The Impact of 6G-IoT Technologies on the Development of Agriculture 5.0: A Review

Electronics, Год журнала: 2023, Номер 12(12), С. 2651 - 2651

Опубликована: Июнь 13, 2023

Throughout human history, agriculture has undergone a series of progressive transformations based on ever-evolving technologies in an effort to increase productivity and profitability. Over the years, farming methods have evolved significantly, progressing from Agriculture 1.0, which relied primitive tools, 2.0, incorporated machinery advanced practices, subsequently 3.0, emphasized mechanization employed intelligent technology enhance levels. To further automate agricultural while minimizing inputs pollutants, new approach management concepts fourth industrial revolution is being embraced gradually. This referred as “Agriculture 4.0” mainly implemented through use Internet Things (IoT) technologies, enabling remote control sensors actuators efficient collection transfer data. In addition, fueled by such robotics, artificial intelligence, quantum sensing, four-dimensional communication, form smart agriculture, called 5.0,” now emerging. 5.0 can exploit growing 5G network infrastructure basis. However, only 6G-IoT networks will be able offer technological advances that allow full expansion 5.0, inferred relevant scientific literature research. this article, we first introduce scope well key features leveraged much-anticipated communication systems. We then highlight importance influence these developing advancement conclude with discussion future challenges opportunities.

Язык: Английский

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Task-Oriented Sensing, Computation, and Communication Integration for Multi-Device Edge AI

IEEE Transactions on Wireless Communications, Год журнала: 2023, Номер 23(3), С. 2486 - 2502

Опубликована: Авг. 14, 2023

This paper studies a new multi-device edge artificial-intelligent (AI) system, which jointly exploits the AI model split inference and integrated sensing communication (ISAC) to enable low-latency intelligent services at network edge. In this multiple ISAC devices perform radar obtain multi-view data, then offload quantized version of extracted features centralized server, conducts based on cascaded feature vectors. Under setup by considering classification tasks, we measure accuracy adopting an approximate but tractable metric, namely discriminant gain, is defined as distance two classes in Euclidean space under normalized covariance. To maximize first quantify influence sensing, computation, processes it with derived closed-form expression. Then, end-to-end task-oriented resource management approach developed integrating three into joint design. (ISCC) design approach, however, leads challenging non-convex optimization problem, due complicated form gain device heterogeneity terms channel quantization level, generated subsets. Remarkably, considered problem can be optimally solved sum-of-ratios method. gives optimal ISCC scheme, that determines transmit power time allocation for communication, well their bits computation distortion control. By using human motions recognition concrete task, extensive experiments are conducted verify performance our scheme.

Язык: Английский

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A Survey on Over-the-Air Computation

IEEE Communications Surveys & Tutorials, Год журнала: 2023, Номер 25(3), С. 1877 - 1908

Опубликована: Янв. 1, 2023

Communication and computation are often viewed as separate tasks. This approach is very effective from the perspective of engineering isolated optimizations can be performed. However, for many computation-oriented applications, main interest a function local information at devices, rather than itself. In such scenarios, theoretical results show that harnessing interference in multiple access channel computation, i.e., over-the-air (OAC), provide significantly higher achievable rate separating communication Moreover, gap between OAC separation terms increases with more participating nodes. Given this motivation, study, we comprehensive survey on practical methods. After outlining fundamentals related to OAC, discuss available schemes their pros cons. We an overview enabling mechanisms achieving reliable wireless channel. Finally, summarize potential applications point out some future directions.

Язык: Английский

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Integrated Sensing and Communications: Recent Advances and Ten Open Challenges

IEEE Internet of Things Journal, Год журнала: 2024, Номер 11(11), С. 19094 - 19120

Опубликована: Фев. 1, 2024

It is anticipated that integrated sensing and communications (ISAC) would be one of the key enablers next-generation wireless networks (such as beyond 5G (B5G) 6G) for supporting a variety emerging applications. In this paper, we provide comprehensive review recent advances in ISAC systems, with particular focus on their foundations, physical-layer system design, networking aspects Furthermore, discuss corresponding open questions above emerged each issue. Hence, commence information theory (S&C), followed by information-theoretic limits systems shedding light fundamental performance metrics. Next, clock synchronization phase offset problems, associated Pareto-optimal signaling strategies, well super-resolution design. Moreover, envision ushers paradigm shift future cellular relying network sensing, transforming classic architecture, cross-layer resource management methods, transmission protocols. applications, further highlight security privacy issues sensing. Finally, close studying representative use case, namely multi-object multi-task (MOMT) recognition problem using signals.

Язык: Английский

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Human-Centered Interaction in Virtual Worlds: A New Era of Generative Artificial Intelligence and Metaverse

International Journal of Human-Computer Interaction, Год журнала: 2024, Номер unknown, С. 1 - 43

Опубликована: Фев. 27, 2024

The metaverse has emerged as an exciting new paradigm for human-computer interaction (HCI) and virtual collaboration. This paper presents a comprehensive review of the to address gap in existing literature where there is lack survey that reviews nature its building blocks from human-centric perspective. We first synthesize definition delineate key affordances. then introduce detailed framework encompassing metaverse's nature, infrastructure technologies, input/output technologies facilitate multi-sensory HCI, alongside applications across diverse domains. components within this are explained depth, offering insights into readiness level current technologies. Based on analysis, we outline major open challenges propose promising directions demanding further exploration investigation. By clarifying vision characterizing required realize it, provides essential serves invaluable resource developers researchers working advance transformative medium.

Язык: Английский

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A Tutorial on Environment-Aware Communications via Channel Knowledge Map for 6G

IEEE Communications Surveys & Tutorials, Год журнала: 2024, Номер 26(3), С. 1478 - 1519

Опубликована: Янв. 1, 2024

Sixth-generation (6G) mobile communication networks are expected to have dense infrastructures, large antenna size, wide bandwidth, cost-effective hardware, diversified positioning methods, and enhanced intelligence. Such trends bring both new challenges opportunities for the practical design of 6G. On one hand, acquiring channel state information (CSI) in real time all wireless links becomes quite challenging other there would be numerous data sources 6G containing high-quality location-tagged data, e.g., estimated channels or beams between base station (BS) user equipment (UE), making it possible better learn local environment. By exploiting this opportunity tackling CSI acquisition challenge, is a promising paradigm shift from conventional environment-unaware communications environment-aware based on novel approach knowledge map (CKM). This article aims provide comprehensive overview enabled by CKM fully harness its benefits First, basic concept presented, followed comparison with various existing inference techniques. Next, main techniques construction discussed, including environment model-free model-assisted approaches. Furthermore, general framework presented utilization achieve communications, some typical CKM-aided scenarios. Finally, important open problems research highlighted potential solutions discussed inspire future work.

Язык: Английский

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Semantic Communications for Image Recovery and Classification via Deep Joint Source and Channel Coding

IEEE Transactions on Wireless Communications, Год журнала: 2024, Номер 23(8), С. 8388 - 8404

Опубликована: Янв. 10, 2024

With the recent advancements in edge artificial intelligence (AI), future sixth-generation (6G) networks need to support new AI tasks such as classification and clustering apart from data recovery. Motivated by success of deep learning, semantic-aware task-oriented communications with joint source channel coding (JSCC) have emerged paradigm shifts 6G conventional data-oriented separate (SSCC). However, most existing works focused on JSCC designs for one task recovery or execution independently, which cannot be transferred other unintended tasks. Differently, this paper investigates semantic multi-task services, performing image simultaneously. First, we propose a end-to-end framework unifying rate reduction maximization mean square error (MSE) minimization loss function. Here, facilitates learning discriminative features enabling perform directly feature space, MSE helps informative high-quality Next, further improve robustness against variational wireless channels, gated design, net is incorporated adaptively pruning output adjust their dimensions based conditions. Finally, present extensive numerical experiments validate performance our proposed compared various benchmark schemes. It shown that simultaneously provide efficient efficiently reduces communication overhead only marginal loss. also space via able better defend label corruption than traditional label-fitting methods.

Язык: Английский

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Adaptive 5G-and-beyond network-enabled interpretable federated learning enhanced by neuroevolution

Science China Information Sciences, Год журнала: 2024, Номер 67(7)

Опубликована: Июнь 27, 2024

Язык: Английский

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Integrated Sensing-Communication-Computation for Edge Artificial Intelligence

IEEE Internet of Things Magazine, Год журнала: 2024, Номер 7(4), С. 14 - 20

Опубликована: Июнь 27, 2024

Язык: Английский

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Intelligent integrated sensing and communication: a survey

Science China Information Sciences, Год журнала: 2024, Номер 68(3)

Опубликована: Дек. 11, 2024

Abstract Integrated sensing and communication (ISAC) is a promising technique to increase spectral efficiency support various emerging applications by sharing the spectrum hardware between these functionalities. However, traditional ISAC schemes are highly dependent on accurate mathematical model suffer from challenges of high complexity poor performance in practical scenarios. Recently, artificial intelligence (AI) has emerged as viable address issues due its powerful learning capabilities, satisfactory generalization capability, fast inference speed, adaptability for dynamic environments, facilitating system design shift model-driven data-driven. Intelligent ISAC, which integrates AI into been hot topic that attracted many researchers investigate. In this paper, we provide comprehensive overview intelligent including motivation, typical applications, recent trends, challenges. particular, first introduce basic principle followed key techniques. Then, an comparison model-based AI-based methods provided. Furthermore, trends AI-enabled reviewed. Finally, future research discussed.

Язык: Английский

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