An Overview of OFDM-UWB 60 GHZ System in High Order Modulation Schemes

Shawqi, Farooq Sijal; Audah, Lukman; Hamdi, Mustafa Maad; Hammoodi, Ahmed; Fayyad, Yassin Salih; Mohammed, Alaa Hamid

doi:10.1109/ismsit50672.2020.9255175

Cited by 15 publications

(1 citation statement)

References 22 publications

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“…Acceptable accuracy and optimum productivity case assessment using COV1D-19 IA frameworks. In welfare contexts, phonetic structures and discourse-perceiving robots are widely used to provide astute advice and services [15]. For eg, temperature prediction is minimized for such networks and open spaces in which certain frameworks enable workers to perform such regular tasks, as this is achieved precisely by integrating indenational computing, advancement in the field of picture recognition and infrarot imaging [16].…”

Section: Iiaccessive For Covid-19 Bassed Systemmentioning

confidence: 99%

The Avoidance And Detection Function Of Artificial Intelligence In Covid-19

Abdulateef¹,

Mohammed

Abdulateef

2021

2021 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)

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The whole planet today is having to fight COVID-19 with big obstacles. The COVID-19 influenced several countries around the world between December 2019 and the present day. Many organisations and scientists seek to find a vaccine and to minimize the spread of COVID-19. Artificial Intelligence is one technology that can successfully address this virus (AI). In the case of other pathogens, artificial intelligence performed very well and could help us cope with the virus COVID-19, too. It is the imagination and the information of the people who use it which will help to overcome this dilemma. In some previous instances AI played a major role in virus prevention and identification. We have an ability to detect certain aspects of the AI because of the COVID-19 crisis. Machine learning that an AI subclass is used to identify patterns and to plan valuable knowledge based on recorded data sets. At the point where used entirely, AI can exceed human efforts by speed and differentiate designs from knowledge previously ignored. However many correct and appropriate data are needed for effective implementation of AI systems. This paper discusses the AI's role in COVID-19 prevention and detection and examines numerous technological aspects of AI. This paper would also clarify where AI will contribute with likely solutions to stop the spread of COVID-19.

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Section: Iiaccessive For Covid-19 Bassed Systemmentioning

confidence: 99%

The Avoidance And Detection Function Of Artificial Intelligence In Covid-19

Abdulateef¹,

Mohammed

Abdulateef

2021

2021 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)

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The Pulse-Shaping Filter Influence over the GFDM-Based System

Bouslam

Amadid

Iqdour

et al. 2023

International Conference on Advanced Intelligent Systems for Sustainable Development

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Evaluating Performance: A Study of Encrypted vs. Unencoded Signals in SISO-OFDM with LS and MMSE Estimations

Abbas Imran,

Jasim Harbi

2024

BIO Web Conf.

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The continuous progress in digital communication has played a crucial role in meeting the increasing need for faster data rates. Orthogonal Frequency Division Multiplexing (OFDM), a pivotal methodology in this progression, attains improved data rates through the efficient utilisation of densely packed carriers within a specified channel bandwidth. This article focuses on the investigation of channel estimation in OFDM systems. the study of search lies in its examination of the performance consequences associated with the incorporation or lack thereof of a convolutional encoder in OFDM systems and looks at how well two well-known channel estimation algorithms, Least Square (LS) and Minimum Mean Square Error (MMSE), work in 4-Quadrature amplitude modulation (4-QAM) OFDM systems with and without a convolutional encoder with a comprehensive evaluation of the efficacy of the OFDM system across various channel conditions. It uses MATLAB implementations as its main tool. The findings of the study indicate that the MMSE algorithm, despite its higher complexity, exhibits superior performance in comparison to the LS algorithm when combined with a convolutional encoder. The gain in terms of bit error rate (BER) improvement approximately 12 dB. This represents the logarithmic scale improvement in BER from BER1(uncoded) to BER2(coded) at the same the energy per bit to noise power spectral density ratio (Eb/N0) of 40 dB.

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An Overview of OFDM-UWB 60 GHZ System in High Order Modulation Schemes

Cited by 15 publications

References 22 publications

The Avoidance And Detection Function Of Artificial Intelligence In Covid-19

The Avoidance And Detection Function Of Artificial Intelligence In Covid-19

The Pulse-Shaping Filter Influence over the GFDM-Based System

Evaluating Performance: A Study of Encrypted vs. Unencoded Signals in SISO-OFDM with LS and MMSE Estimations

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