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Dynamic spectrum allocation strategy with probabilistic feedback mechanism and performance analysis
Published 2015-07-01“…By introducing probabilistic feedback mechanism and energy detection threshold to cognitive radio networks,a novel dynamic spectrum allocation strategy is proposed to trade off the throughput and average delay of secondary users,as well as meet various network requirements.Considering the imperfect sensing results of secondary users,a kind of priority queueing model is established,in which two classes of users may interfere with each other,then the state transition probability matrix is constructed.Employing the method of matrix-geometric solution,the stationary distribution of system model is derived.Accordingly,the expressions for the performance measures in terms of channel utilization,throughput of secondary users,average delay of secondary users and interference ratio of primary users are given.With numerical experiments and system simulations,the effectiveness of the proposed dynamic spectrum allocation strategy is verified.Finally,the optimal design of energy detection threshold is provided.…”
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42
Dynamic spectrum allocation strategy with probabilistic feedback mechanism and performance analysis
Published 2015-07-01“…By introducing probabilistic feedback mechanism and energy detection threshold to cognitive radio networks,a novel dynamic spectrum allocation strategy is proposed to trade off the throughput and average delay of secondary users,as well as meet various network requirements.Considering the imperfect sensing results of secondary users,a kind of priority queueing model is established,in which two classes of users may interfere with each other,then the state transition probability matrix is constructed.Employing the method of matrix-geometric solution,the stationary distribution of system model is derived.Accordingly,the expressions for the performance measures in terms of channel utilization,throughput of secondary users,average delay of secondary users and interference ratio of primary users are given.With numerical experiments and system simulations,the effectiveness of the proposed dynamic spectrum allocation strategy is verified.Finally,the optimal design of energy detection threshold is provided.…”
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43
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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Research on Reliability Improvement Method of Mountainous Power Grid Considering Electrified Railways Access
Published 2025-02-01“…Finally, two complementary enhancement strategies are proposed: dynamic line capacity expansion and optimized backup capacity allocation. Case studies demonstrate the effectiveness of the method through comparative analysis of reliability indices before and after implementation, confirming both technical validity and practical feasibility.…”
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45
Energy-Efficient Resource Allocation for Near-Field MIMO Communication Networks
Published 2025-07-01“…The simulation results show that the proposed method can significantly improve the system energy efficiency and reduce the antenna overhead under different resolution thresholds, user angles, and distance configurations, which provides a practical reference for the design of green and low-carbon near-field communication systems.…”
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46
Prediction of additional hospital days in patients undergoing cervical spine surgery with machine learning methods
Published 2024-12-01“…Accurate AHD predictions enable efficient resource allocation, improved patient care, and potential cost reduction in healthcare.Methods The study selected CS patients undergoing cervical spine surgery and investigated their medical data. …”
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47
FMEA Risk Assessment Method for Aircraft Power Supply System Based on Probabilistic Language-TOPSIS
Published 2025-06-01“…The probabilistic language term value and probability value were fused in the method through the cumulative prospect theory, and a new PL measure function was introduced. …”
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48
Damage toughness assessment method of power backbone communication network based on power big data
Published 2023-05-01“…The damage toughness assessment method of power backbone communication network based on power big data was studied, and the damage toughness assessment results were used to formulate protection strategies and improve the network survivability.The power backbone communication network and the attacker were set as the two sides of the game, and the Nash equilibrium strategy of both sides was determined by the minimax method.The damage probability of nodes was obtained by the Nash equilibrium strategy, and the node damage probability was transformed into the network damage form.According to the network damage pattern, the repair conditions contained in the power big data were obtained by cloud computing technology.According to the importance of each node, the repair resources and repair budget were allocated to the nodes in order.The performance time-history response curve of the power backbone communication network was constructed, and the dynamic evaluation results of the network damage toughness were output.The experimental results show that all operations using cloud computing technology to process massive power big data can not exceed 330 ms.When the repair budget and repair resources are the highest, the damage toughness of the power backbone communication network can reach 0.925 at most, indicating that this method can effectively evaluate the damage toughness of the power backbone communication network.…”
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49
Damage toughness assessment method of power backbone communication network based on power big data
Published 2023-05-01“…The damage toughness assessment method of power backbone communication network based on power big data was studied, and the damage toughness assessment results were used to formulate protection strategies and improve the network survivability.The power backbone communication network and the attacker were set as the two sides of the game, and the Nash equilibrium strategy of both sides was determined by the minimax method.The damage probability of nodes was obtained by the Nash equilibrium strategy, and the node damage probability was transformed into the network damage form.According to the network damage pattern, the repair conditions contained in the power big data were obtained by cloud computing technology.According to the importance of each node, the repair resources and repair budget were allocated to the nodes in order.The performance time-history response curve of the power backbone communication network was constructed, and the dynamic evaluation results of the network damage toughness were output.The experimental results show that all operations using cloud computing technology to process massive power big data can not exceed 330 ms.When the repair budget and repair resources are the highest, the damage toughness of the power backbone communication network can reach 0.925 at most, indicating that this method can effectively evaluate the damage toughness of the power backbone communication network.…”
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50
Research on IoV resource allocation algorithm assisted by reconfigurable intelligent surface
Published 2023-09-01“…In order to meet the higher requirements of vehicle communication quality and spectral efficiency, a IoV resource allocation algorithm assisted by reconfigurable intelligent surface (RIS) was proposed.The RIS reflection coefficient matrix, power allocation, and spectrum sharing schemes were combined to solve the problem of maximizing the total capacity of V2I link under the condition of ensuring the reliability of V2V link.As this problem was a non-convex optimization problem with highly coupled variables, it was difficult to solve it directly.Therefore, after introducing an analytic expression to approximate the interrupt probability of V2V link, the problem was decomposed into three sub-problems by using the block coordinate descent (BCD) method, and the sub-problems were solved by introducing auxiliary variables, successive convex approximation (SCA), Hungarian algorithm, etc., and then the approximate suboptimal solution of the problem was obtained.Simulation results show that the proposed algorithm has good convergence performance and can effectively improve the total capacity of V2I link.…”
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51
Research on IoV resource allocation algorithm assisted by reconfigurable intelligent surface
Published 2023-09-01“…In order to meet the higher requirements of vehicle communication quality and spectral efficiency, a IoV resource allocation algorithm assisted by reconfigurable intelligent surface (RIS) was proposed.The RIS reflection coefficient matrix, power allocation, and spectrum sharing schemes were combined to solve the problem of maximizing the total capacity of V2I link under the condition of ensuring the reliability of V2V link.As this problem was a non-convex optimization problem with highly coupled variables, it was difficult to solve it directly.Therefore, after introducing an analytic expression to approximate the interrupt probability of V2V link, the problem was decomposed into three sub-problems by using the block coordinate descent (BCD) method, and the sub-problems were solved by introducing auxiliary variables, successive convex approximation (SCA), Hungarian algorithm, etc., and then the approximate suboptimal solution of the problem was obtained.Simulation results show that the proposed algorithm has good convergence performance and can effectively improve the total capacity of V2I link.…”
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52
Resource allocation for coexistence of eMBB and bursty URLLC based on queueing with preemption
Published 2025-05-01“…Numerical results show that our proposed method reduces the outage probability and average delay of URLLC compared to the existing works.…”
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AIMP-Based Power Allocation for Radar Network Tracking Under Countermeasures Environment
Published 2025-05-01“…Firstly, the model of the radar network tracking is established, and the power allocation problem is formulated. Next, the target RCS prediction algorithm is introduced, and the AIMP power allocation method is proposed jointly considering the electronic jamming and the impact of the target RCS. …”
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Outcomes for Patients With a Deceased Donor Kidney Offer in the New Allocation System
Published 2025-04-01“…Methods: We describe transplant and mortality rates for waitlisted candidates from 2015 to 2022 following these allocation changes. …”
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A Reordering Buffer Management Method at Edge Gateway in Hybrid IP-ICN Multipath Transmission System
Published 2024-12-01“…In comparison to existing methods, RBMM significantly reduces queuing delay and flow completion time, providing more balanced resource allocation when multiple flows compete for limited buffer capacity.…”
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Optimization of resource allocations in 5G mobile network using Active Reward Learning
Published 2025-08-01“…This paper introduces a real-time dynamic resource allocation method for 5G mobile network slicing, leveraging active reward learning to enhance network performance and Quality of Experience (QoE). …”
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Resource Allocation in Multicore Elastic Optical Networks: A Deep Reinforcement Learning Approach
Published 2023-01-01“…Results obtained for the NSFNet and COST239 network topologies under different traffic loads show that the best-performing agent achieves, on average, up to a four-times decrease in blocking probability with respect to the best-performing baseline heuristic method.…”
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Dynamic Security-Aware Resource Allocation in Quantum Key Distribution-Enabled Optical Networks
Published 2025-06-01“…We evaluate the proposed D-SQRA performance against two conventional methods, namely, fixed security quantum resource allocation (F-SQRA) and baseline quantum resource allocation (B-QRA). …”
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Prediction and Optimization for Multi-Product Marketing Resource Allocation in Cross-Border E-Commerce
Published 2025-06-01“…Current methods either overlook these constraints or fail to enforce them efficiently due to computational challenges. …”
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