Ahmed A. Thabit

@ruc.edu.iq

Computer communication Engineering department
Al-Rafidain University College



                       

https://researchid.co/ahmedthabit

Assistant Professor (PhD) in Communication Engineering at AL- Rafidain university

EDUCATION

PhD in electronic and communication engineering

RESEARCH INTERESTS

cognitive radio, detection theory, communication engineering, radar, PLL

19

Scopus Publications

180

Scholar Citations

6

Scholar h-index

3

Scholar i10-index

Scopus Publications

  • Development of a System Based on a Graphical User Interface Using MATLAB Tools


  • Jellyfish Search Optimization with Deep Learning Driven Autism Spectrum Disorder Classification
    S. Rama Sree, Inderjeet Kaur, Alexey Tikhonov, E. Laxmi Lydia, Ahmed A. Thabit, Zahraa H. Kareem, Yousif Kerrar Yousif, and Ahmed Alkhayyat

    Computers, Materials and Continua (Tech Science Press)

  • Distributed Video Codec Based on Wavelet Transform
    Haider Mahmood Jawad, Ahmed A. Thabit, Mikola Patlayenko, Olena Osharovska, Valentina Solodka, and Volodymyr Pyliavskyi

    IEEE
    This paper considers the implementation of distributed video coding based on hierarchical wavelet transform. The low - frequency coefficients of the eighth and ninth decomposition levels are transmitted as key frames. Every second frame is skipped and interpolated in the decoder by key frames and additional (side) information containing wavelet coefficient prediction errors and considered as motion vectors. A comparison of the developed software complex and the DISCOVER codec was made based on the dependence of the signal-to-noise ratio on the bitrate. The concept of movement complexity is introduced and the gain from the application of the developed algorithm for generating side information using the BD-PSNR criterion is estimated for different video sequences.

  • Cognitive Radio and Its Applications in the New Trend of Communication System: A Review
    Haider Al-Sudani, Ahmed A. Thabit, and Yaser Dalveren

    IEEE
    Spectrum efficiency decay due to high demand for high data rate and growing technologies, tens of billions of connected devices need to provide by the services wirelessly causing a sharp drop in spectral efficiency and high-power consumption. The software-defined technologies represent one of the most important enabling keys to 5G and beyond networks, which designed to host all emerging technologies in heterogeneous networks. Cognitive radio (CR) is a software-defined radio (SDR) and a magical tool to relieve spectrum scarcity and reduce the consumed power for communication. This paper surveys the detection techniques integrated with artificial neural networks (ANN) in heterogeneous networks to address a future work to accelerate the establishment of reconfigurable software-defined technologies and to succor the spectrum. It is found that wireless sensor network (WSN) and the internet of things (IoT) are expected to be the most influencers of the spectrum’s solidity which have led the authors to conclude interesting future work.

  • Implementation and Evaluation of Cognitive Radio by FPGA for IoT Applications


  • Simulation of a New Algorithm to Enhance the Spectral Efficiency of 5G for IoT Applications


  • A Proposed Cognitive Radio to Minimize the Sensing Time for High Frequency Receivers Based on Neural Network
    Ahmed A. Thabit

    IEEE
    Cognitive radio (CR) is the exciting emerging technology that has the ability to deal with the requirements of the frequency spectrum. This new technology illustrates new developments in communications systems, because CR allows usage of the frequency spectrum more efficiently. As an example of the challenges related to CR system is the detection of the founded authorized users (PU) over a large range of frequency band at a precise time called sensing time (Ts). To increase the detection reliability of the primary users at minimum sensing time, an adaptive CR system have been built in this work based on neural network to identify if signal or noise. The system consists of feature extraction and decision stages was designed with help of Numeral Virtual Generalizing RAM (NVG-RAM) weightless neural network (WNN). Obtained simulation results of the proposed system are tested at different noisy channels: as AWGN and fading channels (Rayleigh and Rician). The results shows that probability of detection (Pd)=100% at -38 dB. at very low sensing time equal to 0.4 msec. A novel technique is also presented to estimate SNR for CR by statistical features by calculation the moment and cumulants for different modulated noisy signals. This is an indirect method for SNR measurements based on statistical features.

  • Challenges and Solutions of 5G Technology
    Ahmed A. Thabit, Bassam H. Abd, and Ahmed Alkhayyat

    IEEE
    Mobile access innovation is experiencing a progressive change. Every mobile generation witnessed fast and huge execution upgrades. These are proportional with the requests of the massive data increasing over the last years. There is significant strain to characterize the vital necessities of 5G, create 5G principles and perform innovation preliminaries as fast as could really be expected. 5G needs a progressive jump forward regarding information rates, inactivity, huge availability, network unwavering quality and energy efficiency. These capacities are focused at acknowledging rapid network, IoT, increased augmented experience, the material web, etc. The prerequisites for 5G are need to be done by new range in the microwave groups and using enormous data transfer capacities accessible in mm-wave groups, expanding spatial levels of opportunity by means of huge radio wire clusters and 3D MIMO and new waveforms that give versatility and adaptability in order to fulfill fluctuating needs of 5G administrations. In this paper, we introduce a review for 5G exploration, normalization preliminaries, and organization challenges. Because of gigantic extent of 5G frameworks, it is important to give some bearing in an instructional exercise article, and in this outline, the center is generally client driven, as opposed to gadget driven. Notwithstanding studying the condition of play in the region, we distinguish driving innovations, assessing their qualities and shortcomings, and framework the critical difficulties ahead, with research proving grounds conveying promising execution.

  • Design and software implementation of radio frequency satellite link based on SDR under noisy channels
    Ahmed A. Thabit

    Universitas Ahmad Dahlan
    The satellite communication providea utilization of radio frequency links. Specific frequencies are dedicated for satellite correspondences through global administrative and coordination procedures which keeps impedance amongframeworks. Over typical work, the satellite receives uplinked indicator fromearth. Progressions its frequency marginally will keep away from self-intervention then re-transmits signal ahead the downlink on the land. Pathloss depicts characteristic Propagate outside the sending signal front as it goes bythe space. A  software defined radio (SDR) is a flexible technology that aimsto replace all hardware by software to enables the design of adaptive communications systems such as changing frequencies, modulation schemes and data rates. Applied to small satellites, some of the implications areincreased data through put when down-linking or up-linking by varying communications parameters and making use of one hardware design and implementation for communicating for many missions, just by updating the software. Therefore, development time for small satellite communication systems can be reduced in the future. This paper analyzes, design and software implementation of radio frequency satellite communications links under noisy channels such as phase/frequency offsets and noise temperature. Modulation schemes such as 64QAM system is used based on Matlab tools to implement the results. Obtained results shows a good response that get the goal from the paper.

  • Jammer device: Implementation for GSM in Iraq
    Ahmed A. Thabit

    IEEE
    In our daily life, the cell phones produce burden in the spots where the quietness and security are significant. Just as, in specific areas the utilizing of telephones is declined because of the security reasons and in test classes. Jammers are devices cutoff the link between the cellphone/base stations by means of transmit a sign in a similar freq. Yet bigger power with no interference inside correspondences another cell at the predefined area. In this paper, jammer device for GSM 900, 1800 MHz is designed and implemented to make an impermanent dead land on GSM in Iraq so as to make mobile phone not accept or send the signs to basestation. Originally, Jammers are allocated for military to save people but recently it used civilian. Proposed system has the ability to show you whether the system is work or not via the LCD that show messages for events during the work with the Arduino.

  • Design and Software Implementation of Analog and Digital Filters for Coherent Receivers under Noisy Channels
    Ahmed A. Thabit

    IOP Publishing
    Abstract One of the most important stations in any communications system is the filtering station. Due to the noise power that effects on the signal, the system must include filtering process to eliminate this effect. In this paper, analog and digital filters are designed and implemented using Matlab tools to solve the problems occurred during receiving the signal that effects on the synchronization such as those for coherent receivers. The offsets of Phase and frequency are major problems in the identification of signals that results reduction in the performance; such as, whenever higher order modulations are used. Two systems are designed and simulated. The first one is analog system and the second one is digital system. 3rd order Butterworth filter is selected for system one and digital IIR filter is selected for system two. Filter order was selected according to diagnosis the level of noise power and the transmitted frequency to meet certain frequency domain design specifications. Obtained results showed excellent performance in the receiving and demodulating the received signal. Evaluation of the results is basically depend on comparison between the transmitted and received samples.

  • Energy harvesting Internet of Things health-based paradigm: Towards outage probability reduction through inter–wireless body area network cooperation
    Ahmed A Thabit, Mahmoud Shuker Mahmoud, Ahmed Alkhayyat, and Qammer H Abbasi

    SAGE Publications
    In today’s healthcare environment, the Internet of Things technology provides suitability among physicians and patients, as it is valuable in numerous medicinal fields. Wireless body sensor network technologies are essential technologies in the growth of Internet of Things healthcare paradigm, where every patient is monitored utilising small-powered and lightweight sensor nodes. A dual-hop, inter–wireless body sensor network cooperation and an incremental inter–wireless body sensor network cooperation with energy harvesting in the Internet of Things health-based paradigm have been investigated and designed in this work. The three protocols have been named and abbreviated as follows: energy harvesting–based dual-hop cooperation, energy harvesting–based inter–wireless body sensor network cooperation and energy harvesting–based incremental inter–wireless body sensor network cooperation. Outage probabilities for the three designed protocols were investigated and inspected, and mathematical expressions of the outage probabilities were derived. The simulation and numerical results showed that the energy harvesting–based incremental inter–wireless body sensor network cooperation provided superior performance over the energy harvesting–based inter–wireless body sensor network cooperation and energy harvesting–based dual-hop cooperation by 1.38 times and 5.72 times, respectively; while energy harvesting–based inter–wireless body sensor network cooperation achieved better performance over energy harvesting–based dual-hop cooperation by 1.87 times.

  • Energy Harvesting based System: Toward Outage Probability Minimizing of WBSN
    A. Hussien Radie and Ahmed A. Thabit

    IEEE
    The dual-hop and inter-WBSN (wireless body sensors network) cooperation with energy harvesting in health-based paradigms have been investigated and designed in this work. The two protocols have been named and abbreviated as follows: energy harvesting based dual-hop cooperation (EH-DH), energy harvesting based inter-WBSN cooperation (EH-IWC) and energy harvesting-based incremental inter-WBSN cooperation (EH-IIWC). The outage probabilities for three designed protocols were investigated and inspected, and the mathematical expression of outage probabilities was derived.

  • WBAN health care-based: Modeling Signal to Interference ratio with Different MAC Protocols
    Ahmed alkhayyat, Ahmed A. Thabit, and Ali Adil Ali

    IEEE
    Wireless Body Area Network (WBAN) is widely used in E-healthcare system as it provides continuous monitoring on physiological parameters. However, when two or more WBANs overlap with each other, there exists inter-WBAN interference. The inter-WBAN interference may cause transmission failures. In this paper, the signal to interterfernce ratio with different medium access control protocols, such as ALOHA, CSMA/CA and CSMA/CA with reservation is modelled and derived based on the honey grid model.

  • Design and implementation of a new detection system based on statistical features for different noisy channels
    Ahmed A. Thabit and Hadi T. Ziboon

    ACM Press
    Day by day the frequency spectrum became unable to provide the service that user needs. The frequency spectrum became more crowded due to increasing the number of users. One of the solutions to minimize this problem is the cognitive radio (CR). This paper includes design and FPGA implementation of a new CR based on feature selection to increase the probability of detection (Pd) for different modulation systems. This design is based on statistical features that used to distinguish between signal and the noise. The system shows an excellent performance of a detection probability as compared with the traditional detection methods. Both AWGN and fading channels are tested in order to proof the performance of the proposed system. The obtained simulation results provide Pd equals to 100% at SNR is -18dB for 6000 sample. Also there are high similarity between the simulation and practical implementation. Xilinx Spartan-3A DSP 3400A is used to implement the proposed detection systems.

  • Design and implementation of cognitive radio (CR) based on Xilinx FPGA


  • WBSN in IoT health-based application: Toward delay and energy consumption minimization
    Ahmed Alkhayyat, Ahmed A. Thabit, Fahad A. Al-Mayali, and Qammer H. Abbasi

    Hindawi Limited
    The wireless body sensor network (WBSN) technologies are one of the essential technologies of the Internet of things (IoT) growths of the healthcare paradigm, where every patient is monitored through a group of small-powered and lightweight sensor nodes. Thus, energy consumption is a major issue in WBSN. The major causes of energy wastage in WBSN are collisions and retransmission process. However, the major cause of the collision happened when two sensors are attempting to transmit data at exactly the same time and same frequency, and the major cause of the retransmission process happened when the collision takes place or data does not received properly due to channel fading. In this paper, we proposed a cognitive cooperative communication with two master nodes, namely, as two cognitive master nodes (TCMN), which can eliminate the collision and reduce the retransmission process. First, a complete study of a scheme is investigated in terms of network architecture. Second, a mathematical model of the link and outage probability of the proposed protocol are derived. Third, the end-to-end delay, throughput, and energy consumption are analyzed and investigated. The simulation and numerical results show that the TCMN can do system performance under general conditions with respect to direct transmission mode (DTM) and existing work.


  • A new proposed adaptive Cognitive Radio detection system based on MLP neural network for different modulation schemes


RECENT SCHOLAR PUBLICATIONS

  • Jellyfish search optimization with deep learning driven autism spectrum disorder classification
    YKYAA S. Rama Sree, Inderjeet Kaur, Alexey Tikhonov, E. Laxmi Lydia, Ahmed A ...
    Computers, Materials and Continua 74 (1), 2195-2209 2023

  • Distributed Video Codec Based on Wavelet Transform
    HM Jawad, AA Thabit, M Patlayenko, O Osharovska, V Solodka, ...
    2022 30th National Conference with International Participation (TELECOM), 1-4 2022

  • Cognitive Radio and Its Applications in the New Trend of Communication System: A Review
    H Al-Sudani, AA Thabit, Y Dalveren
    2022 5th International Conference on Engineering Technology and its 2022

  • Implementation and Evaluation of Cognitive Radio by FPGA for IoT Applications
    MK Ahmed A. Thabit
    Emerging Technology Trends on the Smart Industry and the Internet of Things 2022

  • Simulation of a New Algorithm to Enhance the Spectral Efficiency of 5G for IoT Applications
    AMJ Ahmed A. Thabit, H. M. Jawad
    Emerging Technology Trends on the Smart Industry and the Internet of Things 2022

  • A Proposed Cognitive Radio to Minimize the Sensing Time for High Frequency Receivers Based on Neural Network
    AA Thabit
    2021 7th International Conference on Space Science and Communication 2021

  • Challenges and Solutions of 5G Technology
    AA Thabit, BH Abd, A Alkhayyat
    2021 4th International Iraqi Conference on Engineering Technology and Their 2021

  • Design and software implementation of radio frequency satellite link based on SDR under noisy channels
    AA Thabit
    TELKOMNIKA (Telecommunication Computing Electronics and Control) 18 (6 2020

  • Jammer device: Implementation for GSM in Iraq
    AA Thabit
    2020 3rd International Conference on Engineering Technology and its 2020

  • Design and Software Implementation of Analog and Digital Filters For Coherent Receivers under Noisy Channels
    AA Thabit
    2020

  • Energy Harvesting based System: Toward Outage Probability Minimizing of WBSN
    AH Radie, AA Thabit
    2019 2nd International Conference on Engineering Technology and its 2019

  • WBAN health care-based: Modeling Signal to Interference ratio with Different MAC Protocols
    AA Thabit, AA Ali
    2019 2nd International Conference on Engineering Technology and its 2019

  • WBSN in IoT Health-Based Application: Toward Delay and Energy Consumption Minimization
    QHA Ahmed Alkhayyat, Ahmed A. Thabit, Fahad A. Al-Mayali
    Journal of Sensors 2019 2019

  • Design and implementation of a new detection system based on statistical features for different noisy channels
    AA Thabit, HT Ziboon
    Proceedings of the International Conference on Information and Communication 2019

  • DESIGN AND IMPLEMENTATION OF CELL PHONE JAMMER
    AA Thabit
    2019

  • Energy harvesting Internet of Things health-based paradigm: Towards outage probability reduction through inter–wireless body area network cooperation
    QHA Ahmed A Thabit, Mahmoud Shuker Mahmoud, Ahmed Alkhayyat
    International Journal of Distributed Sensor Networks 15 (10), 1-12 2019

  • DESIGN AND IMPLEMENTATION OF COGNITIVE RADIO BASED ON XILINX FPGA
    AAT Ekhlas K. Hamza, Laheeb S. Mahdy
    ARPN Journal of Engineering and Applied Sciences 14 (4), 892-897 2019

  • Shaping the Future of ICT Trends in Information Technology, Communications Engineering, and Management
    AB Ibrahiem M. M. El Emary
    CRC Press 2017

  • Design and Simulation of Adaptive Cognitive Radio Based on Software- Defined Radio (SDR) Using Higher-Order Moments and Cumulants
    HTZ Ahmed Abdulridha Thabit
    Shaping the Future of ICT: Trends in Information Technology, Communications 2017

  • A new proposed adaptive cognitive radio detection system based on MLP neural network for different modulation schemes
    HTZAA Thabit
    ARPN Journal of Engineering and Applied Sciences 12 (2), 521-527 2017

MOST CITED SCHOLAR PUBLICATIONS

  • WBSN in IoT Health-Based Application: Toward Delay and Energy Consumption Minimization
    QHA Ahmed Alkhayyat, Ahmed A. Thabit, Fahad A. Al-Mayali
    Journal of Sensors 2019 2019
    Citations: 76

  • Energy harvesting Internet of Things health-based paradigm: Towards outage probability reduction through inter–wireless body area network cooperation
    QHA Ahmed A Thabit, Mahmoud Shuker Mahmoud, Ahmed Alkhayyat
    International Journal of Distributed Sensor Networks 15 (10), 1-12 2019
    Citations: 39

  • A new proposed adaptive cognitive radio detection system based on MLP neural network for different modulation schemes
    HTZAA Thabit
    ARPN Journal of Engineering and Applied Sciences 12 (2), 521-527 2017
    Citations: 12

  • Energy Harvesting based System: Toward Outage Probability Minimizing of WBSN
    AH Radie, AA Thabit
    2019 2nd International Conference on Engineering Technology and its 2019
    Citations: 8

  • Shaping the Future of ICT Trends in Information Technology, Communications Engineering, and Management
    AB Ibrahiem M. M. El Emary
    CRC Press 2017
    Citations: 8

  • Cognitive Radio and Its Applications in the New Trend of Communication System: A Review
    H Al-Sudani, AA Thabit, Y Dalveren
    2022 5th International Conference on Engineering Technology and its 2022
    Citations: 7

  • A New Adaptive Two Stage Spectrum Sensing Technique in Cognitive Radio System for Different Modulation Schemes
    AAT Hadi T. Ziboon
    Research Journal of Applied Sciences, Engineering and Technology Maxwell 2016
    Citations: 5

  • DESIGN AND IMPLEMENTATION OF COGNITIVE RADIO BASED ON XILINX FPGA
    AAT Ekhlas K. Hamza, Laheeb S. Mahdy
    ARPN Journal of Engineering and Applied Sciences 14 (4), 892-897 2019
    Citations: 4

  • Design and Simulation of Digital PLL Synchronizer for BPSK and QPSK Based on Software Defined Radio
    H T Ziboon, A A Thabit
    Engineering and Technology Journal 27 (10), 2008-2026 2009
    Citations: 4

  • Challenges and Solutions of 5G Technology
    AA Thabit, BH Abd, A Alkhayyat
    2021 4th International Iraqi Conference on Engineering Technology and Their 2021
    Citations: 3

  • Design and implementation of a new detection system based on statistical features for different noisy channels
    AA Thabit, HT Ziboon
    Proceedings of the International Conference on Information and Communication 2019
    Citations: 3

  • A new proposed adaptive cognitive radio detection system design based on statistical feature for different modulation schemes
    AA Thabit, HT Ziboon
    International Conference on Change, Innovation, Informative and Disruptive 2016
    Citations: 3

  • Jellyfish search optimization with deep learning driven autism spectrum disorder classification
    YKYAA S. Rama Sree, Inderjeet Kaur, Alexey Tikhonov, E. Laxmi Lydia, Ahmed A ...
    Computers, Materials and Continua 74 (1), 2195-2209 2023
    Citations: 2

  • Design and Software Implementation of Analog and Digital Filters For Coherent Receivers under Noisy Channels
    AA Thabit
    2020
    Citations: 2

  • Improving Probability of Detection using CFAR and Adaptive Threshold for Cognitive Radio (CR)
    HTZ Ahmed Abdulridha Thabit
    International Journal of Engineering and Advanced Technology 4 (5) 2015
    Citations: 2

  • Design and software implementation of radio frequency satellite link based on SDR under noisy channels
    AA Thabit
    TELKOMNIKA (Telecommunication Computing Electronics and Control) 18 (6 2020
    Citations: 1

  • DESIGN AND IMPLEMENTATION OF CELL PHONE JAMMER
    AA Thabit
    2019
    Citations: 1