User allocation technology for multi-dimensional resource optimization of LEO satellite by ZHOU Jiaen, ZHAO Yafei, PENG Mugen

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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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Optimization of Combat Resource Allocation Based on Restricted Tournament Selection Social Genetic Algorithm by Shandong Yuan, Yun Ren, Han Zhou, Yongjing Cheng, Kai Yan

Subjects: “…Combat resource allocation problem…”
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Network slicing resource allocation algorithm based on bipartite graph matching in smart grids by Weiwei XIA, Yifei XIN, Dong LIANG, Jun WU, Xin WANG, Feng YAN, Lianfeng SHEN

“…To solve the problem of simultaneously satisfying the quality of service requirements of multiple types of services in smart grids and considering the economic utility of power terminals and network side, a network slicing resource allocation algorithm based on bipartite graph matching was proposed.For the control and collection services in smart grids, the corresponding bidding information was formulated for the power terminals, and the payment price and utility matrix were calculated accordingly.The resource allocation between the network slices and the power terminals was modeled as a bipartite graph matching problem.Different slicing resources were allocated to the terminals according to the latency, transmission rate, or energy consumption requirements of different services to maximize the system utility.Simulation results show that the proposed algorithm is able to improve the system utility by 10%～20% compared to the existing double auction algorithm and greedy algorithm.…”
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Resource allocation algorithm for multi-beam LEO satellite based on decision performance evaluation by WANG Chaowei, PANG Mingliang, WANG Su, ZHAO Lingli, GAO Feifei, CUI Gaofeng, WANG Weidong

“…To address challenges such as co-frequency interference, spectrum scarcity, and uneven traffic distribution in multi-beam LEO satellites, a resource allocation algorithm based on decision performance evaluation was proposed. …”
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Research on resource allocation algorithm in D2D networks based on alliance game by Chen Yujie, Ma Caihong

“…Aiming at the communication resource allocation problem in the SCMA system in the single-cell scenario, this paper aims to maximize the system throughput and ensure the minimum threshold rate of all users, and model it as an alliance game to solve it. …”
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A distributed CRN resource allocation algorithm based on CBR and cooperative Q-learning by Lin XU, Zhijin ZHAO

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Cellular-free RAN slicing resource allocation algorithm based on multi-timescale collaboration by XIA Weiwei, WANG Boye, XIA Yaxing, MIAO Weiwei, WANG Dayang, JING Dongsheng, YAN Feng, SHEN Lianfeng

“…To address the issue of ensuring user quality of service in resource allocation for 6G cell-free radio access network slicing under dynamic service variations, a resource allocation algorithm based on multi-timescale collaborative optimization was proposed. …”
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Joint optimization algorithm for task offloading resource allocation based on edge-end collaboration by Liuqing WU, Xiaorong ZHU

“…In order to solve the problem of limited mobile terminal resources and improve task processing efficiency,a task offloading resource allocation algorithm based on edge-end collaboration was proposed.With the goal of maximizing the total benefit of tasks,the optimal task offloading resource allocation problem based on Lyapunov theory was formed by the constraint of service QoS guarantee and resource limitation.Since the problem is NP-hard,it was decoupled into a channel resource allocation problem solved by KKT condition and a 0-1 integer programming problem about task assignment.Compared with the traditional algorithm,the complexity of the proposed algorithm was O(mn),the efficiency was improved by about 20%,and the delay was reduced more than 15%.…”
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Research on cloud computing resource allocation strategy based on improved ant colony algorithm by Liu Dengming, Jing Junfeng, Liu Kai, Fang Zhiqi

“…In actual projects, it is found that if the ant colony algorithm is directly applied to cloud computing resource allocation, there will often be load imbalances, resulting in low resource utilization. …”
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Joint user association and dynamic resource allocation algorithm for LEO-RAN slicing scenarios by Geng CHEN, Zhiwei XING, Fei SHEN, Qingtian ZENG

“…A joint user association and dynamic resource allocation algorithm was proposed for the slicing scenario of ultra dense low earth orbit-radio access network (LEO-RAN) in order to address the efficient utilization of resources of the integrated terrestrial-satellite network for 6G .Considering the constraints of the minimum rate, maximum delay and resource proportion of different slices, a joint optimization problem of user association and resource allocation was established to maximize the weighted sum of the SE and the differentiated SLA of different slices as the optimization objective.A network slicing algorithm based on multi-agent deep deterministic policy gradient (MADDPG) was proposed to determine the proportion of slicing resources, a Lagrange dual based user association algorithm was proposed to determine the optimal user association policy and the resources were allocated to users by using the round-robin scheduling mechanism.The simulation results show that the proposed algorithm can effectively improve SE while satisfying the differentiated SLA of different slices.Compared with MADDPG-RA, MATD3-LG, MATD3-RA, MASAC-LG and MASAC-RA algorithms, the system utility of the proposed algorithm is improved by 2.0%, 2.3%, 5.7%, 8.7% and 9.4%, respectively.…”
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Stackelberg games-based distributed algorithm of pricing and resource allocation in heterogeneous wireless networks by Yong JIANG, Shan-zhi CHEN, Bo HU

“…To deal with resource allocation in heterogeneous wireless networks,an algorithm based on multi-leader multi-follower Stackelberg games model was proposed to satisfy optimal utility of both operators and mobile users.The mobile user’s utility function with payoff and cost was designed,and it was demonstrated that the utility function obey concave function condition after defining operator price strategy,which assured the existence of Nash equilibrium point.A distributed iterative algorithm was presented to obtain optimal strategies of mobile user’s bandwidth allocation and operator’s pricing.At last,simulation experiments acquire player’s optimal strategies and Subgame perfect Nash equilibrium.…”
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A distributed CRN resource allocation algorithm based on CBR and cooperative Q-learning by Lin XU, Zhijin ZHAO

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Joint user association and dynamic resource allocation algorithm for LEO-RAN slicing scenarios by Geng CHEN, Zhiwei XING, Fei SHEN, Qingtian ZENG

“…A joint user association and dynamic resource allocation algorithm was proposed for the slicing scenario of ultra dense low earth orbit-radio access network (LEO-RAN) in order to address the efficient utilization of resources of the integrated terrestrial-satellite network for 6G .Considering the constraints of the minimum rate, maximum delay and resource proportion of different slices, a joint optimization problem of user association and resource allocation was established to maximize the weighted sum of the SE and the differentiated SLA of different slices as the optimization objective.A network slicing algorithm based on multi-agent deep deterministic policy gradient (MADDPG) was proposed to determine the proportion of slicing resources, a Lagrange dual based user association algorithm was proposed to determine the optimal user association policy and the resources were allocated to users by using the round-robin scheduling mechanism.The simulation results show that the proposed algorithm can effectively improve SE while satisfying the differentiated SLA of different slices.Compared with MADDPG-RA, MATD3-LG, MATD3-RA, MASAC-LG and MASAC-RA algorithms, the system utility of the proposed algorithm is improved by 2.0%, 2.3%, 5.7%, 8.7% and 9.4%, respectively.…”
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Research on dynamic allocation of network slicing resources based on OS-MBRL by YAN Jiahui, ZHONG Weixuan, DONG Ligang, JIANG Xian, WANG Guangchang, LU Lingrong

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An Integrated Optimal Allocation Method of Multi-energy Supply and Demand Side Resources for Load Resilience Enhancement of Distribution System by Xi ZHU, Bo ZENG, Hao XU, Jiaomin LIU

“…To deal with the issue of load resilience enhancement of distribution systems under extreme weather, this paper studied the integrated optimal allocation method of multi energy supply and demand side resources considering the effects of hurricane events. …”
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Energy-Efficient Computation Offloading and Resource Allocation in SWIPT-Based MEC Networks by E. Xuefei, Zhonggui Ma, Kaihang Yu

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Resource allocation strategies and task scheduling algorithms for cloud computing: A systematic literature review by Kareem Awad Waleed, Zainol Ariffin Khairul Akram, Nazri Mohd Zakree Ahmad, Yassen Esam Taha

“…Efficient allocation and scheduling of resources are critical in cloud computing, as they directly impact system performance, resource utilization, and cost efficiency in dynamic and heterogeneous conditions. …”
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Optimization Algorithm of Communication Resource Allocation in a Complex Network Based on an Improved Neural Network by Haomiao Zhang, Qing Liu

“…The traditional optimization algorithm of communication resource allocation in a complex network has the disadvantage of weak antijamming ability, and the communication quality decreases obviously when the number of users is large. …”
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Multi-Objective Optimal Allocation of Regional Water Resources Based on the Improved NSGA-III Algorithm by Yuhao Wang, Yi Wang, Bin He

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