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Deep Learning Based Packet Detection and Carrier Frequency Offset Estimation in IEEE 802.11ah [article]

Vukan Ninkovic, Aleksandar Valka, Dejan Dumic, Dejan Vukobratovic
2021 arXiv   pre-print
The distinctive feature of a majority of LBT-based systems is that the transmitters use preambles that precede the data to allow the receivers to perform packet detection and carrier frequency offset (  ...  Promising results have been presented, in particular, in the domain of deep learning (DL)-based channel estimation.  ...  ACKNOWLEDGMENT This work has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement number 856967.  ... 
arXiv:2004.11716v2 fatcat:xf5k27hddfgwpgqjkt3dhtauoe

Deep Learning Based Packet Detection and Carrier Frequency Offset Estimation in IEEE 802.11ah

Vukan Ninkovic, Aleksandar Valka, Dejan Dumic, Dejan Vukobratovic
2021 IEEE Access  
.: Deep Learning Based Packet Detection and Carrier Frequency Offset Estimation in IEEE 802.11ah FIGURE 14. MAE performance of different CFO algorithms for different received SNRs under AWGN channel.  ...  However, in most of the DL-based PHY studies, signal detection at the receiver that includes procedures that precede channel estimation, such as packet detection and carrier frequency offset (CFO) estimation  ... 
doi:10.1109/access.2021.3096853 fatcat:hasdswe7djfpnh77gg4535axne

Preamble-Based Packet Detection in Wi-Fi: A Deep Learning Approach [article]

Vukan Ninkovic, Dejan Vukobratovic, Aleksandar Valka, Dejan Dumic
2020 arXiv   pre-print
Following the recent interest in data-based deep learning (DL) methods for physical layer signal processing, in this paper, we challenge the conventional methods with DL-based approach for Wi-Fi packet  ...  Using one-dimensional Convolutional Neural Networks (1D-CNN), we present a detailed complexity vs performance analysis and comparison between conventional and DL-based Wi-Fi packet detection approaches  ...  In a companion paper, we investigated DL-based signal detection and carrier frequency offset (CFO) estimation in IEEE 802.11 systems, evaluating various DL architectures for packet detection and CFO estimation  ... 
arXiv:2009.05740v1 fatcat:3sh2sjoea5f6xlcrkd24egxiiy

Multi-band sub-GHz technology recognition on NVIDIA's Jetson Nano

Jaron Fontaine, Adnan Shahid, Robbe Elsas, Amina Seferagic, Ingrid Moerman, Eli De Poorter
2020 2020 IEEE 92nd Vehicular Technology Conference (VTC2020-Fall)  
In contrast to existing research that assesses technology recognition using machine learning on powerful graphics processing units, this work aims to propose a deep learning solution using convolutional  ...  neural networks, cheap software defined radios and efficient embedded platforms such as NVIDIA's Jetson Nano.  ...  Fig. 4 . 4 Spectrogram and amplitude plots of IEEE 802.11ah and IEEE 802.15.4g in the 864 MHz band showing the differences in packet length, sending interval and bandwidth.  ... 
doi:10.1109/vtc2020-fall49728.2020.9348566 fatcat:jd6pf425lne5nb6j7dzfbimiom

A Neural Network based Integer Frequency Offset Estimation and PSS Detection in 5G NR Systems

Vibha Patel, Gujarat Technological University, Krishna Warhade, Dr. Vishwanath Karad MIT World Peace University
2021 International Journal of Intelligent Engineering and Systems  
In this paper, the deep learning-based method is demonstrated to estimate the integer frequency offset and sector id detection.  ...  Conventional approach i.e. maximum likelihood and sequential method is already employed to estimate integer frequency offset and to detect sector id.  ...  Deep Neural Network (DNN) based CFO estimation and packet detection schemes have been investigated and demonstrated for the emerging IEEE 802.11ah standard in [18] .  ... 
doi:10.22266/ijies2021.1031.14 fatcat:zj43exjsnvcixmlmyxk6qh5bei

MAC Layer Protocols for Internet of Things: A Survey

Luiz Oliveira, Joel Rodrigues, Sergei Kozlov, Ricardo Rabêlo, Victor Albuquerque
2019 Future Internet  
This paper presents a deep study of medium access control (MAC) layer protocols that are used in IoT with a detailed description of such protocols grouped (by short and long distance coverage).  ...  For short range coverage protocols, the following are considered: Radio Frequency Identification (RFID), Near Field Communication (NFC), Bluetooth IEEE 802.15.1, Bluetooth Low Energy, IEEE 802.15.4, Wireless  ...  It is necessary to find out the start of the burst, the fine frequency offset estimation and correction, channel estimation and equalization and timing detection to determine payload start position.  ... 
doi:10.3390/fi11010016 fatcat:iah5bdn7ujh3tbclnzo4zpmi4i

Sub-GHz LPWAN Network Coexistence, Management and Virtualization: An Overview and Open Research Challenges

Eli De Poorter, Jeroen Hoebeke, Matthias Strobbe, Ingrid Moerman, Steven Latré, Maarten Weyn, Bart Lannoo, Jeroen Famaey
2017 Wireless personal communications  
Notorious initiatives in this domain are LoRa, Sigfox and the upcoming IEEE 802.11ah (or "HaLow") standard.  ...  Notorious initiatives in this domain are LoRa, SigFox, IEEE802.15.4g and the upcoming IEEE 802.11ah (or "HaloW") standard.  ...  Acknowledgements This work was carried out in the context of following projects.  ... 
doi:10.1007/s11277-017-4419-5 fatcat:pg7k22eg2nb6nbvgea6e27lao4

Wi-Fi Meets ML: A Survey on Improving IEEE 802.11 Performance with Machine Learning [article]

Szymon Szott, Katarzyna Kosek-Szott, Piotr Gawłowicz, Jorge Torres Gómez, Boris Bellalta, Anatolij Zubow, Falko Dressler
2022 arXiv   pre-print
Wireless local area networks (WLANs) empowered by IEEE 802.11 (Wi-Fi) hold a dominant position in providing Internet access thanks to their freedom of deployment and configuration as well as the existence  ...  While classical optimization approaches fail in such conditions, machine learning (ML) is able to handle complexity.  ...  [86] SL CNN, DNN 2021 S+E Packet detection, carrier frequency offset estimation Performance and complexity analysis of packet detection and CFO estimation.Investigation under which conditions the performance  ... 
arXiv:2109.04786v3 fatcat:ny55qfhsnfduzcxyve5mylpr2m

Low-Power Wireless for the Internet of Things: Standards and Applications

Ali Nikoukar, Saleem Raza, Angelina Poole, Mesut Gunes, Behnam Dezfouli
2018 IEEE Access  
Furthermore, we explain the use of these standards in various application domains, such as smart homes, smart healthcare, industrial automation, and smart cities, and discuss their suitability in satisfying  ...  In this paper, we review the existing low-power wireless standards and technologies.  ...  For example, consider a fire detection application based on IEEE 802.15.4.  ... 
doi:10.1109/access.2018.2879189 fatcat:okr3pjazo5gu7i5fdh5eo4jzdy

IoT Connectivity Technologies and Applications: A Survey

Jie Ding, Mahyar Nemati, Chathurika Ranaweera, Jinho Choi
2020 IEEE Access  
In particular, we categorize the existing wireless IoT connectivity technologies based on coverage range and review diverse types of connectivity technologies with different specifications.  ...  input multiple output (mMIMO) based random access that could be employed in future standards for supporting IoT connectivity.  ...  In addition, IEEE 802.11ah (WiFi HaLow) was introduced in 2017 to support IoT with extended coverage and low-power consumption requirements.  ... 
doi:10.1109/access.2020.2985932 fatcat:fc3rbqlakfc7pbdcd7fo7xlera

IoT Connectivity Technologies and Applications: A Survey [article]

Jie Ding, Mahyar Nemati, Chathurika Ranaweera, Jinho Choi
2020 arXiv   pre-print
In particular, we categorize the existing wireless IoT connectivity technologies based on coverage range and review diverse types of connectivity technologies with different specifications.  ...  input multiple output (mMIMO) based random access that could be employed in future standards for supporting IoT connectivity.  ...  In addition, IEEE 802.11ah (WiFi HaLow) was introduced in 2017 to support IoT with extended coverage and low-power consumption requirements.  ... 
arXiv:2002.12646v1 fatcat:7wleyjycv5f2nmsrn7tff5xrfq

Emerging Wireless Sensor Networks and Internet of Things Technologies—Foundations of Smart Healthcare

Gordana Gardašević, Konstantinos Katzis, Dragana Bajić, Lazar Berbakov
2020 Sensors  
Major challenges in privacy and security are also discussed.  ...  A particular emphasis has been given to low-power wireless technologies as a key enabler for energy-efficient IoT-based healthcare systems.  ...  The values of the bandwidth per channel for IEEE 802.11ah are 1, 2, 4, 8 and 16 MHz. The packet length is set 100 bytes. Its typical range could be up to 1000 m.  ... 
doi:10.3390/s20133619 pmid:32605071 pmcid:PMC7374296 fatcat:wqhioh3lsrbx5fxk54k6m4puui

A New Frontier for IoT Security Emerging From Three Decades of Key Generation Relying on Wireless Channels

Junqing Zhang, Guyue Li, Alan Marshall, Aiqun Hu, Lajos Hanzo
2020 IEEE Access  
characteristics [284] , the carrier frequency offset [285] , etc.  ...  Yet, the phase is vulnerable to noise, carrier frequency offset and asynchronous clocks/clock drift at the receiver, hence it is less suitable for practical applications [176] .  ... 
doi:10.1109/access.2020.3012006 fatcat:yqlhgsxfjvdwvfo2jcvxxzhj2i

IEEE 802.11be-Wi-Fi 7: New Challenges and Opportunities [article]

Cailian Deng, Xuming Fang, Xiao Han, Xianbin Wang, Li Yan, Rong He, Yan Long, Yuchen Guo
2020 arXiv   pre-print
This survey covers both the critical technologies being discussed in EHT standard and the related latest progresses from worldwide research.  ...  This article provides the comprehensive survey on the key medium access control (MAC) layer techniques and physical layer (PHY) techniques being discussed in the EHT task group, including the channelization  ...  Frequency Offsets C-OFDMA Coordinated Orthogonal Frequency-Division Multiple Access CRC Cyclic Redundancy Check CSI Channel State Information CSMA Carrier Sense Multiple Access CSMA/CA Carrier  ... 
arXiv:2007.13401v3 fatcat:2tcepnhn2bboxgmpds46umkxxu

Towards Massive Connectivity Support for Scalable mMTC Communications in 5G networks [article]

Carsten Bockelmann, Nuno K. Pratas, Gerhard Wunder, Stephan Saur, Monica Navarro, David Gregoratti, Guillaume Vivier, Elisabeth de Carvalho, Yalei Ji, Cedomir Stefanovic, Petar Popovski, Qi Wang, Malte Schellmann, Evangelos Kosmatos, Panagiotis Demestichas (+3 others)
2018 arXiv   pre-print
Specifically, we present an overview of different physical and medium access techniques to address the problem of a massive number of access attempts in mMTC and discuss the protocol performance of these  ...  solutions in a common evaluation framework.  ...  IEEE 802.11ah is a WAN, offering low-power and longrange operation.  ... 
arXiv:1804.01701v1 fatcat:rxmtp2lrjncstjiabqkntm7niu
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