Optimal resource allocation for two-stage connectionless access with collision detection by Xin JIAN, Fang WANG, Jian SONG, Shu FU, Xiaoheng TAN, Xiaoping ZENG

“…Connectionless access allows massive machine type communication (mMTC) devices to transmit small packets without establishment of radio bearers,significantly reducing device power consumption and control signaling overhead.Two-stage connectionless access (TSCLA) improves throughput and resource efficiency by optimally allocating resources between scheduling request (SR) phase and data transmission phase,which can be used for bigger packets and high traffic load.Based on this,a comprehensive theoretical analysis of one kind of TSCLA with collision detection was conducted to investigate its performance limit and devise its optimal resource allocation scheme.In addition,to avoid the complexity of user number estimation,a dynamic resource allocation algorithm with feedback control was proposed.Numerical results are provided to validate the effectiveness of aforementioned theoretical results and show that comparing with the genie aided algorithm known exactly the number of users,the performance loss of the proposed algorithm is within 4%.These works together provide good references for appropriate resource dimensioning for mMTC related protocols.…”
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Applying the Cheetah Algorithm to optimize resource allocation in the fog computing environment by Fatemeh Arvaneh, Faraneh Zarafshan, Abbas Karimi

“…The study provides insights into the comparative performance of these algorithms, laying the foundation for further exploration into enhancing resource allocation strategies in the dynamic and resource-constrained IoT and fog computing landscapes.…”
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Recent Developments in Machine Learning Predictive Analytics for Disaster Resource Allocation by Sunita Pachar, Deepak Dudeja, Neha Batra, Vinam Tomar, John Philip Bhimavarapu, Avadh Kishor Singh

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A Study on the Impact of Industrial Robot Applications on Labor Resource Allocation by Kexu Wu, Zhiwei Tang, Longpeng Zhang

“…Overall, industrial robots not only exert a direct positive impact on the efficiency of urban labor allocation but also indirectly contribute to resource optimization through structural transformation and innovation system development. …”
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Optimizing Resource Allocation and Task Offloading in Multi-UAV MEC Networks by Manzoor Ahmed, Noor Fatima, Salman Raza, Hamid Ali, Abdul Qayum, Wali Ullah Khan, Muhammad Sheraz, Teong Chee Chuah

“…To address this, we propose a Trajectory-Based Task Offloading in UAV-Assisted MEC (TB-TUAV) scheme, which leverages UAV mobility to enhance resource utilization and reduce latency. Unlike existing methods, TB-TUAV integrates a deep reinforcement learning (DRL) framework based on a Markov Decision Process (MDP) to dynamically optimize task offloading and resource allocation in multi-UAV networks. …”
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AI-Driven Resource Allocation for RIS-Assisted NOMA in IoT Networks by Syed M. Hamedoon, Jawwad Nasar Chattha, Umair Rashid, S. M. Ahsan Kazmi, Manuel Mazzara

“…In the final phase, we introduce a deep learning (DL) and reinforcement learning (RL) approach to jointly optimize power allocation and RIS phase shifts in dynamic environments. …”
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UAV spatiotemporal crowdsourcing resource allocation based on deep reinforcement learning by Yaxi LIU, Xulong LI, Jiahao HUO, Wei HUANGFU

“…In the realm of industrial IoT energy management, allocating spatiotemporal crowdsourcing resources to UAVs poses substantial challenges. …”
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Balancing resource utilization and slice dissatisfaction through dynamic soft slicing for 6G wireless networks by Zeinab Sasan, Siavash Khorsandi

“…To mitigate this limitation, soft slicing allows dynamic resource sharing across slices, improving overall utilization. …”
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Adaptive resource allocation and routing for integrated sensing and communications for wireless technologies by Manochandar Subramaniyan, Thiruppathy Kesavan Venkatasamy, Nithya Thotakuruchi Mathiyalagan, Md. Jakir Hossen

“…ARAR-IS dynamically allocates sources and routes information considering the real global and network dynamics. …”
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Self-Awareness-Based Resource Allocation Strategy for Containment of Epidemic Spreading by Xiaolong Chen, Quanhui Liu, Ruijie Wang, Qing Li, Wei Wang

“…And then, a coupled model of resource allocation and disease spreading is proposed to study the impact of self-awareness on resource allocation and its impact on the dynamics of epidemic spreading. …”
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Resource allocation based on optimal transport theory in IoT edge computing by Qi ZHANG, Yuna JIANG, Xiaohu GE, Yonghui LI

“…With the development of the Internet of things (IoT) and edge computing, the computation-intensive tasks of IoT devices can be offloaded to edge devices and processed at the edge of networks.Due to the variation of the distribution and computation requirements of IoT devices, the computation resources of edge networks need to be managed dynamically.The optimal transport theory was adopted to optimize the computation resources allocation in IoT networks.An optimized regional partition mechanism was proposed based on the distribution of IoT devices and locations of edge computing devices.Under constraints on the computing capabilities of edge computing devices, the energy consumption and delay of IoT devices were optimized.The simulation results show that, compared with the traditional Voronoi partition scheme, the proposed optimization mechanism shows better balance.The average transmitting power can be reduced by 21% and the average delay can be reduced by 45%.…”
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Size-dependent resource allocation to reproduction in Japanese anchovies (Engraulis japonicus) by Michio Yoneda, Satoshi Katayama, Masayuki Yamamoto, Naoaki Kono, Tatsuo Tsuzaki, Hiroshige Tanaka

“…These findings demonstrate that spawning individuals display temporal diversity in resource use for reproduction, with large individuals showing greater flexibility in energy allocation strategies. …”
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Environmental Regulation, Financial Resource Allocation, and Regional Green Technology Innovation Efficiency by Qinglin Bao, Huaqi Chai

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Retracted: Transmission Effectiveness of Resource Allocation Efficiency in Multitier Capital Market System by Discrete Dynamics in Nature and Society

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Multi-Users Dynamic Bandwidth Allocation Technology of SDTN by Jianxiang CHU, Yin HUANG, Chong WANG, Yunze CAO

“…The TT＆amp;C and data transmission of spacecraft are divided into two methods: space-based and ground-based.Among them, space-based method has the advantages of global coverage, access at any time, and real-time information return, and have a wide range of application prospects.But it also puts forward certain requirements for the dynamic bandwidth allocation of its multi-spacecraft.Based on the studied of medium-orbit TT＆amp;C, data transmission constellation network architecture and multiple access protocols, a dynamic bandwidth allocation algorithm for on-doard multi-beam, multi-spacecraft users, and multi-task priorities for data transmission tasks was proposed.It was very suitable for the on-demand and real-time resource allocation of data transmission requests of multiple spacecraft in the mid-orbit constellation, and could be used as a multiple access protocol model for space-based measurement and control and data transmission access networks.…”
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Regional Differences, Distributional Dynamics and Spatial Convergence of Pharmacist Human Resources in China: A Healthcare Tiers Difference Perspective by Ding B, Zhao R, Yue X, Li D

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A Robust Population Dynamics Model With Carrying Capacity Constraints for Centrally Coordinated Distributed Optimization by German Obando, Andres Pantoja

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Dynamic contagion potential framework for optimizing infection control in healthcare by Alexandra Fedrigo, Mohamad Nassar, Jennifer Bail, Antonia Bates-Ford, Satyaki Roy

“…Results demonstrate that incorporating CP significantly reduces infection propagation, enhances patient safety, and leads to more efficient healthcare resource allocation.DiscussionThis study presents a dynamic, data-driven framework for infection control within healthcare facilities. …”
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Combined Multi-Agent and Centralized Resource Allocation in Cloud Radio Access Networks by Rehenuma Tasnim Rodoshi, Rezoan Ahmed Nazib, Chanjun Chun, Wooyeol Choi

“…However, this architecture introduces new challenges in efficiently allocating resources to dynamic users. This paper aims to design a resource allocation scheme that improves system efficiency and satisfies dynamic user demands in C-RAN. …”
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Resource allocation strategies for improved mayfly algorithm in cognitive heterogeneous cellular network by Damin ZHANG, Yi WANG, Chengcheng ZOU, Peiwen ZHAO, Linna ZHANG

“…Aiming at the optimization of uplink resource allocation in cognitive heterogeneous cellular networks, a resource allocation algorithm based on improved discrete mayfly algorithm was proposed.In the cognitive heterogeneous cellular network model, the power control strategy was introduced to control the interference suppression of transmitted power, and the improved discrete mayfly algorithm was used to optimize and solve the optimal distribution scheme based on the user’s quality of service (QoS) requirements and interference threshold constraints to maximize the energy efficiency (EE).In order to improve the convergence rate and search ability of the mayfly algorithm, the dynamic adaptive weights of incomplete Gamma and Beta distribution functions and the golden sine position updating strategy were introduced.The simulation results show that the closed-loop power control based on SINR can dynamically adjust the transmitting power of users and effectively restrain the interference between users.The GSWBMA has good optimization efficiency and convergence performance to solve the resource allocation problem, effectively improve the energy efficiency of the system and the transmission rate of users, and ensure the QoS requirements of users.…”
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