Shared carrier vertical network transformation algorithm in heterogeneous wireless networks by Liang ZHAO, Liang JIN, Kai-zhi HUANG, Mei-yue YANG

“…In order to enhance the spectrum efficiency in heterogeneous wireless networks,the idea of dynamic spectrum allocation (DSA) used in cognitive radio was introduced into the heterogeneous wireless networks,the idea of vertical handoff for multi-mode mobile users was introduced into the base station side,thereafter,the shared carrier vertical network transformation (SCVNT) algorithm in heterogeneous wireless networks was proposed.The theoretical analysis and simulation results show that SCVNT algorithm can effectively enhance the total channel efficiency in heterogeneous wireless networks,improve fairness in resource allocation,and will be able to achieve smooth upgrade,which is of a relatively high application value.…”
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Multi-dimensional flux balance analysis to optimized resources and energy efficiency in MEC aided 5G networks by Rachit Patel, Rajeev Arya

“…In comparison to (1) Resource allocations using Q learning with considering parameter throughput-RA(QL-Munkres-TH), (2) Resource allocations using Q learning with considering parameter distance-RA(QL-Munkres-Dist), and (3) Resource allocation with considering maximum power-RA(Max-Power), the suggested method reduces energy consumption by 83.26%, 86.01%, and 88.34%, respectively. …”
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EdgeGuard: Decentralized Medical Resource Orchestration via Blockchain-Secured Federated Learning in IoMT Networks by Sakshi Patni, Joohyung Lee

“…EdgeGuard uses edge computing to improve system scalability and efficiency by offloading computational tasks from IoMT devices with limited resources. We have made several technological advances, including a lightweight blockchain consensus mechanism designed for IoMT networks, an adaptive edge resource allocation method based on reinforcement learning, and a federated learning algorithm optimized for medical data with differential privacy. …”
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Large Language Model-Guided SARSA Algorithm for Dynamic Task Scheduling in Cloud Computing by Bhargavi Krishnamurthy, Sajjan G. Shiva

“…Potential challenges arise with respect to task scheduling, load balancing, resource allocation, governance, compliance, migration, data loss, and lack of resources. …”
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Optimizing energy and latency in edge computing through a Boltzmann driven Bayesian framework for adaptive resource scheduling by Dinesh Sahu, Nidhi, Rajnish Chaturvedi, Shiv Prakash, Tiansheng Yang, Rajkumar Singh Rathore, Idrees Alsolbi

“…Abstract This paper presents a new approach based on Boltzmann Distribution and Bayesian Optimization to solve the energy-efficient resource allocation in edge computing. It employs Bayesian Optimization to optimize the parameters iteratively for the minimum energy consumption and latency. …”
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Energy Consumption Minimization for UAV-Assisted Network in Hotspot Area by Jinxi Zhang, Saidiwaerdi Maimaiti, Weidong Gao, Kaisa Zhang

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Synchronous Remote Calibration for Electricity Meters: Application and Optimization by Zhiyong Zha, Hanfang Ge, Chengcheng Zou, Fei Long, Xingfeng He, Geng Wu, Chenxi Dong, Tianping Deng, Jiaxiang Xu

“…It addresses the challenge of resource allocation for synchronous calibration across distributed nodes by introducing a hybrid genetic algorithm that optimises scheduling and resource management. …”
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A new method of task aggregation and optimization allocation for multiple groups collaborative task networks by WeiWei Du, XiaoWei Chen

“…Finally, an adaptive mechanism is introduced to optimize the genetic algorithm’s crossover and mutation strategies, proposing a new adaptive optimal allocation algorithm for multiple groups tasks. …”
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Review of Research on Artificial Intelligence-driven Joint Radar Communication by Xianmei WANG, Xiangbo LIU, Yuzheng REN, Yang LU, Haijun ZHANG

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Intelligent Priority-Aware Spectrum Access in 5G Vehicular IoT: A Reinforcement Learning Approach by Adeel Iqbal, Tahir Khurshaid, Yazdan Ahmad Qadri

“…RL-PASM dynamically allocates spectrum resources across three traffic classes: high-priority (HP), low-priority (LP), and best-effort (BE), utilizing reinforcement learning (RL). …”
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Enhancing Uplink Communication in Wireless Powered Communication Networks Through Rate-Splitting Multiple Access and Joint Resource Optimization by Iqra Hameed, Mario R. Camana, Mohammad Abrar Shakil Sejan, Hyoung Kyu Song

“…However, their performance is often limited by interference in uplink communication and inefficient resource allocation. To address these challenges, we propose an RSMA-aided WPCN framework, which optimizes rate-splitting factors, power allocation, and time division to enhance spectral efficiency and user fairness. …”
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Distributed dynamic event-triggered time-varying resource management for microgrids via practical predefined-time multiagent methods by Tingting Zhou, Salah Laghrouche, Youcef Ait-Amirat

“…A novel TV resource management model is introduced, explicitly accounting for dynamic constraints and demand variations to ensure real-time resource allocation while effectively handling load fluctuations and renewable energy variability. …”
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A metaheuristic-based approach for optimizing the allocation of emergency water reservoirs for fire following earthquake suppression by Ali Tanoumand, Mohammadreza Mashayekhi, Ali Majdi, Ehsan Noroozinejad Farsangi

“…Using a metaheuristic algorithm, the optimal allocation zones are identified based on the total distance from urban areas and the FFE risk factor. …”
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Uncertainty-aware multi-objective growth optimizer of EV charging stations allocation in unbalanced grids by Abdullah M. Shaheen, Aya R. Ellien, Adel A. El-Ela, Ali M. El-Rifaie

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A Dynamic Load Balancing Architecture for Fog Computing using Tree Base Resource Arrangement and Flexible Task Prioritization by Bikash Sarma, R. Kumar, Themrichon Tuithung

“…The proposed method is founded on a tree-based dynamic resources arrangement mechanism that refreshes the fog clusters created using Fuzzy C Mean (FCM) to increase the speed of resource allocation. …”
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Improved genetic algorithm based on greedy and simulated annealing ideas for vascular robot ordering strategy. by Zixi Wang, Yubo Huang, Yukai Zhang, Yifei Sheng, Xin Lai, Peng Lu

“…To address these challenges, this research introduces a novel strategy, combining mathematical modeling, a hybrid genetic algorithm, and ARIMA time series forecasting. Considering the dynamic healthcare environment, our approach includes a robust resource allocation model for robotic vessels and operators. …”
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Energy Minimization for Federated Learning Based Radio Map Construction by Fahui Wu, Yunfei Gao, Lin Xiao, Dingcheng Yang, Jiangbin Lyu

“…In this sense, the energy consumption and resource allocation have a significance to the final FL training result. …”
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Energy management of microgrid coalitions considering renewable energy prediction based on machine learning algorithms by Negar Dehghani Mahmoudabadi, Mehran Khalaj, Davood Jafari, Ali Taghizadeh Herat, Parisa Mousavi Ahranjani

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Quality of Experience Optimization for AR Service in an MEC Federation System by Huong Mai do, Tuan Phong Tran, Myungsik Yoo

“…To address this shortcoming, we studied AR subtask offloading and resource allocation in a multi-hop, multi-access edge computing federation. …”
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Optimization procedures in the problem of marketing educational services at the stage of forming a policy for recruiting applicants to universities by V. A. Rogova, R. V. Shamin

“…At the same time, a general scheme for using the optimization model is proposed and an algorithm is presented with the help of which we obtain a calculated optimal marketing strategy for implementing a new recruitment at a university and an optimal allocation of resources to ensure these activities.…”
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