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Related papers: Performance Scaling Laws for PD Array-based Receiv…

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In this paper, we analyze the symbol error rate (SER) performance of the simultaneous wireless information and power transfer (SWIPT) enabled three-node differential decode-and-forward (DDF) relay networks, which adopt the power splitting…

Signal Processing · Electrical Eng. & Systems 2020-08-06 Yuxin Lu , Wai Ho Mow

The design of a compact high-speed and wide field of view (FOV) receiver is challenging due to the presence of two well-known trade-offs. The first one is the area-bandwidth trade-off of photodetectors (PDs) and the second one is the…

Volt/VAR control rules facilitate the autonomous operation of distributed energy resources (DER) to regulate voltage in power distribution grids. According to non-incremental control rules, such as the one mandated by the IEEE Standard…

Optimization and Control · Mathematics 2023-01-05 Sarthak Gupta , Ali Mehrizi-Sani , Spyros Chatzivasileiadis , Vassilis Kekatos

Rydberg atom,which exhibits a strong response to weak electric(E) fields,is regarded as a promising atomic receiver to surpass sensitivity of conventional receivers. However, its sensitivity is strongly limited by the noise coming from both…

Atomic Physics · Physics 2024-10-08 Bo Wu , Ruiqi Mao , Yi Liu , Di Sang , Yanli Zhou , Yi Lin , Qiang An , Yunqi Fu

This paper focuses on the joint synthesis of constant envelope transmit signal and receive filter aimed at optimizing radar performance in signal-dependent interference and spectrally contested-congested environments. To ensure the desired…

Signal Processing · Electrical Eng. & Systems 2022-04-06 Jing Yang , Augusto Aubry , Antonio De Maio , Xianxiang Yu , Guolong Cui

Balanced photodetector (BPD) is an important component for high-speed coherent receiver. Optimization strategy of waveguide-based multi-quantum well (MQW) BPDs, operating at 1550 nm is demonstrated on generic InP platform. Design parameters…

Optics · Physics 2023-09-22 Dhiman Nag , Weiming Yao , Jos J. G. M. van der Tol

In this paper, we investigate the performance analysis of dual hop relaying system consisting of asymmetric Radio Frequency (RF)/Free Optical Space (FSO) links. The RF channels follow a Rayleigh distribution and the optical links are…

Signal Processing · Electrical Eng. & Systems 2019-01-17 Elyes Balti , Mohsen Guizani , Bechir Hamdaoui , Yassine Maalej

Pulse coding is an effective method to overcome the trade-off between signal-to-noise ratio (SNR) and spatial resolution in optical-fiber sensing systems based on optical time-domain reflectometry (OTDR). However, the coding gain has not…

Instrumentation and Detectors · Physics 2017-05-16 Ruolin Liao , Ming Tang , Can Zhao , Hao Wu , Songnian Fu , Deming Liu , Perry Ping Shum

This work provides a comprehensive scaling law based performance analysis for multi-cell multi-user massive multiple-input-multiple-output (MIMO) downlink systems. Imperfect channel state information (CSI), pilot contamination, and channel…

Information Theory · Computer Science 2017-07-25 Cheng Zhang , Yindi Jing , Yongming Huang , Luxi Yang

We describe an electrothermal model for the turn-on dynamics of superconducting nanowire single-photon detectors (SNSPDs). By extracting a scaling law from a well-known electrothermal model of SNSPDs, we show that the rise-time of the…

We derive scaling laws for the signal-to-noise ratio of the optimal cross-correlation statistic, and show that the large power-law increase of the signal-to-noise ratio as a function of the the observation time $T$ that is usually assumed…

Instrumentation and Methods for Astrophysics · Physics 2015-06-15 Xavier Siemens , Justin Ellis , Fredrick Jenet , Joseph D. Romano

Neural network-based emulators for the inference of stellar parameters and elemental abundances represent an increasingly popular methodology in modern spectroscopic surveys. However, these approaches are often constrained by their…

Instrumentation and Methods for Astrophysics · Physics 2025-06-10 Tomasz Różański , Yuan-Sen Ting

Empirically, large-scale deep learning models often satisfy a neural scaling law: the test error of the trained model improves polynomially as the model size and data size grow. However, conventional wisdom suggests the test error consists…

Machine Learning · Computer Science 2025-06-11 Licong Lin , Jingfeng Wu , Sham M. Kakade , Peter L. Bartlett , Jason D. Lee

In this paper, we propose a novel splitting receiver, which involves joint processing of coherently and non-coherently received signals. Using a passive RF power splitter, the received signal at each receiver antenna is split into two…

Information Theory · Computer Science 2017-10-13 Wanchun Liu , Xiangyun Zhou , Salman Durrani , Petar Popovski

While single-pixel superconducting nanowire single photon detectors (SNSPDs) have demonstrated remarkable efficiency and timing performance from the UV to near-IR, scaling these devices to large imaging arrays remains challenging. Here, we…

Instrumentation and Detectors · Physics 2020-02-26 Jason P. Allmaras , Emma E. Wollman , Andrew D. Beyer , Ryan M. Briggs , Boris A. Korzh , Bruce Bumble , Matthew D. Shaw

We propose a simple mechanism by which scaling laws emerge from feature learning in multi-layer networks. We study a high-dimensional hierarchical target that is a globally high-degree function, but that can be represented by a combination…

Machine Learning · Statistics 2026-05-15 Arie Wortsman-Zurich , Hugo Tabanelli , Yatin Dandi , Florent Krzakala , Bruno Loureiro

Using a classical master equation that describes energy transfer over a given lattice, we explore how energy transfer efficiency along with the photon capturing ability depends on network connectivity, on transfer rates, and on volume…

Statistical Mechanics · Physics 2010-10-26 Ji-Hyun Kim , Jianshu Cao

In this paper, we investigate the fundamental tradeoff between communication and sensing performance of \emph{ad hoc} integrated sensing and communication (ISAC) wireless networks. Specifically, we consider that $n$ nodes are randomly…

Information Theory · Computer Science 2025-02-17 Min Qiu , Ming-Chun Lee , Yu-Chih Huang , Jinhong Yuan

Neural scaling laws suggest that the test error of large language models trained online decreases polynomially as the model size and data size increase. However, such scaling can be unsustainable when running out of new data. In this work,…

Machine Learning · Computer Science 2025-09-26 Licong Lin , Jingfeng Wu , Peter L. Bartlett

In this paper, we analyze the symbol error rate (SER) performance of the simultaneous wireless information and power transfer (SWIPT) enabled three-node differential decode-and-forward (DDF) relay networks, which adopt the power splitting…

Information Theory · Computer Science 2020-05-08 Yuxin Lu , Wai Ho Mow