Forecast-based resource reconfiguration algorithm for network virtualization by ZHANG Shun-li, QIU Xue-song, PAN Ya-lian, MENG Luo-ming

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Multicast resource allocation scheme considering source-coding characteristic in OFDM systems by XU Wen-jun, HE Zhi-qiang, NIU Kai, LIN Jia-ru, WU Wei-ling

“…Aiming to solve the problem that unicast or conventional multicast was incapable of make full use of the opening for wireless propagation in orthogonal frequency division multiplexing（OFDM） systems,a resource allocation scheme involving several multicast groups was proposed to maintain proportional fairness among groups.The proposed scheme consisted of subcarrier assignment algorithm and power allocation algorithm.The former was achieved by modi-fying the existing unicast subcarrier assignment algorithm,whilst optimal power allocation on condition that subcarrier assignment was determined was reached by the latter based on theoretically derived non-linear equations.Simulation re-sults show that the proposed scheme can ensure perfect fairness among different multicast groups,and remarkably out-performs conventional multicast in terms of rate-sum capacity.Combined with the low complexity,it is suitable for the application to voice/video multicast in actual wireless systems.…”
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Multicast resource allocation scheme considering source-coding characteristic in OFDM systems by XU Wen-jun, HE Zhi-qiang, NIU Kai, LIN Jia-ru, WU Wei-ling

“…Aiming to solve the problem that unicast or conventional multicast was incapable of make full use of the opening for wireless propagation in orthogonal frequency division multiplexing（OFDM） systems,a resource allocation scheme involving several multicast groups was proposed to maintain proportional fairness among groups.The proposed scheme consisted of subcarrier assignment algorithm and power allocation algorithm.The former was achieved by modi-fying the existing unicast subcarrier assignment algorithm,whilst optimal power allocation on condition that subcarrier assignment was determined was reached by the latter based on theoretically derived non-linear equations.Simulation re-sults show that the proposed scheme can ensure perfect fairness among different multicast groups,and remarkably out-performs conventional multicast in terms of rate-sum capacity.Combined with the low complexity,it is suitable for the application to voice/video multicast in actual wireless systems.…”
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Algorithm design on energy efficiency maximization for UAV-assisted edge computing by Qihui WU, Wei WU

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Multi-objective allocation optimization model for water resources from a coal mine in the Inner Mongolia-Shaanxi contiguous area by Hechao MIAO, Shuning DONG, Hao WANG, Yuanyuan YANG, Wei QIAO, Xiaodong WANG, Dongqi WANG, Hongyang FU, Yuting LIU

“…Based on the newly established water resource allocation rules and in combination with the conditions including water balance, water quality standards, and constraints on water consumption, this study employed the non-dominated sorting genetic algorithm Ⅱ (NSGA-Ⅱ) to determine the monthly allocation schemes for water resources under the base year of current status level in a coal mine within the Inner Mongolia-Shaanxi contiguous area. …”
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Reconsidering the use of race, sex, and age in clinical algorithms to address bias in practice: A discussion paper by Reanna Panagides, Jessica Keim-Malpass

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Resource allocation scheme in two-way multi-relay OFDM system by Xuan-wei LIANG, Qi ZHU, Guang-jun LIANG

“…A joint optimization scheme for power allocation and subcarrier pairing under high SNR in two-way multi-relay OFDM system was proposed.Unlike those schemes in which relays use subcarriers separately,all the relays were allowed to forward signal on each subcarrier pair for providing much space diversity.With the constraint of total system power,the proposed scheme firstly allocated each relay power with Cauchy inequality with the assuming that the total relay power was fixed.Then the dichotomy was used to calculate the power allocation between the source node and the relay node by maximizing the equivalent channel gain for different subcarrier pairs.Lastly,the power of different subcarrier pairs was allocated by convex programming,and the subcarriers were paired by Hungarian algorithm to obtain the maximum system capacity.There was no optimal power allocation method with low complexity because of the complexity of the power allocation algorithm in two-way multi-relay networks.This algorithm greatly reduces the complexity of power allocation and simulation results show that the proposed scheme outperforms the relay selection scheme and the relays use subcarriers separately scheme.…”
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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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Optimal Allocation of Hybrid Energy Storage in Low-Voltage Distribution Networks with Incentive-based Demand Response by Fengliang XU, Keqian WANG, Wenhao WANG, Peng WANG, Wenye WANG, Shuai ZHANG, Fengzhan ZHAO

“…Then, based on the characteristics of energy storage devices and incentive-based demand-side response resources at different time scales, it is proposed to use the improved VMD algorithm to make a multi-scale decomposition and combined reconstruction of the net load curves, and the improved whale optimization algorithm is used to solve the optimal allocation model with the objective of the minimum sum of the total system cost and active power fluctuation value. …”
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Optimal Allocation of Hybrid Renewable Distributed Generation with Battery Energy Storage System Using MOEA/D-DRA Algorithm by P. Pon Ragothama Priya, S. Baskar, S. Tamil Selvi, C. K. Babulal

“…To evaluate the effectiveness of the proposed formulation, a Multi-Objective Evolutionary Algorithm based on Decomposition with Dynamic Resource Allocation (MOEA/D-DRA) is used. …”
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Optimizing Residential Electricity Demand with Bipartite Models for Enhanced Demand Response by Jonathan Campoverde, Marcelo Garcia Torres, Luis Tipan

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Optimization of Urban Fire Emergency Resource Allocation Based on Pre-Allocated Swarm Algorithm by Xiaolei Zhang, Kaigong Zhao, Shang Gao, Changming Li

“…Furthermore, the bee swarm algorithm exhibits advantages in convergence speed, allowing for the faster identification of ideal solutions, thereby providing a scientific basis for the rapid allocation of resources in urban fire emergency rescues.…”
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Discrete resource allocation to groups of customers by Vytautas Tiešis

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SORA: Energy-Efficient Resource Allocation in Open Radio Access Network With Online Learning by Aerman Tuerxun, Akihiro Nakao

“…Achieving the right balance requires intelligent resource allocation—optimizing Modulation and Coding Scheme (MCS) selection and Physical Resource Block (PRB) assignment to maximize spectrum and processing efficiency. …”
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Improved satellite resource allocation algorithm based on DRL and MOP by Pei ZHANG, Shuaijun LIU, Zhiguo MA, Xiaohui WANG, Junde SONG

“…In view of the multi-objective optimization (MOP) problem of sequential decision-making for resource allocations in multi-beam satellite systems,a deep reinforcement learning(DRL) based DRL-MOP algorithm was proposed to improve the system performance and user satisfaction degree.With considering the normalized weighted sum of spectrum efficiency,energy efficiency,and satisfaction index as the optimization goal,the dynamically changing system environments and user arrival model were built by the proposed algorithm,and the optimization of the accumulative performance in satellite systems based on DRL and MOP was realized.Simulation results show that the proposed algorithm can solve the MOP problem with rapid convergence ability and low complexity,and it is obviously superior to other algorithms in terms of system performance and user satisfaction optimization.…”
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An Efficient Resource Allocation Algorithm for Task Offloading in the Internet of Vehicles by Ahmad Salehi, Sadoon Azizi

“…The algorithm optimizes CPU resource allocation based on task generation rates, average task sizes, and a calculated weight coefficient for each task type. …”
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Fair Resource Allocation Algorithm for OFDMA System with Imperfect CSI by Yaohui Wu, Youming Li, Liping Jin, Pengfei Shao

“…Existing resource allocation algorithms can't balance system capacity and fairness well when the channel state information is imperfect. …”
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Resource Allocation Algorithm Based on Profit Maximization for Crowd Sensing by Kun Gao, Bin Wang, Xinwu Yu

“…This paper proposes a profit maximization algorithm for resource allocation component in crowd sensing environment. …”
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Fair Resource Allocation Algorithm for OFDMA System with Imperfect CSI by Yaohui Wu, Youming Li, Liping Jin, Pengfei Shao

“…Existing resource allocation algorithms can't balance system capacity and fairness well when the channel state information is imperfect. …”
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Video semantics-driven resource allocation algorithm in Internet of vehicles by Jiujiu CHEN, Chunyan FENG, Caili GUO, Yang YANG, Qizheng SUN, Meiyi ZHU

“…Aiming at the problem that traditional resource allocation methods will no longer be applicable, with the demand of intelligent computing services such as video semantic understanding in Internet of vehicles, the video semantic driven resource allocation algorithm was studied.First of all, taking the object detection task as an example, a semantic driven resource allocation guidance model for video was proposed and an algorithm for solving model parameters was given.Secondly, an optimization problem of resource allocation driven by video semantics in Internet of vehicles was constructed, which was transformed into a convex problem and solved by convex optimization algorithm.Furthermore, in order to reduce the complexity of the convex optimization algorithm, a resource allocation algorithm based on reinforcement Q learning was proposed.Finally, the performance advantages of the proposed algorithm are verified by simulations.…”
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