Energy-Efficient Resource Allocation in Mobile Edge Computing Using NOMA and Massive MIMO by Qusay Alghazali, Husam Al-Amaireh, Tibor Cinkler

“…This paper introduces a comprehensive framework for reducing energy consumption in MEC environments by leveraging advanced optimization techniques and energy-efficient resource allocation algorithms. We propose a novel approach that dynamically adjusts the computational resources based on the current network load and the type of services requested, thus minimizing unnecessary energy consumption. …”
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Research on Resource Allocation Method of Integrated Avionics System considering Fault Propagation Risk by Changxiao Zhao, Wei Zhang, Fangzheng Dong, Jun Dai, Lei Dong

“…The resource allocation method is evaluated according to the fault propagation risk model, and a heuristic algorithm is applied to optimize the resource allocation method of the IMA system. …”
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Prediction and Optimization for Multi-Product Marketing Resource Allocation in Cross-Border E-Commerce by Yi Xie, Heng-Qing Ye, Wenbin Zhu

“…In cross-border e-commerce, effective marketing resource allocation is crucial due to the complexity introduced by diverse product categories, regional differences, and competition among category managers. …”
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Game Theory Based Energy-Aware Uplink Resource Allocation in OFDMA Femtocell Networks by Jun Zhao, Wei Zheng, Xiangming Wen, Xiaoli Chu, Haijun Zhang, Zhaoming Lu

“…Simulation results show that the proposed algorithm can improve user utilities significantly, compared with existing power control and subchannel allocation algorithms.…”
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Machine Learning in Biomedical Informatics: Optimizing Resource Allocation and Energy Efficiency in Public Hospitals by Agostino Marengo, Vito Santamato, Massimo Iacoviello

“…This paper presents a computational framework that combines supervised machine learning and multi-objective optimization to support data-driven decision-making for resource allocation in public healthcare systems. The study uses real-world data from 51 public hospitals across Southern and Northern Italy, ensuring a representative sample of diverse healthcare structures. …”
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RL-MAB-Based Resource Allocation for Efficient Bandwidth Utilization in Industrial IoT Networks by Dongyeong Seo, Kidong Nam, Kwansoo Jung

“…The experimental performance evaluation shows that the proposed scheme improves network performance in terms of resource efficiency, scalability, energy efficiency, and mobility support compared to the typical resource allocation and scheduling schemes.…”
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Energy-efficient device selection and resource allocation for edge-driven hierarchical federated learning by Yongwen Liu, Dongqing Liu, Lyes Khoukhi, Bo Wang, Lei Zhang, Yaoli Xu

“…However, existing frameworks often struggle with energy efficiency, adaptability to dynamic conditions, and the complex interplay between device selection and resource allocation. In this paper, we propose an energy-efficient hierarchical federated learning framework that jointly optimizes IoT device selection, local resource allocation, and base station resource allocation across a three-layer architecture. …”
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Distributed RL-Based Resource Allocation and Task Offloading for Vehicular Edge of Things Computing by Ghada Afifi, Bassem Mokhtar

“…However, VEoTC frameworks face several challenges in effectively localizing and allocating the distributed resources and offloading tasks successfully due to the high mobility of vehicles and fluctuating user densities. …”
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Decentralized and Joint Resource Allocation, Beamforming, and Beamcombining for 5G Networks With Heterogeneous MARL by Ala'a Al-Habashna, Jon Menard, Gabriel Wainer, Gary Boudreau

“…Our results show that the proposed paradigm can successfully optimize the task of joint resource allocation, beamforming, and combining. Furthermore, we provide a comparative analysis of the three different implementations, highlighting noteworthy insights into the strengths and limitations of fully distributed algorithms, such as IQL, in comparison to algorithms employing the Centralized Training with Decentralized Execution (CTDE) framework, exemplified by QTRAN and MADDPG.…”
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Joint Optimization of UAV Placement and Resource Allocation in FDMA Wireless-Powered Sensor Networks by Omid Abachian Ghasemi, Mehdi Chehel Amirani

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Dynamic Security-Aware Resource Allocation in Quantum Key Distribution-Enabled Optical Networks by Vimal Bhatia, Adolph Kasegenya, Bowen Chen

“…This research addresses the issues of high blocking probabilities (BPs) and the proper utilization of quantum resources in varying network loads by introducing a novel heuristic approach, termed dynamic security-aware quantum resource allocation (D-SQRA), designed for dynamic resource allocation in QKD-enabled optical networks. …”
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Fast autoscaling algorithm for cost optimization of container clusters by José María López, Joaquín Entrialgo, Manuel García, Javier García, José Luis Díaz, Rubén Usamentiaga

“…In this paper we present FCMA (Fast Container to Machine Allocator), a resource allocation algorithm designed to calculate a suitable allocation of the resources of a cluster in autoscaling operations, to minimize cluster deployment costs. …”
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Allocation of Oral Cholera Vaccines in Africa by Elisa M. Maffioli, Yutong Lu

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Enhancing Cloud Resource Management Based on Intelligent System by Manal Fadhil Younis

“…This paper introduces an intelligent method to manage cloud resources without delay or trouble. Starting with designing a system based on a genetic algorithm (GA) as a computational tool to achieve the goal and plan a predictive request then depending on the round robin (RR) algorithm to allocate the requests for processing. …”
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Resource Management in Satellite Communication Systems: Heuristic Schemes and Algorithms by Shahaf I. Wayer, Arie Reichman

“…The high cost of frequency bandwidth in satellite communication emphasizes the need for good algorithms to cope with the resource allocation problem. …”
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Joint source–channel rate allocation with unequal error protection for space image transmission by Dan Dong, Shaohua Wu, Dongqing Li, Jian Jiao, Chanjuan Ding, Qinyu Zhang

“…A joint rate allocation algorithm based on the packet loss rate is proposed. …”
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A distributed algorithm for solving large-scale p-median problems using expectation maximization by Harsha Gwalani, Joseph Helsing, Sultanah M. Alshammari, Chetan Tiwari, Armin R. Mikler

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Two-Stage Robust Optimization Considering the Uncertainty of Sources and Loads in Virtual Power Plants by Shixun Qi, Duo Li, Liyong Hou, Haili Wang, Li Xin, Yaojie Jin, Yuanji Cai, Mingfei Ban

“…As the proportion of new energy in VPPs continues to rise, the impacts of the uncertainty of internal new energy output and load have become increasingly significant, and the demand for flexible resources has also become more urgent. To address the challenges of system operation optimization and resource allocation caused by the integration of a large amount of renewable energy on the supply side of the energy system into VPPs and the flexible and changeable load on the demand side, this paper proposes a distributed robust optimization method that simultaneously considers the uncertainties of both the source and the load. …”
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Portfolio selection and primary user QoS guarantee based resource allocation in cognitive radio networks by Hui LIANG, Xiao-hui ZHAO

“…Inspired by portfolio selection theory,an efficient primary user QoS guaranteed resource allocation algorithm from secondary user interference by using historical channel state information was proposed.This algorithm formulates the risk as optimization objective,and restricts the interference which comes from secondary system to primary users below a mutual interference threshold.Then quadratic programming method is used to solve this optimization problem.Finally,performance comparison between the original algorithm without protection and the proposed algorithm was given.Simulation results illustrate that the proposed algorithm can minimize secondary system risk under an expected transmission rate and guarantee primary user’s QoS.…”
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Federated Reinforcement Learning-Based Dynamic Resource Allocation and Task Scheduling in Edge for IoT Applications by Saroj Mali, Feng Zeng, Deepak Adhikari, Inam Ullah, Mahmoud Ahmad Al-Khasawneh, Osama Alfarraj, Fahad Alblehai

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