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  1. 1
    Teletraffic performance of mobile cellular channel assignment using genetic algorithm

    Teletraffic performance of mobile cellular channel assignment using genetic algorithm by Kiong T.S., Ismail M., Hassan A.

    Published 2023
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  2. 2
    Cluster optimization in VANET using MFO algorithm and K-Means clustering

    Cluster optimization in VANET using MFO algorithm and K-Means clustering by Ramlee, Sham Rizal, Hasan, Sazlinah, K. Subramaniam, Shamala

    Published 2023
    “…Introduce MFO algorithm for simulate the movement behavior of moths and update the position based upon movements. …”
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  3. 3
    Low Complexity Error Correction in Low Density Parity Check (LDPC) Code Decoder and Encoder for Decode and Forward Cooperative Wireless Communication

    Low Complexity Error Correction in Low Density Parity Check (LDPC) Code Decoder and Encoder for Decode and Forward Cooperative Wireless Communication by JAM'AAH, SUUD

    Published 2021
    “…The source to relay channel is modelled as a cooperative fading that is used extensively in cooperative communication. From the result simulation, the VGOMS algorithm outperforms than well-known existing LDPC code decoding algorithm min-sum, is comparable with Normalized min-sum (NMS), and Offset min-sum (OMS), and closed near to Sum-Product (SP) algorithm at higher SNR in terms of error rate performance. …”
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  4. 4
    Investigation of enhanced particle swarm optimization algorithm for the OFDMA interference management in heterogeneous network

    Investigation of enhanced particle swarm optimization algorithm for the OFDMA interference management in heterogeneous network by Hasan, Mohammad Kamrul, Ismail, Ahmad Fadzil, Hashim, Wahidah, Islam, Shayla

    Published 2016
    “…This paper proposes the subcarrier allocation approach through investigating previous methods, and also the Enhanced Particle Swarm Optimization (PSO) algorithm is analyzed. …”
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  5. 5
    PAPR Reduction Using Genetic Algorithm (GA) In OFDM System

    PAPR Reduction Using Genetic Algorithm (GA) In OFDM System by Mohd Ramdan, Fatin Najwa Nursyadza

    Published 2018
    “…GA is a type of optimization algorithm, which is natural-based selection and is used to find the optimal solution to the computational problem that maximizes or minimizes a particular function. …”
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    Monograph
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  6. 6
    Development of optimized damage prediction method for health monitoring of ultra high performance fiber-reinforced concrete communication tower

    Development of optimized damage prediction method for health monitoring of ultra high performance fiber-reinforced concrete communication tower by Gatea, Sarah Jabbar

    Published 2018
    “…Therefore, this study aims to develop a new health monitoring system for communication towers based on AdaBoost, Bagging, and RUSBoost algorithms as hybrid algorithm, which can predict the damage by using noisy, random, unstable, and skewed frequency data with high accuracy. …”
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  7. 7
    Low computational complexity for optimizing energy efficiency in mm-wave hybrid precoding system for 5G

    Low computational complexity for optimizing energy efficiency in mm-wave hybrid precoding system for 5G by Salh, Adeb, Audah, Lukman, Abdullah, Qazwan, Aydoğdu, Ömer, A. Alhartomi, Mohammed, Alsamhi, Saeed Hamood, A. Almalki, Faris, M. Shah, Nor Shahida

    Published 2021
    “…The simulation results demonstrate that the proposed algorithm for MU - mMIMO systems improves EE. …”
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  8. 8
    Low computational complexity for optimizing energy efficiency in mm-wave hybrid precoding system for 5G

    Low computational complexity for optimizing energy efficiency in mm-wave hybrid precoding system for 5G by Salh, Adeb, Audah, Lukman, Abdullah, Qazwan, Aydoğdu, Ömer, A. Alhartomi, Mohammed, Alsamhi, Saeed Hamood, A. Almalki, Faris, M. Shah, Nor Shahida

    Published 2021
    “…The simulation results demonstrate that the proposed algorithm for MU - mMIMO systems improves EE. …”
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  9. 9
    A novel bio-inspired routing algorithm based on ACO for WSNs

    A novel bio-inspired routing algorithm based on ACO for WSNs by Sharmin, Afsah, Anwar, Farhat, Motakabber, S. M. A.

    Published 2019
    “…The proposed algorithm has been simulated and verified using MATLAB and the simulation results demonstrate that new ACO based algorithm achieved improved performance, about 30% improvement compared with the traditional ACO algorithm, and faster convergence to determine the best cost route, and recorded an improvement in the energy consumption of the nodes per transmission.…”
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  10. 10
    Distributed joint power control, beamforming and spectrum leasing for cognitive two-way relay networks

    Distributed joint power control, beamforming and spectrum leasing for cognitive two-way relay networks by Iranpanah, Havzhin

    Published 2017
    “…A search method with numerous advantages over conventional algorithms, has been designed to solve the optimization problems with an enhanced global optimality and convergence speed. …”
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  11. 11
    Transmission path optimization Based on Efficiency Communication System

    Transmission path optimization Based on Efficiency Communication System by Jin Fan, Kit, Guan Lim, Sin, Helen Ee Chuo, Min, Keng Tan, Ali Farzamnia, Tze, Kenneth Kin Teo

    Published 2022
    “…In this paper, routing attribute table that is maintained by the nodes, the density and relative distance of node distribution, is used to determine the clustering method. At the same time, the developed algorithm combines the relative position of the cluster and the base station to further improve the routing method of the sub-cluster head, Finally, the algorithm analyzes the influence of different parameters on the transmission path, and use the simulation experiments to evaluate the conclusions.…”
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  12. 12
    Mobility management schemes based on multiple criteria for optimization of seamless handover in long term evolution networks

    Mobility management schemes based on multiple criteria for optimization of seamless handover in long term evolution networks by Hussein, Yassein Soubhi

    Published 2014
    “…The results demonstrated that our proposed method results in significant reductions of HOF, HOPP and packet loss ratio (PLR) compared to the conventional HHO and enhanced weighted performance HO parameter optimization (EWPHPO) algorithm. …”
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  13. 13
    Dynamic smart grid communication parameters based cognitive radio network

    Dynamic smart grid communication parameters based cognitive radio network by Haider H.T., Muhsen D.H., Shahadi H.I., See O.H., Elmenreich W.

    Published 2023
    “…Simulation results highlight the superiority of the proposed system in terms of accuracy and convergence as compared with other evolution algorithms (genetic optimization, particle swarm optimization, and ant colony optimization) for different communication modes (power saving mode, high throughput mode, emergency communication mode, and balanced mode). � Czech Technical University in Prague, 2019.…”
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  14. 14
    A study on channel coding for 5G / Xu Wei

    A study on channel coding for 5G / Xu Wei by Xu , Wei

    Published 2019
    “…In addition, the performances of Polar code under different decoding algorithms and different construction method are simulated and compared. …”
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  15. 15
    Enhancing NoC-based MPSoC performance: a predictive approach with ANN and guaranteed convergence arithmetic optimization algorithm

    Enhancing NoC-based MPSoC performance: a predictive approach with ANN and guaranteed convergence arithmetic optimization algorithm by Muhsen, Yousif Raad, Husin, Nor Azura, Zolkepli, Maslina, Manshor, Noridayu, Al-Hchaimi, Ahmed Abbas Jasim, Ridha, Hussein Mohammed

    Published 2023
    “…The main idea of the proposed method is to develop a prediction model, speci‚cally an Arti‚cial Neural Network (ANN) optimized using the Guaranteed Convergence Arithmetic Optimization Algorithm (GCAOA-ANN), for predicting the utilized routing algorithm in NoC-based MPSoC platform during the DSE process. …”
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  16. 16
    Prediction and multi-criteria-based schemes for seamless handover mechanism in mobile WiMAX networks

    Prediction and multi-criteria-based schemes for seamless handover mechanism in mobile WiMAX networks by Mubarak, Mohammed Awadh Ahmed Ben

    Published 2013
    “…For real-time applications, simulation results show that RFuzSAHO decision algorithm enhances the VoIP quality (Mean Opinion Score, MOS) up to 5.4% compared to FuzSAHO algorithm when the MS velocity is 20m/s.…”
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  17. 17
    FPGA Implementation of Multi-User Detection Genetic Algorithm Tool for SDMA-OFDM Systems

    FPGA Implementation of Multi-User Detection Genetic Algorithm Tool for SDMA-OFDM Systems by Alansi, M., Elshafiey, I., Al-Sanie, A., Mabrouk, A.

    Published 2016
    “…Real-time based implementation of MUD systems has the potential to play a major role in next-generation communication systems.…”
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  18. 18
    Performance evaluation of Location-Sensitive Handoff using positioning method / Azuwa Ali and Saiful Fadzli Salian

    Performance evaluation of Location-Sensitive Handoff using positioning method / Azuwa Ali and Saiful Fadzli Salian by Ali, Azuwa, Salian, Saiful Fadzli

    Published 2009
    “…New algorithm is also proposed in order to enhance handoff process.…”
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    Research Reports
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  19. 19
    Complex-valued nonlinear adaptive filters for noncircular signals

    Complex-valued nonlinear adaptive filters for noncircular signals by Cyprian, Amadi Chukwuemena

    Published 2017
    “…The augmented CNGD has shown low Means Square Error (MSE) capabilities and have optimal performance than the conventional algorithm. …”
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  20. 20
    A calibration framework for swarming ASVs' system design

    A calibration framework for swarming ASVs' system design by Zainal Abidin, Zulkifli

    Published 2012
    “…Swimming pool provides as a controlled calibration framework for the proposed swarming algorithm. The performance of the system is determined by firstly, its capability to allow the various robots to communicate amongst themselves in order to reach the desired location and secondly, the use of optimization in its searching strategy. …”
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