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Optical neural networks usually execute the linear multiply-accumulate operation in the optical domain, whereas the nonlinear activation function is mostly implemented in the digital or electrical domain. Here we demonstrate a broadband…

Optics · Physics 2025-07-02 Hai-Fei Guo , Zheng-Can Sun , Yi-Wei Shen , Rui-Qian Li , Xing Li , Cheng Wang

Optical wireless communication (OWC) leverages the terahertz-scale optical spectrum to enable ultra-fast data transfer, offering a compelling alternative to often-congested radio frequency systems. However, the highly directional nature of…

Systems and Control · Electrical Eng. & Systems 2025-08-19 Hongwei Cui , Soung Chang Liew

In future B5G/6G broadband communication systems, non-linear signal distortion caused by the impairment of transmit power amplifier (PA) can severely degrade the communication performance, especially when uplink users share the wireless…

Networking and Internet Architecture · Computer Science 2023-08-25 Xiaojia Wang , Suzhi Bi , Xian Li , Xiaohui Lin , Zhi Quan , Ying-Jun Angela Zhang

Chip-based optical amplifiers can significantly expand the functionalities of photonic devices. In particular, optical-parametric amplifiers (OPAs), with engineerable gain-spectra, are well-suited for nonlinear-photonic applications.…

We develop from first principles the coupled wave equations that describe polarization-sensitive parametric amplification based on four-wave mixing in standard (randomly birefringent) optical fibers. We show that in the small-signal case…

Optics · Physics 2013-01-08 Massimiliano Guasoni , Victor V. Kozlov , Stefan Wabnitz

In multichannel signal processing with distributed sensors, choosing the optimal subset of observed sensor signals to be exploited is crucial in order to maximize algorithmic performance and reduce computational load, ideally both at the…

Audio and Speech Processing · Electrical Eng. & Systems 2023-01-18 Michael Günther , Andreas Brendel , Walter Kellermann

Nonlinear distortion stemming from low-cost power amplifiers may severely affect wireless communication performance through out-of-band (OOB) radiation and in-band distortion. The distortion is correlated between different transmit antennas…

Information Theory · Computer Science 2023-11-01 Murat Babek Salman , Emil Björnson , Gokhan Muzaffer Guvensen , Tolga Ciloglu

We experimentally solve the problem of maximizing capacity under a total supply power constraint in a massively parallel submarine cable context, i.e., for a spatially uncoupled system in which fiber Kerr nonlinearity is not a dominant…

This work for the first time examines the impact of transmitter-side correlation on the artificial-noise-aided secure transmission, based on which a new power allocation strategy for artificial noise (AN) is devised for physical layer…

Information Theory · Computer Science 2016-11-08 Shihao Yan , Xiangyun Zhou , Nan Yang , Biao He , Thushara D. Abhayapala

Multimode fibers have been proposed for mitigating nonlinear effects in high-power fiber amplifiers, allowing for significant power scaling. Most previous studies on light propagation in continuous-wave fiber amplifiers focus on single mode…

The underwater acoustic channel is characterized by a path loss that depends not only on the transmission distance, but also on the signal frequency. Signals transmitted from one user to another over a distance $l$ are subject to a power…

Information Theory · Computer Science 2009-03-26 Daniel E. Lucani , Muriel Médard , Milica Stojanovic

An artificial-noise (AN)-aided beamformer specific to correlated main and wiretap channels is designed in this paper. We consider slow-fading multiple-input-single-output (MISO) wiretap channels with a passive single-antenna eavesdropper,…

Information Theory · Computer Science 2019-07-03 Shuai Han , Sai Xu , Weixiao Meng , Lei He

We consider the optical fiber channel modelled by the nonlinear Shr\"{o}dinger equation with zero dispersion and additive Gaussian noise. Using Feynman path-integral approach for the model we find corrections to conditional probability…

Information Theory · Computer Science 2017-01-25 A. A. Panarin , A. V. Reznichenko , I. S. Terekhov

Deep learning technology has been widely applied to speech enhancement. While testing the effectiveness of various network structures, researchers are also exploring the improvement of the loss function used in network training. Although…

Audio and Speech Processing · Electrical Eng. & Systems 2023-04-25 Tianrui Wang , Weibin Zhu

We report on the design and numerical simulation of a tunable, near-infrared (NIR) femtosecond noncollinear optical parametric amplifier (OPA) seeded by a nonlinear fiber amplifier operating in the parabolic and gain-managed regime. With…

Optics · Physics 2023-05-08 Brittany Lu , Keith Wernsing , Sergio Carbajo

In this paper, we consider a multi-pair two-way amplify-and-forward relaying system where multiple sources exchange information via a relay node equipped with large-scale antenna arrays. Given that channel estimation is non-ideal, and that…

Information Theory · Computer Science 2016-05-26 Yongyu Dai , Xiaodai Dong

We present a co-axial dual-core resonant leaky optical fibre design, in which the outer core is made highly leaky. A suitable choice of parameters can enable us to resonantly couple power from the inner core to the outer core. In a…

Optics · Physics 2010-03-02 Ajeet Kumar , Vipul Rastogi , Charu Kakkar , Bernard Dussardier

We analyze the impact of arbitrary dependence between the forward and backward links in backscatter communication systems. Specifically, we quantify the effect of positive and negative dependence between these fading links on channel…

Information Theory · Computer Science 2021-05-31 F. Rostami Ghadi , F. J. Martin-Vega , F. J. Lopez-Martinez

We consider the communication channel given by a fiber optical transmission line. We develop a method to perturbatively calculate the information capacity of a nonlinear channel, given the corresponding evolution equation. Using this…

Optics · Physics 2007-05-23 Evgenii Narimanov , Partha Mitra

Federated learning (FL) has been considered a promising privacy preserving distributed edge learning framework. Over-the-air computation (AirComp) leveraging analog transmission enables the aggregation of local updates directly over-the-air…

Signal Processing · Electrical Eng. & Systems 2026-04-06 Lorenz Bielefeld , Paul Zheng , Oner Hanay , Yao Zhu , Yulin Hu , Anke Schmeink