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The recently proposed affine frequency division multiplexing (AFDM) is a new transmission waveform that has shown excellent performance in high-mobility environments, making it a sensible option for the next-generation wireless networks. In…

Information Theory · Computer Science 2025-07-15 Mi Qian , Fei Ji , Yao Ge , Miaowen Wen , Yong Liang Guan

Mobile edge generation (MEG) is an emerging technology that allows the network to meet the challenging traffic load expectations posed by the rise of generative artificial intelligence~(GAI). A novel MEG model is proposed for deploying GAI…

Information Theory · Computer Science 2024-09-11 Ruikang Zhong , Xidong Mu , Mona Jaber , Yuanwei Liu

Normal group velocity dispersion (GVD) microcombs offer high comb line power and high pumping efficiency compared to bright pulse microcombs. The recent demonstration of normal GVD microcombs using CMOS-foundry-produced microresonators is…

The Single Carrier-Frequency Division Multiple Access (SC-FDMA) is a transmission technique used in the uplink of Long Term Evolution (LTE) and 5G systems, as it is characterized by reduced transmitted signal envelope fluctuations in…

Networking and Internet Architecture · Computer Science 2025-01-22 Pawel Kryszkiewicz

Diffusion models have revolutionized generative AI, with their inherent capacity to generate highly realistic state-of-the-art synthetic data. However, these models employ an iterative denoising process over computationally intensive layers…

Hardware Architecture · Computer Science 2026-03-10 Tharini Suresh , Salma Afifi , Sudeep Pasricha

Six-dimensional movable antenna (6DMA) is an innovative technology to improve wireless network capacity by adjusting 3D positions and 3D rotations of antenna surfaces based on channel spatial distribution. However, the existing works on…

Signal Processing · Electrical Eng. & Systems 2024-12-09 Xiaodan Shao , Rui Zhang , Qijun Jiang , Jihong Park , Tony Q. S. Quek , Robert Schober

In the pursuit of quantum advantage for financial engineering, researchers face a critical dilemma: analog rotation gates suffer from inherent 'sine-to-square' biases and error magnification, while digital arithmetic circuits (e.g.,…

Quantum Physics · Physics 2026-04-08 Yu-Ting Kao , Yeong-Jar Chang

A new multi-device wireless power transfer scheme that reduces the overall charging time is presented. The proposed scheme employs the intermediated energy storage (IES) circuit which consists of a constant power driving circuit and a…

Other Computer Science · Computer Science 2013-12-30 Changseok Yoon , Sung Sik Nam , Sung Ho Cho

With the scaling of technology and higher requirements on performance and functionality, power dissipation is becoming one of the major design considerations in the development of network processors. In this paper, we use an assertion-based…

Hardware Architecture · Computer Science 2011-11-09 Jia Yu , Wei Wu , Xi Chen , Harry Hsieh , Jun Yang , Felice Balarin

A method to reduce the transit time of majority of carriers in photomixers and photo detectors to $< 1$ ps is proposed. Enhanced optical fields associated with surface plasmon polaritons, coupled with velocity overshoot phenomenon results…

Optics · Physics 2015-06-26 Subrahmanyam Pilla

Hardware heterogeneity is here to stay for high-performance computing. Large-scale systems are currently equipped with multiple GPU accelerators per compute node and are expected to incorporate more specialized hardware in the future. This…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-10-05 Polykarpos Thomadakis , Nikos Chrisochoides

Graph Neural Networks (GNNs) are powerful tools for processing graph-structured data, increasingly used for large-scale real-world graphs via sampling-based inference methods. However, inherent characteristics of neighbor sampling lead to…

Hardware Architecture · Computer Science 2025-03-04 Yi Luo , Yaobin Wang , Qi Wang , Yingchen Song , Huan Wu , Qingfeng Wang , Jun Huang

Solid polymer electrolytes hold significant promise as materials for next-generation batteries due to their superior safety performance, enhanced specific energy, and extended lifespans compared to liquid electrolytes. However, the…

Chemical Physics · Physics 2025-04-04 Zhenze Yang , Weike Ye , Xiangyun Lei , Daniel Schweigert , Ha-Kyung Kwon , Arash Khajeh

Measurement-device-independent quantum key distribution (MDI-QKD) is a technique for quantum-secured communication that eliminates all detector side-channels, although is currently limited by implementation complexity and low secure key…

Belief propagation is an algorithm that is known from statistical physics and computer science. It provides an efficient way of calculating marginals that involve large sums of products which are efficiently rearranged into nested products…

Artificial Intelligence · Computer Science 2020-12-22 Tim Ritmeester , Hildegard Meyer-Ortmanns

This paper presents J3DAI, a tiny deep neural network-based hardware accelerator for a 3-layer 3D-stacked CMOS image sensor featuring an artificial intelligence (AI) chip integrating a Deep Neural Network (DNN)-based accelerator. The DNN…

Distributed approaches to secondary frequency control have become a way to address the need for more flexible control schemes in power networks with increasingly distributed generation. The distributed averaging proportional-integral (DAPI)…

Optimization and Control · Mathematics 2018-03-01 Hendrik Flamme , Emma Tegling , Henrik Sandberg

We consider application of the discrete Fourier transform-spread orthogonal frequency-division multiplexing (DFT-spread OFDM) technique to high-speed fiber optic communications. The DFT-spread OFDM is a form of single-carrier technique that…

Information Theory · Computer Science 2011-03-01 Fanggang Wang , Xiaodong Wang

We propose new concept of energy reservoir and effectively conserved quantity, what enables us to treat dissipative systems along the lines of the framework of Geometric Numerical Integration. Using this opportunity, we try to confirm…

Numerical Analysis · Mathematics 2019-10-22 Artur Kobus

We consider the problem of designing a sparse Gaussian process classifier (SGPC) that generalizes well. Viewing SGPC design as constructing an additive model like in boosting, we present an efficient and effective SGPC design method to…

Machine Learning · Computer Science 2012-06-27 Sundararajan Sellamanickam , Shirish Shevade