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181
Resource Allocation in STAR-RIS-Aided SWIPT With RSMA via Meta-Learning
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182
Resource allocation for coexistence of eMBB and bursty URLLC based on queueing with preemption
Published 2025-05-01“…In this paper, we propose a method to allocate computing and radio resources for coexisting eMBB and bursty URLLC services by preempting both computing queues in the base station (BS) and time-frequency resources at the air interface. …”
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183
SHERA: SHAP-Enhanced Resource Allocation for VM Scheduling and Efficient Cloud Computing
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184
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Measuring Outcomes in Healthcare Economics using Artificial Intelligence: with Application to Resource Allocation
Published 2021-04-01“…This manuscript presents three intelligent methods that provide data-driven indicators to help healthcare managers organize their economics and identify the most optimum plan for resource allocation and sharing. Using reinforcement learning, genetic algorithms, traveling salesman, and clustering, we experimented with different healthcare variables and presented tools and outcomes that could be applied at health institutes. …”
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186
Research on the generalized utility max-min fair algorithm based on piecewise linear function
Published 2006-01-01Subjects: Get full text
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187
Implications of algorithmic bias in AI-driven emergency response systems
Published 2026-01-01Subjects: Get full text
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188
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MULTIPLE-PURPOSE SOLUTION TO HOMOGENEOUS ALLOCATION PROBLEMS BASED ON MODIFIED ROMANOVSKY ALGORITHM AND SELECTIVE-PERMUTATION ALGORITHM
Published 2012-09-01“…The problem on improving precision properties of the fast approx imate algorithms without sacrifice of their resource properties is set. …”
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190
Spectrum allocation algorithm of elastic optical networks in power distribution system
Published 2019-02-01“…In order to effectively improve the resource utilization of information transmission network in reality,the spectrum allocation problem in flexible optical network in smart grid environment was analyzed,and a spectrum allocation method was proposed.Combining the advantages of genetic algorithm and ant colony algorithm,the genetic algorithm was used to generate the initial solution.Finally,the optimal solution of the spectrum allocation problem was obtained by the characteristics of positive feedback of ant colony algorithm and efficient convergence.The performance of the optimization algorithm mentioned was verified by software simulation.The proposed algorithm can optimize the use of idle spectrum resources to meet the needs of mass data transmission in distribution network,and improve the reliability of distribution network communication system,which is of great significance to the safe and reliable operation of smart grid.…”
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191
Improved genetic algorithm based on rule optimization strategy for fibre allocation
Published 2024-12-01“…Comparative simulations with the unimproved genetic algorithm and a stepwise greedy algorithm underscore the superiority of the improved genetic algorithm in resolving the fibre allocation problem.…”
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192
Dynamic Beam Hopping Algorithm for LEO Satellite Systems Based on User Grouping
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193
Adaptive bandwidth allocation algorithm based on the multi-threshold reservation mechanism
Published 2014-12-01“…An adaptive bandwidth allocation algorithm based on multi-threshold reservation mechanism is proposed to guarantee the quality of service (QoS) of multi-services in heterogeneous wireless networks.With the bandwidth reserva-tion mechanism by setting multi-threshold in each network for every traffic,the adaptive bandwidth allocation scheme according to the transmission rate levels requirements for traffic k and the network status can be formulated as an optimal problem with the constraints of the bandwidth allocation matrix for each traffic and all users based on the multi-homing technology.A procedure of the iterative method is presented to solve the optimal problem of the formulated adaptive bandwidth allocation scheme.The optimized bandwidth allocation matrixes for traffics and for all users are obtained for the real-time network throughput maximization under bandwidth reserving thresholds and network capacity constrains and the bandwidth resource utilization efficiency of heterogeneous wireless network can be increased.Numerical simula-tion results show that the proposed algorithm can support QoS requiring transmission rate grades,decrease the new call blocking probability,increase the average user access rate and improve the network throughput of the heterogeneous wireless network by 40% to the largest extent.…”
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194
Allocation algorithms for multicore partitioned mixed-criticality real-time systems
Published 2024-12-01“…This is achieved through the implementation of a Mixed-Integer Linear Programming (MILP) algorithm. The second phase involves the allocation of tasks to cores, employing both, an additional MILP algorithm and a modified worst fit decrease utilisation approach. …”
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195
SPEEDING ALGORITHM FOR MINIMAX OPTIMIZATION OF ALLOCATION PROBLEM SOLUTIONS IN HOMOGENEOUS SYSTEMS
Published 2014-09-01“…(Such problems cannot be solved by the classical algorithm due to the limited timing budgets.) The results of processing these solutions have shown that the new modification does not solve the problem of NP-complete allocation tasks, but it provides a resource-time gain associated with the significant reduction in the exponential model index of the average solution time.…”
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196
Energy optimization using adaptive control algorithm to enhance the performance of SDN_IOT environment
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197
Emergency task scheduling algorithm for space-based networks
Published 2025-03-01Subjects: Get full text
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198
Cloud edge end network resource allocation for thermostatically controlled load aggregation regulation
Published 2024-02-01“…Thermostatically controlled load is a flexible load that controls temperature regulation, such as air conditioning and electric water heaters.As a crucial demand side resource, flexible aggregation and regulation of load clusters can fully mobilize clean energy consumption capacity and ensure the balance between supply and demand of the power grid.Due to the common occurrence of thermostatically controlled loads in commercial office buildings and residential areas, a relatively stable control and transmission method can be adopted.Therefore, an efficient hierarchical transmission network is introduced to achieve data transmission and information interaction between loads and the power grid, and to flexibly, real-time, and accurately utilize the adjustable potential of load clusters.Firstly, an information interaction architecture of load IoT which structured “central cloud-edge cloud-regional load controller-thermostatically controlled load”was proposed.Then, for the “end edge”part, considering the requirements of different aggregation control tasks, an improved clustering algorithm was used to classify the tasks and reduce transmission overhead.For the “end-side” part, an improved clustering algorithm was used to optimize the transmission distance.For the edge-cloud collaboration part, a subchannel resource allocation algorithm was designed based on stable matching and water injection algorithms.The binary particle swarm optimization algorithm was used to solve the task upload decision problem.Finally, the effectiveness of the proposed model and algorithm is verified through simulation, and comparative experiments are also conducted.…”
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199
Edge computing offloading policies and resource allocation considering system fairness in trusted environments
Published 2024-03-01“…Considering the fairness problem in edge computing in an unreliable trust environment, the offloading decision and resource allocation problem of edge computing was studied for a multi-user multi-server scenario.Based on the proposed real-time trust model, system fairness was defined from the perspective of user satisfaction, a joint optimization model considering trust and fairness was established, and a trust-based task offloading and resource allocation (TOA) algorithm was proposed on this basis.The original NP-hard problem was converted into multiple deterministic optimization subproblems, the offloading strategy was determined based on the backtracking algorithm, and the optimization of resource allocation was accomplished by using the Lagrange multiplier method, the convex optimization toolbox, and the bifurcated iterative search method, so as to achieve system fairness and enhance user satisfaction.Simulation experimental results show that the proposed algorithm outperforms other benchmark algorithms.…”
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200
User-cooperative dynamic resource allocation for backscatter-aided wireless-powered MEC network
Published 2025-05-01Get full text
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