Search Results - (( intelligence system acs algorithm ) OR ( intelligence packet scheduling algorithm ))
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A study of packet scheduling algorithms in long term evolution-advanced
Published 2019“…Majority of the previous studies of packet scheduling algorithms for LTE-Advanced did not take the effect of channel impairments into account. …”
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A study of packet scheduling with mobile cellular channel impairments
Published 2012“…This paper studies a number of low complexity real time packet scheduling algorithms developed for the legacy mobile cellular systems. …”
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Proceeding Paper -
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A study of packet scheduling with mobile cellular channel impairments
Published 2012“…This paper studies a number of low complexity real time packet scheduling algorithms developed for the legacy mobile cellular systems. …”
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Proceeding Paper -
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Channel-aware downlink scheduling for quality of service in long term evolution network
Published 2018“…The output results indicate that the proposed DoRA scheduling algorithm outperforms DBWPF in providing a minimum level of end-to-end delay.…”
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Thesis -
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Adaptive resource allocation algorithms with QoS support based on network conditions using fuzzy logic system for IEEE 802.11n networks / Bakeel Hussein Naji Maqhat
Published 2016“…The aim of this thesis is to develop a fair and efficient packet scheduling and adaptive bandwidth allocation algorithms to support QoS for a diverse service class for A-MSDU aggregation in IEEE 802.1 In network. …”
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Fair and fit resource allocation algorithm for network-controlled device-to-device (D2D) communication / Yusmardiah Yusuf, Darmawaty Mohd. Ali and Roslina Mohamad
Published 2021“…Then, D2D UEs were scheduled using proportional fair (PF) packet scheduler. …”
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Hybrid ant colony system algorithm for static and dynamic job scheduling in grid computing
Published 2015“…One of the prominent intelligent algorithms is ant colony system (ACS) which is implemented widely to solve various types of scheduling problems. …”
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Interference and Priority Aware Coexistence (IPC) Algorithm for Link Scheduling in IEEE 802.15.6 Based WBANs
Published 2019“…This paper presents an Interference and Priority aware Coexistence (IPC) algorithm to ensure coexistence between multiple WBANs communicating within each other transmission range. …”
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Self-configured link adaptation using channel quality indicator-modulation and coding scheme mapping with partial feedback for green long-term evolution cellular systems
Published 2015“…Consequently, a modified downlink scheduler based on a Packet Prediction Mechanism (PPM) is conducted at the eNodeB. …”
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Attitude Control System for InnoSAT
Published 2009“…To develop attitude control algorithms software; ACS is the part of the ADCS payload. …”
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Hybridization of enhanced ant colony system and Tabu search algorithm for packet routing in wireless sensor network
Published 2020“…In Wireless Sensor Network (WSN), high transmission time occurs when search agent focuses on the same sensor nodes, while local optima problem happens when agent gets trapped in a blind alley during searching. Swarm intelligence algorithms have been applied in solving these problems including the Ant Colony System (ACS) which is one of the ant colony optimization variants. …”
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Thesis -
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A speech recognition system based on structure equivalent fuzzy neural network trained by firefly algorithm
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Working Paper -
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Multi agent quality of service routing based on scheme ant colony optimization algorithm
Published 2014“…The proposed scheme has been simulated by OMNET++ and compared with standard AntNet and two well-known standard QoS routings; Widest Shortest Path (WSP) algorithm and Shortest Widest Path (SWP) algorithm. …”
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Optimal operation and control of hybrid power systems with stochastic renewables and FACTS devices: An intelligent multi-objective optimization approach
Published 2025“…Employing both single- and multi-objective optimization algorithms, the research addresses the OPF problem in a modified IEEE-30 bus system through various case studies. …”
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Improved Dynamic Ant Colony System (DACS) on Symmetric Traveling Salesman Problem (TSP).
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Advanced fault detection in DC microgrid system using reinforcement learning
Published 2021“…A fault detector based artificial intelligence should be implemented into the DC microgrid system to protect it. …”
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