6G Communication: Next Generation Technology for IoT Applications

Upadhyaya, Prashant; Dutt, Suniti; Ruchi, Ruchi; Upadhyaya, Sheetal

doi:10.1109/icacfct53978.2021.9837375

Cited by 6 publications

(4 citation statements)

References 27 publications

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“…The home status data are sent periodically to the cloud. Assume that all data types It is noted that the Home Status traffic profile on the cloud is accumulated from 7-source nodes using five controller units of scenarios (1)(2)(3)(4)(5). Each source node has 10-30 bytes or 0.08 Kbits-0.23 Kbits.…”

Section: Cloud Traffic Profilementioning

confidence: 99%

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Design and Implementation of a Pilot Model for IoT Smart Home Networks

et al. 2023

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Internet of Things (IoT) technology is a complementary part of our style of life. IoT technology coexists with existing cellular communication for developing 5G. Both academic researchers and industrial householders pay attention to the benefits of IoT technology. However, the rapid growth of IoT networks suffers from some limitations, such as heavy traffic load, traffic congestion,. . . etc. In this paper, a parallel distributed smart home architecture is proposed to solve human-being problems and achieve welfare in society. The proposed network has a light traffic load and low traffic congestion to avoid a single-point failure. The architecture of the proposed smart home network involves connectivity, security, registration, protocols, and scenarios to update registration. Also, the paper presents a framework of state diagrams, processes, and algorithms for IoT smart home networks. This framework includes a design and implementation of a pilot model of IoT smart home domains to meet human beneficiaries. The model consists of six practical smart home network domains in both normal and urgent modes to proof of the concept. The pilot model is programmed based on three major aspects: objectives, processes with algorithms, and state diagrams. The novelty of the paper lies in the capability to implement a smart home architecture pilot model using simple development kits. The design and implementation of the practical IoT smart home networks are tested and measured using a CoolTerm sniffer tool. The results of measurement prove that the proposed model achieves light traffic profiles and low average data rates.INDEX TERMS IoT, smart home, networks, pilot model, IoT protocols, traffic profile.

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Section: Cloud Traffic Profilementioning

confidence: 99%

“…Internet of Things (IoT) is one of many technologies established for emerging wireless cellular communication network, such as 5G and 6G [1], [2], [3], [4]. IoT technology is ''everything talks with others in an intelligent & automated manner to gain human beneficiary''.…”

Section: Introductionmentioning

confidence: 99%

Design and Implementation of a Pilot Model for IoT Smart Home Networks

et al. 2023

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“…Ghorbani et al [31] proposed that the application of 6G and IoT devices ensures unlimited networking possibilities for people in smart cities. According to Upadhyaya et al [32], the number of smart IoT devices could reach up to fifty, making people lives easier. The application of IoT devices for 6G in smart cities provides a 100 Gbps data rate, <0.1 ms latency rate, up to 1000 km/h mobility rate, 100 bps/Hz spectral efficiency, and 1000 GHz frequency.…”

Section: Applications Key Iot Technologies For Energy-efficient 6g In...mentioning

confidence: 99%

Key Technologies, Applications and Trends of Internet of Things for Energy-Efficient 6G Wireless Communication in Smart Cities

Kamruzzaman

2022

Energies

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Smart cities can be made into super-smart cities through IoT devices’ implication of energy-efficient 6G. IoT devices are expected to reach fifty billion, but limited information is available regarding the energy-efficient 6G wireless communication standard. This article highlights the key technologies, applications, and trends in the Internet of Things (IoT) for energy-efficient 6G wireless communication in smart cities. The systematic review helped to achieve the aim of the study by considering the 20 articles extracted from databases and Google that fell between 2015 and 2021 and are written in English. The findings identified that quantum communication, blockchain, visible light communication (VLC), 6G brain–computer interface (BCI), symbiotic radio, and others are the key technologies. The applications of IoT technologies and energy-efficient 6G are found in 15 Minute City, Industrial Town, Intelligent Transport systems and others. Furthermore, the trend of using 6G through IoT devices in smart cities is promising.

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“…With the continuous evolution of next-generation communication technology, multiband, ultra-broadband, high frequency, and internet of everything (IoX) seem the main direction of attention, prone to the extremely complex wireless environment and finegrained multi-dimensional network resources [1][2][3]. In this context, traditional modeldriven wireless communication is inapplicable due to the exponential growth of wireless terminals and increasing communication overhead.…”

Section: Introductionmentioning

confidence: 99%

Semi-supervised-based automatic modulation classification with domain adaptation for wireless IoT spectrum monitoring

et al. 2023

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Dramatic advances in wireless networks have led to the Smart IoT, which may enable new modes of information transfer. Generally, data-driven advanced artificial intelligence (AI) techniques can be used in smart IoT networks, which prones to a lot of unexpected challenges. Enabling efficient management of spectrum resources based on cognitive radio is considered to be an effective means to address the limited spectrum resources. As a key technology in CR, automatic modulation recognition (AMR) is developing towards intelligence with deep learning as the main approach. Deep learning (DL) has been widely applied to AMR for possible improvement of recognition accuracy, while the superb performance highly depends on high-quality and well-labeled datasets. Consequently, these requirements prone to poor performance in the environments where the datasets are not well-labeled. Motivated by this, domain adaptation is considered for AMR in this paper, and a novel network architecture is proposed therein, termed semi-supervised automatic modulation recognition (SemiAMR). Specifically, source domain high SNR data are mapped by the source encoder to the classification domain and classified by the classifier, where the source data with labels enable this training process. Next, the discriminator and the target domain encoder are trained by determining whether the data is from the target or source domain. Finally, the target domain encoder and classifier are combined and are used to infer the data labels of the target domain. Experimental results state that the accuracy of proposed SemiAMR achieves 1\% to 27\% improvements when compared with classical schemes under the target domain condition where there is no corresponding labeled data and signal-to-noise ratios (SNRs) varies from −20 dB to −4 dB.

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6G Communication: Next Generation Technology for IoT Applications

Cited by 6 publications

References 27 publications

Design and Implementation of a Pilot Model for IoT Smart Home Networks

Design and Implementation of a Pilot Model for IoT Smart Home Networks

Key Technologies, Applications and Trends of Internet of Things for Energy-Efficient 6G Wireless Communication in Smart Cities

Semi-supervised-based automatic modulation classification with domain adaptation for wireless IoT spectrum monitoring

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