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261
Algorithmic Approach of Majority Voting With Agents’ Inclusiveness for Facility Resource Matching
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262
Beamforming and resource optimization in UAV integrated sensing and communication network with edge computing
Published 2023-09-01“…To address the dependence of traditional integrated sensing and communication network mode on ground infrastructure, the unmanned aerial vehicle (UAV) with edge computing server and radar transceiver was proposed to solve the problems of high-power consumption, signal blocking, and coverage blind spots in complex scenarios.Firstly, under the conditions of satisfying the user’s transmission power, radar estimation information rate and task offloading proportion limit, the system energy consumption was minimized by jointly optimizing UAV radar beamforming, computing resource allocation, task offloading, user transmission power, and UAV flight trajectory.Secondly, the non-convex optimization problem was reformulated as a Markov decision process, and the proximal policy optimization method based deep reinforcement learning was used to achieve the optimal solution.Simulation results show that the proposed algorithm has a faster training speed and can reduce the system energy consumption effectively while satisfying the sensing and computing delay requirements.…”
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263
Energy optimization using adaptive control algorithm to enhance the performance of SDN_IOT environment
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264
Robust Allocation of FACTS Devices in Coordinated Transmission and Generation Expansion Planning considering Renewable Resources and Demand Response Programs
Published 2022-01-01“…Adaptive robust optimization (ARO) is used to reach suitable models for the active power of renewable resources and power consumption. As a main search algorithm, a hybrid combination of water cycle algorithm (WCA) and ant lion optimization (ALO) is proposed to find the optimum solution with a small standard deviation. …”
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265
Optimizing downlink of CR-NOMA resource allocation: A fairness index approach to balancing system performance and energy efficiency
Published 2025-06-01“…This study addresses the challenge of optimizing resource allocation in downlink Non-Orthogonal Multiple Access (NOMA) systems within small-cell networks, focusing on balancing user fairness, energy efficiency, and system performance. …”
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266
Max–Min Share-Based Mechanism for Multi-Resource Fair Allocation with Bounded Number of Tasks in Cloud Computing System
Published 2025-07-01“…Finding a fair and efficient multi-resource allocation is a fundamental goal in cloud computing systems. …”
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267
A Gain-Computation Enhancements Resource Allocation for Heterogeneous Service Flows in IEEE 802.16 m Mobile Networks
Published 2012-01-01“…This method has a crucial role in the resource management and optimization. In a single service access, we propose a dynamic resource allocation algorithm at the physical layer aiming to maximize the cell data rate while ensuring fairness among users. …”
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268
Multi-objective optimization of water resources allocation in rift valley lakes basin (Ethiopia): tradeoffs between efficiency and equity
Published 2025-02-01“…This study introduces a multi-objective optimization framework using the Non-Dominated Sorting Genetic Algorithm II (NSGA-II) to balance economic efficiency, equity, and environmental sustainability in water allocation. …”
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269
Optimizing Competency-Based Human Resource Allocation in Construction Project Scheduling: A Multi-Objective Meta-Heuristic Approach
Published 2024-09-01“… Effective allocation of human resources to project activities is crucial in optimizing project schedules and resource utilization. …”
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270
Intelligent Resource Allocation for Immersive VoD Multimedia in NG-EPON and B5G Converged Access Networks
Published 2025-05-01“…This research examines intelligent resource allocation for IVoD services across NG-EPON and B5G X-haul converged networks. …”
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271
Adaptive Resource Allocation and Mode Switching for D2D Networks With Imperfect CSI in AGV-Based Factory Automation
Published 2025-01-01“…The ARAMS scheme integrates mode switching (MS), channel-quality factor (CQF), and power control (PC) within a bi-phasic resource-sharing (RS) algorithm to lower the computational complexity. …”
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272
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273
Information Bottleneck-Based Domain Adaptation for Hybrid Deep Learning in Scalable Network Slicing
Published 2024-01-01“…We propose pre-training a variational information bottleneck (VIB)-based Quality of Service (QoS) estimator, using slice-specific inputs shared across all source domain slices. Each target domain slice can deploy this estimator to predict its QoS and optimize slice resource allocation using the IDLA algorithm. …”
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274
Resource optimization for UAV relay networks based on physical-layer network coding
Published 2021-09-01“…To solve the problem of low resource utilization of the traditional two-way communication network with unmanned aerial vehicle (UAV) as relays, a resource optimization algorithm based on physical-layer network coding was proposed.Considering the transmission power constraints of the UAV relay communication network, the maximum speed constraints of the UAV and the synchronization requirements of the physical-layer network coding, a resource allocation model for joint optimization of transmission power and UAV trajectory design was formulated to minimize the system outage probability.By decoupling the original non-convex problem into two sub-problems, an iterative algorithm was proposed to realize the joint implementation of optimal trajectory design and optimal system power distribution based on the Karush-Kuhn-Tucker (KKT) conditions, Lagrangian duality method and subgradient method.Simulation results show that the proposed algorithm can significantly improve the system performance and reduce the possibility of communication interruption.…”
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275
Deep reinforcement learning-based resource joint optimization for millimeter-wave massive MIMO systems
Published 2024-10-01“…The method was adopted in a three-stage strategy, firstly, an RF beamformer was constructed to reduce the hardware cost and total power consumption through a small number of RF chains; secondly, a baseband precoder was designed using the effective channel state information; and finally, a two-tier deep reinforcement learning architecture was designed and applied to realize dynamic discrete bandwidth and continuous power resource allocation. Experimental results show that the proposed joint optimization method significantly improves the throughput and energy efficiency of the system compared with the single-stage all-digital precoding and hybrid precoding equal resource allocation methods and the particle swarm optimization-based resource allocation algorithm.…”
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276
Cost Minimization with Project Crashing: Comparison of the Traditional Solution and Genetic Algorithm Approach
Published 2024-10-01Subjects: Get full text
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277
Training efficiency optimization algorithm of wireless federated learning based on processor performance and network condition awareness
Published 2024-11-01Subjects: Get full text
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278
Joint uplink and downlink resource allocation for D2D communication based on weighted bipartite graph matching and interference clustering
Published 2024-06-01“…In the first stage, a weighted bipartite graph matching-based resource allocation (WBGM-RA) algorithm was introduced. …”
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279
Emergency task scheduling algorithm for space-based networks
Published 2025-03-01Subjects: Get full text
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280
Joint Optimization of Cache Placement and Bandwidth Allocation in Heterogeneous Networks
Published 2018-01-01Get full text
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