The progress of on-chip optical communication relies on integrated multi-dimensional mode(de)multiplexers to enhance communication capacity and establish comprehensive ***,existing multi-dimensional(de)multiplexers,in...
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The progress of on-chip optical communication relies on integrated multi-dimensional mode(de)multiplexers to enhance communication capacity and establish comprehensive ***,existing multi-dimensional(de)multiplexers,involving modes and wavelengths,face limitations due to their reliance on single-directional total internal reflection and multi-level mode conversion based on directional coupling *** constraints restrict their potential for full-duplex functionality and highly integrated *** solve these problems by introducing a photonic-like crystal-connected bidirectional micro-ring resonator array(PBMRA)and apply it to duplex mode-wavelength multiplexing *** directional independence of total internal reflection and the cumulative effect of the subwavelength-scale pillar within the single-level photonic crystal enable bidirectional mode and wavelength multiplexed signals to transmit among multi-pair nodes without interference,improving on-chip integration in single-level mode *** a proof of concept,we fabricated a nine-channel bidirectional multi-dimensional(de)multiplexer,featuring three wavelengths and three TE modes,compactly housed within a footprint of 80μm×80μm,which efficiently transmits QPSK-OFDM signals at a rate of 216 Gbit/s,achieving a bit error rate lower than 10^(-4).Leveraging the co-ring transmission characteristic and the orthogonality of the mode-wavelength channel,this(de)multiplexer also enables a doubling of communication capacity using two physical transmission channels.
The increasing deployment of unmanned surface vehicles (USVs) require computational support and coverage in applications such as maritime search and rescue. Unmanned aerial vehicles (UAVs) can offer low-cost, flexible...
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ISBN:
(数字)9798331513269
ISBN:
(纸本)9798331513276
The increasing deployment of unmanned surface vehicles (USVs) require computational support and coverage in applications such as maritime search and rescue. Unmanned aerial vehicles (UAVs) can offer low-cost, flexible aerial services, and ground stations (GSs) can provide powerful supports, which can cooperate to help the USVs in complex scenarios. However, the collaboration between UAVs and GSs for USVs faces challenges of task uncertainties, USVs trajectory uncertainties, heterogeneities, and limited computational resources. To address these issues, we propose a cooperative UAV and GS based robust multi-access edge computing framework to assist USVs in completing computational tasks. Specifically, we formulate the optimization problem of joint task offloading and UAV trajectory to minimize the total execution time, which is in the form of mixed integer nonlinear programming and NP-hard to tackle. Therefore, we propose the algorithm of generative artificial intelligence-enhanced heterogeneous agent proximal policy optimization (GAI-HAPPO). The proposed algorithm integrates GAI models to enhance the actor network ability to model complex environments and extract high-level features, thereby allowing the algorithm to predict uncertainties and adapt to dynamic conditions. Additionally, GAI stabilizes the critic network, addressing the instability of multi-agent reinforcement learning approaches. Finally, extensive simulations demonstrate that the proposed algorithm outperforms the existing benchmark methods, thus highlighting the potentials in tackling intricate, cross-domain issues in the considered scenarios.
Anomaly interference in the radiation pattern of an active phased array antenna (APAA) is an intractable problem, that affects the overall system performance. To overcome this problem, this paper proposes an antenna r...
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Federated Learning (FL) is a privacy-preserving solution that addresses the issue of data security. It achieves model aggregation by uploading only the locally trained parameters of each party to a central server, thu...
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The rise of the Metaverse, an immersive, three-dimensional digital environment, has been gradually transforming human-computer interaction. This paper focuses on exploring the potential of the Metaverse to improve lea...
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ISBN:
(数字)9798350381559
ISBN:
(纸本)9798350381566
The rise of the Metaverse, an immersive, three-dimensional digital environment, has been gradually transforming human-computer interaction. This paper focuses on exploring the potential of the Metaverse to improve learning through interactive games. The Metaverse serves as a dynamic platform for students to collaborate, explore and engage with. It enables educators to create interactive learning environments that amalgamate both physical and virtual spaces through technologies such as virtual reality, augmented reality, and artificial intelligence. These interactive games within the Metaverse foster critical thinking and problem-solving on top of making learning enjoyable. This paper discusses the development of educational environments within the metaverse, the integration of interactive games as well as their impact on learning outcomes and student engagement. The Metaverse poses a novel route towards effective education with this gamified approach. This study highlights the potential for the Metaverse to prepare students for the challenges inherent in this digital age by transforming traditional educational methods.
We experimentally demonstrate PAM-4 optical transmission beyond 224 Gbps based on an ultrahigh-bandwidth slow-light silicon modulator in C-band with the combination of the artificial neural network equalizers.
ISBN:
(纸本)9798350369311
We experimentally demonstrate PAM-4 optical transmission beyond 224 Gbps based on an ultrahigh-bandwidth slow-light silicon modulator in C-band with the combination of the artificial neural network equalizers.
The monitoring and fault detection for the Czochralski (Cz) crystal growth process is important to ensure the quality of the produced mono-crystalline silicon. The Cz process is a typical multi-modes industrial proces...
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With the development of 6 G and beyond, space-air-ground integrated networks (SAGINs) have evolved into key elements to promote high-speed and seamless connections for users. This paper studies a heterogeneous SA...
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Generative AI (GAI) can enhance the cognitive, reasoning, and planning capabilities of intelligent modules in the Internet of Vehicles (IoV) by synthesizing augmented datasets, completing sensor data, and making seque...
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Ice floes and icebergs pose a deadly threat to ships. Ensuring safe navigation by timely detecting these hazards through shipborne detection systems represents a potent solution. Infrared iceberg detection stands out ...
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