Metamaterials have revolutionized wave control;in the last two decades,they evolved from passive devices via programmable devices to sensor-endowed self-adaptive devices realizing a user-specified *** deep-learning te...
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Metamaterials have revolutionized wave control;in the last two decades,they evolved from passive devices via programmable devices to sensor-endowed self-adaptive devices realizing a user-specified *** deep-learning techniques play an increasingly important role in metamaterial inverse design,measurement post-processing and end-to-end optimization,their role is ultimately still limited to approximating specific mathematical relations;the metamaterial is still limited to serving as proxy of a human operator,realizing a predefined ***,we propose and experimentally prototype a paradigm shift toward a metamaterial agent(coined metaAgent)endowed with reasoning and cognitive capabilities enabling the autonomous planning and successful execution of diverse long-horizon tasks,including electromagnetic(EM)field manipulations and interactions with robots and *** recently released foundation models,metaAgent reasons in high-level natural language,acting upon diverse prompts from an evolving complex ***,metaAgent's cerebrum performs high-level task planning in natural language via a multi-agent discussion mechanism,where agents are domain experts in sensing,planning,grounding,and *** response to live environmental feedback within a real-world setting emulating an ambient-assisted living context(including human requests in natural language),our metaAgent prototype self-organizes a hierarchy of EM manipulation tasks in conjunction with commanding a *** masters foundational EM manipulation skills related to wireless communications and sensing,and it memorizes and learns from past experience based on human feedback.
A dual-comb FMCW Lidar with coherent comb stitching (CCS) technique is firstly demonstrated. CCS can simultaneously achieve 65 GHz high frequency sweeping range, millimeter-level ranging resolution and 100 kHz high vo...
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In this paper, optical forward error correction using recirculating frequency shifter is proposed and investigated. The optical and in-the-fly process leads to great potential for low latency and high-speed optical co...
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Amplified spontaneous emission (ASE) noise with inherent quantum nature is promising for true random number generator (TRNG) and secure key generation and distribution (SKGD). A high-speed TRNG and a physical-layer SK...
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The computational spectropolarimeter is demonstrated for the first time using speckle patterns obtained from a multi-mode fiber, with 100-pm spectral resolution, 30-nm bandwidth and a polarization measurement error of...
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Integrated sensing and communication (ISAC) technology is essential for supporting vehicular networks. However, the communication channel in this scenario exhibits time variations, and the potential targets may move r...
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A convolution neural network is proposed to reconstruct the true value from phase-wrapped interferometric sensing signals. The MAE and RMSE in a real phase dataset sampled by DAS are 0.069 p and 0.352 p respectively. ...
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It has been widely recognized that placing cloud data centers near clean energy sources or in cooler environments may reduce the operational cost and carbon footprint. But when the scale of the system, in terms of the...
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Recently,holographic multiple-input multiple-output(HMIMO)has motivated its potential use to support high-capacity data transmission with spatially quasi-continuous *** a practical instance of HMIMO,reconfigurable ref...
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Recently,holographic multiple-input multiple-output(HMIMO)has motivated its potential use to support high-capacity data transmission with spatially quasi-continuous *** a practical instance of HMIMO,reconfigurable refractive surfaces(RRSs)equipped with numerous metamaterial elements are utilized as antennas by refracting incident signals from signal *** this paper,we investigate a multi-user communication system with an RRS deployed as the base station(BS)’s transmit *** mitigate the high overhead of accurate channel state information(CSI)acquisition,the codebook design and beam training are employed to perform *** the large scale of RRS,users are likely to be randomly distributed in both the near and far fields around the BS,which is unknown in *** considering radiation characteristics in both fields,a near-far field codebook is designed to be applicable to all users,regardless of their *** reduce overhead,a multi-user beam training is proposed to serve all users simultaneously by enhancing each codeword capable of covering multiple *** a general case that includes users in both fields,simulation results indicate that,without prior knowledge of user distribution,the proposed scheme outperforms state-of-the-art ones in terms of sum rate and overhead.
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