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EURASIP Journal on Wireless Communications and Networking
ISSN 1687-1499 · SpringerOpen · 3.877 artikel di indeks
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Artikel Jurnal
Dynamic resource allocation in smart agricultural IoT using reinforcement learning and 6g edge computing
Abstract Smart agricultural IoT systems face dynamic resource allocation challenges from device heterogeneity and environmental variability. In this paper, we propose a novel framework that combines 6G edge computing with reinforcement learning to optimise resource management. The framework…
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Artikel Jurnal
Uplink RIS-assisted NOMA/OMA networks: a theoretical study
Abstract In this paper, we have investigated the outage probabilities (OPs) and the ergodic rates (ERs) of uplink reconfigurable intelligent surface (RIS)-assisted non-orthogonal and orthogonal multiple-access (NOMA and OMA) networks. Particularly, we have tackled a challenging scenario in which…
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Artikel Jurnal
Performance evaluation of a machine learning-driven dual broadband antenna with beam steering for 5G sub-6 GHz applications
Abstract This research evaluates the performance of a compact, lightweight, dual-band switched-beam antenna designed for 5G sub-6 GHz communications, operating at 0.7 GHz and 2.6 GHz. The antenna structure integrates grooves and parasitic features to improve bandwidth performance. Three machine…
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Artikel Jurnal
Blockchain-enabled scalable data trading with secure traceability in edge environments
Abstract In the era of the digital economy and pervasive Internet of Things (IoT) connectivity, massive volumes of data are generated in the edge environments such as from smart sensors, industrial equipment, and mobile devices. Traditional centralized data trading platforms struggle with latency…
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Artikel Jurnal
Reducing the peak-to-average power ration for NOMA waveform with diverse channel using micro genetic algorithm-based partial transmission sequence algorithm
Abstract This paper explores the efficiency of peak-to-average power ratio (PAPR) reduction methods in non-orthogonal multiple access (NOMA) systems under Rayleigh and Rician fading channels for various sub-carrier configurations. The μGA-PTS method improves PAPR performance with maintaining the…
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Artikel Jurnal
Performance analysis of multiband frequency-reconfigurable antenna for cognitive radio applications
Abstract This work presents a multiband, frequency-reconfigurable antenna developed for cognitive radio systems. Cognitive radio is an advanced wireless communication framework capable of autonomously sensing vacant spectrum bands and reconfiguring its transmission parameters to enhance spectral…
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Artikel Jurnal
Robust incomplete multi-modal clustering with interpolation enhancement and dual-path contrastive optimization
Abstract Incomplete multi-modal clustering (IMC) has emerged as a critical challenge in the context of real-world sensing systems, where missing modalities frequently occur due to sensor failure, occlusion, or transmission loss. This paper proposes a novel dual-path clustering framework to address…
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Artikel Jurnal
Generative AI for non-terrestrial networks: design, applications, and challenges
Abstract Non-terrestrial networks (NTNs) have been identified as a fundamental component of future sixth generation (6 G) mobile networks, providing extended coverage to underserved and isolated regions and enhancing connectivity to fast mobility users (e.g., airplanes, vessels). Artificial…
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Artikel Jurnal
A bottom-up approach for QoS-driven network slicing in TSN networks
Abstract Network slicing enables multiple virtual networks to share physical resources, allowing network operators to deliver highly customizable and efficient networking solutions that meet the diverse requirements of modern applications. Automating the deployment and runtime management of network…
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Artikel Jurnal
Toward data trustworthiness in digital agriculture: taxonomy and building blocks
Abstract Agriculture Technology (AgTech) integrates various technologies, devices, protocols, and computational paradigms to improve agricultural processes. Big data, artificial intelligence, the Internet of Things (IoT), cloud and edge computing are applied to provide capabilities for collecting…
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Artikel Jurnal
MULTIPASS: IoT scheduling over a multilayer NTN architecture
Abstract The 6G vision promotes the convergence of terrestrial and non-terrestrial networks (NTNs) to enable seamless internet of things (IoT) connectivity, particularly in remote and infrastructure-limited regions. However, direct satellite–IoT communication remains constrained by the low…
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Artikel Jurnal
HGANF: a hybrid graph-attentive neural framework for intelligent wireless channel modeling in next-generation networks
Abstract The rapid evolution of wireless communication necessitates the development of advanced channel modeling techniques to address the increasing complexity of next-generation networks, including 6G and beyond. Conventional techniques primarily employ empirical and stochastic approaches, which…
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Artikel Jurnal
Long range battery-free wireless power transfer testbed for underground mines IoT and LPWAN devices
Abstract Underground mines are susceptible to occasional roof falls and cave-ins, temporarily destroying the existing wireless communications and telemetry infrastructure. During this temporary outage, intermittent provision of electrical energy wirelessly to the already deployed low-power wireless…
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Artikel Jurnal
Converge: towards an efficient multi-modal sensing research infrastructure for next-generation 6 G networks
Abstract Telecommunications and computer vision solutions have evolved significantly in recent years, allowing a huge advance in the functionalities and applications offered. However, these two fields have been making their way as separate areas, not exploring the potential benefits of merging the…
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Artikel Jurnal
A lexicographic hierarchical planning framework using motion primitives for autonomous vehicles
Abstract Trajectory planning in autonomous driving is critical to both vehicle safety and driving efficiency. Based on rule hierarchy, general approaches such as optimization-based planning and learning-based planning have been widely explored, yet some of them often suffer from poor…
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Artikel Jurnal
Constant modulus constrained codebook synthesis for mmWave full-duplex ISAC devices
Abstract Self-interference (SI) is a major obstacle to the practical realization of fully full-duplex (FD) systems. This challenge becomes even more critical in FD integrated sensing and communication (ISAC) devices where the sensing signal is of several orders of magnitude weaker than the SI. In…
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Artikel Jurnal
AI-powered cyber resilience: a reinforcement learning approach for automated threat hunting in 5G networks
Abstract The rapid evolution of 5G networks has introduced unparalleled connectivity, speed, and efficiency. However, these advancements bring critical cybersecurity challenges due to increased attack surfaces, network slicing vulnerabilities, and adaptive threat vectors. Traditional IDS and…
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Artikel Jurnal
Support vector machines for optimal channel decoding
Abstract In this work, we investigate channel decoding techniques based on machine learning, and more specifically, on support vector machines (SVMs). Existing SVM-based decoders suffer from a scalability problem, characterized by the exponential growth of both the number of classifiers required to…
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Artikel Jurnal
Two-stage combining and beamforming for FDD massive MIMO relay system with user-pair scheduling
Abstract This paper proposes a novel two-stage combining and beamforming with user-pair scheduling (TSCBUS) scheme to address the core challenges of excessive pilot overhead in frequency division duplexing massive MIMO relay systems. Unlike existing schemes, the proposed TSCBUS scheme leverages…
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