Search Results - (( user evaluation cell algorithm ) OR ( based simulation model algorithm ))
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Q-learning based vertical handover decision algorithm in LTE-A two-tier macrocell-femtocell systems / Ammar Bathich
Published 2019“…New multi-criterion handover decision parameters are proposed in typical/dense femtocells in macrocells environment to estimate the target cell for handover. The proposed handover algorithms are validated using the LTE-Sim simulator under an urban environment. …”
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Thesis -
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Deep Learning-Driven Mobility And Utility-Based Resource Management In Mm-Wave Enable Ultradense Heterogeneous Networks
Published 2025thesis::doctoral thesis -
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Resource allocation techniques for interference mitigation in macro and femtocell heterogeneous network-based LTE system
Published 2017“…The first proposed hybrid approach consists of two combined schemes, termed as Resource Allocation based Fractional Frequency Reuse and Graph Connectivity algorithm (RAFFRGC). …”
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An Energy-Efficient User-Centric Approach High-Capacity 5G Heterogeneous Cellular Networks
Published 2018“…The evaluation is carried out by comparing a UC model against a NC model with the same simulation setup. …”
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Block based low complexity iterative QR precoder structure for Massive MIMO
Published 2021“…The simulation of quasi-static is used. We generate the model and evaluate the performance in MATLAB. …”
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Backhaul load and performance optimality of partial joint processing schemes in LTE-A networks
Published 2014“…However, the problem of performance degradation caused by InterCell-Interference (ICI) also raised for cell-edge users. …”
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Quality of service and scheduling performance optimization in LTE networks / Abubakar Auwal Idris
Published 2017“…The future work will consider to simulate multi cell scenario and the system complexity evaluation. …”
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Handover Decision-Making Algorithm for 5G Heterogeneous Networks
Published 2023“…The TOPSIS evaluates the network quality and chooses the best network based on user preference. …”
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Performance evaluation of LTE scheduling techniques for heterogeneous traffic and different mobility scenarios
Published 2015“…In this paper five scheduling algorithms were investigated and their performance was evaluated in terms of Fairness Index, Peak Throughput, Average Throughput and Edge Cell User Throughput. …”
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Incorporating the range-based method into GridSim for modeling task and resource heterogeneity
Published 2017“…In this paper, we propose a new simulation model that incorporates the range-based method into GridSim for modeling and simulating heterogeneous tasks and resources in order to capture the inherent heterogeneity of Grid environments that later can be used by other researchers to test their algorithms.…”
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Performance evaluation of LTE scheduling techniques for heterogeneous traffic and different mobility scenarios
Published 2014“…In this paper five scheduling algorithms were investigated and their performance was evaluated in terms of Fairness Index, Peak Throughput, Average Throughput and Edge Cell User Throughput. …”
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Proceeding Paper -
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A new dynamic code assignment algorithm for joint CDMA and SDMA system
Published 2008“…The probability of blocking is calculated to evaluate the system performance for different number of users and available codes. …”
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Conference or Workshop Item -
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A smart handover strategy for 5G mmWave dual connectivity networks
Published 2023“…The developed algorithm underwent testing using a 5G mmWave statistical channel model that emulates a dynamic channel matrix, including fading and the Doppler effect. …”
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Efficient radio resource management through coordinated multipoint transmission and carrier aggregation for LTE-advanced / Muhammad Hasibur Rashid Chayon
Published 2018“…The cell-center user gets multiple CCs from the same attached eNodeB (eNB). …”
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A Self-Adaptive Agent-Based Dynamic Processes Simulation Modelling Framework
Published 2023“…Adaptive algorithms; Agent based simulation; Agent-based simulation framework; Different domains; Domain specific; Dynamic process; Dynamic process simulation; Self-adaptive; Simulation framework; Simulation model; Simulation platform…”
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A meta-heuristics based input variable selection technique for hybrid electrical energy demand prediction models
Published 2017“…Genetic algorithm and simulated annealing techniques are used to optimize the control parameters of the neural network. …”
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Diagnosis of eyesight using Improved Clonal Selection Algorithm (ICLONALG) / Nor Khirda Masri
Published 2017“…The principle of ICLONALG is to select the best cells to be cloned and mutated by calculating similarity measurements of the most competent cells. …”
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Optimization of Prediction Error in CO2 Laser Cutting process by Taguchi Artificial Neural Network Hybrid with Genetic algorithm
Published 2013“…The potential of genetic algorithm in optimization was utilized in the proposed hybrid model to minimize the error prediction for regions of cutting conditions away from the Taguchi based factor level points. …”
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