (LPWA) technologies have been developed, some operating on licensed frequencies (e.g., narrowband-IoT [NB-IoT] and Long-Term Evolution-M [LTE-M]), and others on unlicensed frequencies (e.g., LoRa, Sigfox, etc.). In this paper, we address the Release 13 of the NB-IoT 3rd generation partnership project (3GPP) standardized LPWA technology and provide a tutorial on its physical layer (PHY) design. Specifically, we focus on the characteristics and the scheduling of downlink and uplink physical channels at the NB-IoT base station side and the user equipment (UE) side. The goal is to help readers easily understand the NB-IoT system without having to read all the 3GPP specifications or the state-of-the-art papers that generally describe the system. To this end, each presented concept is followed by examples and concrete use-cases to further aid in the reader's comprehension. Finally, we briefly describe and highlight the new features added to the NB-IoT system in Releases 14 and 15.

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Section: Topicsmentioning

confidence: 99%

Section: A Receiver Design At Enbmentioning

confidence: 99%

Section: A Receiver Design At Enbmentioning

confidence: 99%

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A Tutorial on NB-IoT Physical Layer Design

Kanj¹,

Savaux²,

Guen³

2020

IEEE Commun. Surv. Tutorials

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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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“…This is not a realistic assumption for practical scenarios, where CFO is present and impacts the signal-to-noise ratio (SNR). Moreover, the method has a processing delay that increases with the number of preamble repetitions leading to a less efficient real-time system as pointed out in [13]. Another relevant work that has been recently submitted for a publication is [13].…”

Section: Introductionmentioning

confidence: 99%

Efficient Preamble Detection and Time-of-Arrival Estimation for Single-Tone Frequency Hopping Random Access in NB-IoT

Chougrani

Kisseleff

Chatzinotas

2021

IEEE Internet Things J.

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The narrowband Internet-of-Things (NB-IoT) standard is a new cellular wireless technology, which has been introduced by the 3rd generation partnership project (3GPP) with the goal to connect massive low-cost, low-complexity and long-life IoT devices with extended coverage. In order to improve power efficiency, 3GPP proposed a new random access (RA) waveform for NB-IoT based on a single-tone frequency-hopping scheme. RA handles the first connection between user equipments (UEs) and the base station (BS). Through this, UEs can be identified and synchronized with the BS. In this context, receiver methods for the detection of the new waveform should satisfy the requirements on the successful user detection as well as the timing synchronization accuracy. This is not a trivial task, especially in the presence of radio impairments like carrier frequency offset (CFO) which constitutes one of the main radio impairments besides the noise. In order to tackle this problem, we propose a new receiver method for NB-IoT physical RA channel (NPRACH). The method is designed to eliminate perfectly the CFO without any additional computational complexity and supports all NPRACH preamble formats. The associated performance has been evaluated under 3GPP conditions. We observe a very high performance compared both to 3GPP requirements and to the existing state-of-the-art methods in terms of detection accuracy and complexity. Index Terms-3rd generation partnership project (3GPP), carrier frequency offset (CFO), frequency hopping, narrowband Internet of Things (NB-IoT), NB-IoT physical random access channel (NPRACH), random access (RA), Time of Arrival (ToA).

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NB-IoT Uplink Receiver Design and Performance Study

Cited by 24 publications

References 8 publications

A Tutorial on NB-IoT Physical Layer Design

A Tutorial on NB-IoT Physical Layer Design

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

Efficient Preamble Detection and Time-of-Arrival Estimation for Single-Tone Frequency Hopping Random Access in NB-IoT

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