Results 31 to 40 of about 1,050,910 (295)

Nondata-Aided Error Vector Magnitude Analysis of $\eta-\mu$ Fading Channels in Device-to-Device Communications

IEEE Access, 2019
Transmission in non-line-of-sight (NLOS) conditions has a poor throughput in device-to-device (D2D) communications. In order to achieve high throughput, adaptive modulation has been selected as a spectrally-efficient transmission technology.
Fan Yang, Haiwei Mao, Xiaoping Zeng, Xin Jian, Shu Fu, Bin Wu, Xiaoheng Tan, Jihua Zhou   +7 more
doaj   +1 more source

Millimeter-wave communication for a last-mile autonomous transport vehicle [PDF]

, 2020
Low-speed autonomous transport of passengers and goods is expected to have a strong, positive impact on the reliability and ease of travelling. Various advanced functions of the involved vehicles rely on the wireless exchange of information with other ...
Higgins, Matthew D., Jennings, Paul A., Kampert, Erik, Schettler, Christoph, Woodman, Roger   +4 more
core   +1 more source

A Simple and Efficient IQ Data Compression Method Based on Latency, EVM, and Compression Ratio Analysis

IEEE Access, 2019
Latency, error vector magnitude (EVM) and compression ratio (CR) are performance evaluation factors of IQ data compression. The purposes of IQ data compression are to minimize the latency, EVM and to maximize the CR.
Jewon Lee, Eunhee Hyun, Joon-Young Jung
doaj   +1 more source

Linear Regression vs. Deep Learning for Signal Quality Monitoring in Coherent Optical Systems

IEEE Photonics Journal, 2022
Error vector magnitude (EVM) is a metric for assessing the quality of m-ary quadrature amplitude modulation (mQAM) signals. Recently proposed deep learning techniques, e.g., feedforward neural networks (FFNNs) -based EVM estimation scheme leverage fast ...
Yuchuan Fan, Xiaodan Pang, Aleksejs Udalcovs, Carlos Natalino, Lu Zhang, Sandis Spolitis, Vjaceslavs Bobrovs, Richard Schatz, Xianbin Yu, Marija Furdek, Sergei Popov, Oskars Ozolins   +11 more
doaj   +1 more source

Sparsity-Based Error Detection in DC Power Flow State Estimation

, 2016
This paper presents a new approach for identifying the measurement error in the DC power flow state estimation problem. The proposed algorithm exploits the singularity of the impedance matrix and the sparsity of the error vector by posing the DC power ...
Amini, M. Hadi, Atia, George, Boroojeni, Kianoosh G., Iyengar, S. S., Karabasoglu, Orkun, Rahmani, Mostafa   +5 more
core   +1 more source

On Linear and Circular Approach to GPS Data Processing: Analyses of the Horizontal Positioning Deviations Based on the Adriatic Region IGS Observables

Data, 2021
Global and regional positional accuracy assessment is of the highest importance for any satellite navigation system, including the Global Positioning System (GPS).
Davor Šakan, Serdjo Kos, Biserka Drascic Ban, David Brčić   +3 more
doaj   +1 more source

On the Equalization of an OFDM-Based Radio-over-Fiber System Using Neural Networks [PDF]

Radioengineering, 2017
In this study the impact of a Radio-over-Fiber (RoF) subsystem on the performance of Orthogonal Frequency Division Multiplexing (OFDM) system is evaluated.
L. Safari, G. Baghersalimi, A. Karami, A. Kiani   +3 more
doaj  

Experimental Demonstration of an Indoor VLC Positioning System Based on OFDMA [PDF]

, 2017
We propose an indoor visible light communication (VLC) and positioning system using the orthogonal frequency division multiplexing access (OFDMA) scheme, which can provide both indoor positioning and communications.
Ghassemlooy, Zabih, Li, Yiwei, Lin, Bangjiang, Lin, Chun, Tang, Xuan   +4 more
core   +1 more source

Spectral and Energy Efficiency of IRS-Assisted MISO Communication with Hardware Impairments [PDF]

, 2020
In this letter, we analyze the spectral and energy efficiency of an intelligent reflecting surface (IRS)-assisted multiple-input single-output (MISO) downlink system with hardware impairments.
Alouini, Mohamed-Slim, Di Renzo, Marco, Wang, Kezhi, Xu, Wei, Zhou, Shaoqing   +4 more
core   +4 more sources

Nondata-aided error vector magnitude based adaptive modulation over rapidly time-varying channels

Tongxin xuebao, 2017
A novel nondata-aided error vector magnitude based adaptive modulation(NDA-EVM-AM) was proposed to solve the problem of lower spectral efficiency over rapidly time-varying wireless channels.Namely,NDA-EVM was considered as a metric to reflect the rapid ...
Fan YANG, Xiao-ping ZENG, Xin JIAN, Ji-hua ZHOU, Ding-liang RUAN, Yi-wen GAO   +5 more
doaj   +2 more sources