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We study remote estimation in a wireless sensor network. Instead of using a conventional battery-powered sensor, a sensor equipped with an energy harvester which can obtain energy from the external environment is utilized. We formulate this…

最优化与控制 · 数学 2014-02-25 Yuzhe Li , Daniel E. Quevedo , Vincent Lau , Subhrakanti Dey , Ling Shi

The integration of renewables into electrical grids calls for optimization-based control schemes requiring reliable grid models. Classically, parameter estimation and optimization-based control is often decoupled, which leads to high system…

系统与控制 · 电气工程与系统科学 2021-03-22 Xu Du , Alexander Engelmann , Timm Faulwasser , Boris Houska

In this paper we study the maximum throughput achievable with optimal scheduling in multi-hop networks with highly directive antenna arrays capable of Space Division Multiplexing (SDM) at the transmitter and Space Division Multiple Access…

信息论 · 计算机科学 2019-01-28 Felipe Gómez-Cuba , Michele Zorzi

Rapid technological advances in the domain of Wireless Power Transfer (WPT) pave the way for novel methods for power management in systems of wireless devices and recent research works have already started considering algorithmic solutions…

网络与互联网体系结构 · 计算机科学 2021-09-27 Ioannis Katsidimas , Sotiris Nikoletseas , Theofanis P. Raptis , Christoforos Raptopoulos

Simultaneous Wireless Information and Power Transfer (SWIPT) has attracted significant attention in the communication community. The problem of waveform design for SWIPT has however never been addressed so far. In this paper, a novel SWIPT…

信息论 · 计算机科学 2016-02-03 Bruno Clerckx

In multimode fiber transmission systems, mode-dependent loss and gain (collectively referred to as MDL) pose fundamental performance limitations. In the regime of strong mode coupling, the statistics of MDL (expressed in decibels or log…

光学 · 物理学 2013-01-15 Keang-Po Ho , Joseph M. Kahn

Digital twin (DT)-driven deep reinforcement learning (DRL) has emerged as a promising paradigm for wireless network optimization, offering safe and efficient training environment for policy exploration. However, in theory existing methods…

机器学习 · 计算机科学 2025-02-26 Zhenyu Tao , Wei Xu , Xiaohu You

Interconnecting multiple sensor networks is a relatively new research field which has emerged in the Wireless Sensor Network domain. Wireless Sensor Networks (WSNs) have typically been seen as logically separate, and few works have…

网络与互联网体系结构 · 计算机科学 2015-03-20 Sougata Pal , Simon Oechsner , Boris Bellalta , Miquel Oliver

In this paper, we study the multiple-input and multiple-output (MIMO) wireless power transfer (WPT) system so as to enhance the output DC power of the rectennas. To that end, we revisit the rectenna nonlinearity considering multiple receive…

信号处理 · 电气工程与系统科学 2020-09-15 Shanpu Shen , Bruno Clerckx

This article describes a complex network model whose weights are proportional to the difference between uniformly distributed ``fitness'' values assigned to the nodes. It is shown both analytically and experimentally that the strength…

统计力学 · 物理学 2009-11-11 Luciano da Fontoura Costa , Gonzalo Travieso

The rapidly increasing penetration of inverter-based resources into a power transmission network requires more sophisticated voltage control strategies considering their inherent output variabilities. In addition, faults and load variations…

最优化与控制 · 数学 2023-02-21 Mohammed N. Khamees , Yang Liu , Kai Sun

The joint design of spatial channel assignment and power allocation in Multiple Input Multiple Output (MIMO) systems capable of Simultaneous Wireless Information and Power Transfer (SWIPT) is studied. Assuming availability of channel state…

信息论 · 计算机科学 2017-10-25 Deepak Mishra , George C. Alexandropoulos

In order to characterize the channel capacity of a wavelength channel in a wavelength-division multiplexed (WDM) system, statistical models are needed for the transmitted signals on the other wavelengths. For example, one could assume that…

信息论 · 计算机科学 2024-01-25 Erik Agrell , Magnus Karlsson

This paper proposes a model-driven deep learning (MDDL)-based channel estimation and feedback scheme for wideband millimeter-wave (mmWave) massive hybrid multiple-input multiple-output (MIMO) systems, where the angle-delay domain channels'…

信息论 · 计算机科学 2022-01-20 Xisuo Ma , Zhen Gao , Feifei Gao , Marco Di Renzo

By tailoring probabilistic constellation shaping (PCS) for nonlinearity tolerance, we experimentally demonstrate up to 1.1 dB increase in signal-to-noise ratio (SNR) and 6.4% increase in total net data rate (NDR) compared to…

信号处理 · 电气工程与系统科学 2020-12-10 Junho Cho , Xi Chen , Greg Raybon , Di Che , Ellsworth Burrows , Robert Tkach

Information-centric networking (ICN) facilitates content identification in networks and offers parametric representation of content semantics. This work, proposes an ICN/WDM network architecture that uses these features to offer superior…

网络与互联网体系结构 · 计算机科学 2016-08-30 Mays F. AL-Naday , Nikolaos Thomos , Martin J. Reed

This paper studies a system where a set of $N$ relay nodes harvest energy from the signal received from a source to later utilize it when forwarding the source's data to a destination node via distributed beamforming. To this end, we derive…

信息论 · 计算机科学 2017-03-07 Muhammad Ozair Iqbal , Ammar Mahmood , Muhammad Mahboob Ur Rahman , Qammer H. Abbasi

Achievable rates of the nonlinear frequency-division multiplexing (NFDM) and wavelength-division multiplexing (WDM) subject to the same power and bandwidth constraints are computed as a function of transmit power in the standard single-mode…

信息论 · 计算机科学 2020-06-05 Xianhe Yangzhang , Mansoor I. Yousefi , Alex Alvarado , Domanic Lavery , Polina Bayvel

In this paper, we analyze the frequency-hopping orthogonal frequency-division multiplexing (OFDM) system known as Multiband OFDM for high-rate wireless personal area networks (WPANs) based on ultra-wideband (UWB) transmission. Besides…

信息论 · 计算机科学 2016-11-15 C. Snow , L. Lampe , R. Schober

SNR margins between partially and fully loaded DWDM systems are estimated without detailed knowledge of the network. The ML model, trained on simulation data, achieves accurate predictions on experimental data with an RMSE of 0.16 dB.