Optimization of D2D emergency communication resources for UAV relay based on DA-STD3 by Xiaofang Deng, Zijian Deng, Lin Zheng, Chao Yang, Chuanxu Chen

“…Abstract The allocation of communication resources is extremely important for the device-to-device (D2D) communication network with unmanned aerial vehicle (UAV) relays, but this field currently mainly focuses on the communication between UAVs and ground devices. …”
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Adaptive Resource Optimization for LoRa-Enabled LEO Satellite IoT System in High-Dynamic Environments by Chen Zhang, Haoyou Peng, Yonghua Ji, Tao Hong, Gengxin Zhang

“…This paper addresses LEO’s high dynamics and satellite-ground channel variability by introducing a beacon-triggered framework for LoRa-LEO IoT systems as a foundation for resource optimization. Then, in order to decouple the intertwined objectives of optimizing energy efficiency and maximizing the data extraction rate, an adaptive spreading factor (SF) allocation algorithm is proposed to mitigate collisions and resource waste, followed by a practical dynamic power control mechanism optimizing LoRa device power usage. …”
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Perception-Based H.264/AVC Video Coding for Resource-Constrained and Low-Bit-Rate Applications by Lih-Jen Kau, Chin-Kun Tseng, Ming-Xian Lee

“…Overall, the proposed algorithm offers an effective balance between visual quality and computational performance, making it well suited for video transmission in bandwidth-constrained, resource-limited IoT and edge computing environments.…”
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Addressing Rare Outages in C-V2X With Time-Controlled One-Shot Resource Scheduling by Md Saifuddin, Mahdi Zaman, Yaser P. Fallah, Jayanthi Rao

“…In LTE C-V2X Basic Safety Messages (BSMs) are transmitted on radio resources that are allocated with a periodic resource reusability. …”
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A multi-objective approach to load balancing in cloud environments integrating ACO and WWO techniques by Umesh Kumar Lilhore, Sarita Simaiya, Yogendra Narayan Prajapati, Anjani Kumar Rai, Ehab Seif Ghith, Mehdi Tlija, Tarik Lamoudan, Abdelaziz A. Abdelhamid

“…In addition, the algorithm consistently achieved an impressive equilibrium in resource allocation, with balance values ranging from 0.87 to 0.95. …”
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Short-term scheduling optimization of battery electric buses in the context of sustainable energy resources under uncertainty by Muhammad Ahmad Iqbal, Ismail I. Almaraj

“…The primary goal is to allocate BEB to the best CSs while focusing on increasing overall profit by serving the grid and passenger needs effectively. …”
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Joint Latency-Energy Minimization for Fog-Assisted Wireless IoT Networks by Farshad Shams, Vincenzo Lottici, Zhi Tian

“…This work aims to present a joint resource allocation method for a fog-assisted network wherein IoT wireless devices simultaneously offload their tasks to a serving fog node. …”
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Secrecy energy efficiency maximization in dual-metasurface-aided wireless networks by Robert Kuku Fotock, Agbotiname Lucky Imoize, Alessio Zappone, Ciro D’Elia

“…Numerical results show that the proposed system architecture and radio resource allocation algorithms provide significant SEE gains over conventional alternatives.…”
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Energy efficiency maximization in MIMO links aided by metasurfaces with global reflection constraints by Ayşegül Ilay Tunalı, Robert Kuku Fotock, Alessio Zappone, Giorgio Taricco, Giuseppa Alfano, Hakan Ali Çırpan

“…Abstract This work develops two radio resource allocation algorithms to optimize the energy efficiency of a multiple-input multiple-output (MIMO) communication system where a metasurface is deployed near the transmit antenna array to create a reconfigurable holographic beamforming structure. …”
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A Deep Reinforcement Learning Method with a Low Intercept Probability in a Netted Synthetic Aperture Radar by Longhao Xie, Ziyang Cheng, Ming Li, Huiyong Li

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SC-PA: A spot-checking model based on Stackelberg game theory for improving peer assessment by Jia Xu, Panyuan Yang, Teng Xiao, Pin Lv, Minghe Yu, Ge Yu

“…In particular, to ensure the utilities of both of the teachers and students, an algorithm that computes the optimal allocation plan for review resources is carefully designed based on Stackelberg equilibrium. …”
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Conversion relationships and three-dimensional storage and utilization modes of four water resources in an open-pit mining area by Tianci CHEN, Zhimin XU, Yajun SUN, Jie FANG, Qiangmin WANG, Xiaofeng XIONG, Yuhao ZHU, Zihan LU, Fei WAN

“…By constructing an allocation model for the four water resources using an improved genetic algorithm, this study established a three-dimensional storage and comprehensive allocation and utilization system characterized by four water resources, five storage modes, and five utilization pathways for the open-pit mining area. …”
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On the Synergy of IoMT Devices and Ceiling-Mounted Systems for Advanced Medical Data Analytics by Andreas Andreou, Constandinos X. Mavromoustakis, Evangelos K. Markakis, Athina Bourdena, George Mastorakis

“…Deep Reinforcement Learning (DRL) methods solve the resource allocation challenge under realistic constraints. …”
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Advancement in public health through machine learning: a narrative review of opportunities and ethical considerations by Sumit Singh Dhanda, Deepak Panwar, Chia-Chen Lin, Tarun Kumar Sharma, Deependra Rastogi, Shantanu Bindewari, Anand Singh, Yung-Hui Li, Neha Agarwal, Saurabh Agarwal

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Initialization Methods for FPGA-Based EMT Simulations by Xin Ma, Xiao-Ping Zhang

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Program Scheduling With Multi-Skill and External Resource Coordination Consideration Using Improved NSGA-II: Case Study by Heng Zhang, Jingbo Zhou, Huaying Ruan, Yixuan Qin

“…Technology-driven startups often experience fluctuations in business volume and their delivery peak exceeds the conventional functional department’s human resource staffing. Resource allocation is crucial for ensuring timely completion of project deliverables within resource constraints. …”
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New design paradigm for federated edge learning towards 6G:task-oriented resource management strategies by Zhiqin WANG, Jiamo JIANG, Peixi LIU, Xiaowen CAO, Yang LI, Kaifeng HAN, Ying DU, Guangxu ZHU

“…Methods: Using the federated learning network architecture, this paper analyzes the resource allocation and user scheduling schemes: 1. …”
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Adaptive MCS selection and resource planning for energy-efficient communication in LTE-M based IoT sensing platform. by Nhu-Ngoc Dao, Minho Park, Joongheon Kim, Sungrae Cho

“…The proposed algorithm determines the optimal pair of MCS and the number of primary resource blocks (#PRBs), at which the transport block size is sufficient to packetize the sensing data within the minimum transmit power. …”
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Adaptive Resource Optimization for IoT-Enabled Disaster-Resilient Non-Terrestrial Networks using Deep Reinforcement Learning by Fathe Jeribi, R. John Martin

“…The dynamic nature of NTNs makes static resource allocation insufficient, necessitating adaptive strategies to address varying demands and environmental conditions during disaster management. …”
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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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