Dear Editor,This letter presents a joint probabilistic scheduling and resource allocation method(PSRA) for 5G-based wireless networked control systems(WNCSs). As a control-aware optimization method, PSRA minimizes the...Dear Editor,This letter presents a joint probabilistic scheduling and resource allocation method(PSRA) for 5G-based wireless networked control systems(WNCSs). As a control-aware optimization method, PSRA minimizes the linear quadratic Gaussian(LQG) control cost of WNCSs by optimizing the activation probability of subsystems, the number of uplink repetitions, and the durations of uplink and downlink phases. Simulation results show that PSRA achieves smaller LQG control costs than existing works.展开更多
The multifunctional integration system(MFIS)is based on a common hardware platform that controls and regulates the system’s configurable parameters through software to meet dif-ferent operational requirements.Dwell s...The multifunctional integration system(MFIS)is based on a common hardware platform that controls and regulates the system’s configurable parameters through software to meet dif-ferent operational requirements.Dwell scheduling is a key for the system to realize multifunction and maximize the resource uti-lization.In this paper,an adaptive dwell scheduling optimization model for MFIS which considers the aperture partition and joint radar communication(JRC)waveform is established.To solve the formulated optimization problem,JRC scheduling condi-tions are proposed,including time overlapping condition,beam direction condition and aperture condition.Meanwhile,an effec-tive mechanism to dynamically occupy and release the aperture resource is introduced,where the time-pointer will slide to the earliest ending time of all currently scheduled tasks so that the occupied aperture resource can be released timely.Based on them,an adaptive dwell scheduling algorithm for MFIS with aperture partition and JRC waveform is put forward.Simulation results demonstrate that the proposed algorithm has better com-prehensive scheduling performance than up-to-date algorithms in all considered metrics.展开更多
In the context of rising energy costs and environmental concerns,the challenge of energy consumption has become paramount for the manufacturing industry.Traditional production manufacturing systems are seeking innovat...In the context of rising energy costs and environmental concerns,the challenge of energy consumption has become paramount for the manufacturing industry.Traditional production manufacturing systems are seeking innovative solutions to enhance efficiency and reduce energy consumption.One promising approach involves the integration of Unmanned Aerial Vehicles(UAVs)into the production process,leveraging their flexibility and efficiency.This research addresses the Parallel Machine Scheduling Problem for UAVs(PMSP-UAV),aiming to minimize both makespan and total energy consumption.The energy consumption metrics considered during the production process include startup,running,and idle energy.To simultaneously optimize the makespan and energy consumption objectives,we propose a knowledge-based Multi-Objective Discrete Artificial Bee Colony(MODABC)algorithm.This algorithm incorporates External Archiving(EA)and an elite knowledge-based guidance strategy to enhance convergence.A knowledge-based local search method is applied to the elites to enhance their quality,while the elite knowledge-based guidance scout bee phase prevents premature convergence.Finally,the efficacy of the proposed algorithm is rigorously validated through extensive testing on a dataset comprising over 100 real-world instances derived from an operational factory setting.展开更多
This paper proposes a joint layer scheme for fair downlink data scheduling in muhiuser OFDM wireless networks. Based on the optimization model formulated as the maximization of total utility function with respect to t...This paper proposes a joint layer scheme for fair downlink data scheduling in muhiuser OFDM wireless networks. Based on the optimization model formulated as the maximization of total utility function with respect to the mean waiting time of user queue, we present an algorithm with low complexity for dynamic subcarrier allocation （DSA）. The decision for subcarrier allocation was made according to delay utility function obtained by the algorithm that instantaneously estimated both channel condition and queue length using an exponentially weighted low-pass time window and pilot signals resPectively. The complexity of algorithm was reduced by varying the length of the time window to make use of time diversity, which provided higher throughput ratio. Simulation results demonstrate that compared with the conventional approach, the proposed scheme achieves better performance and can significantly improve fairness among users, with very limited delay performance degradation by using a decreasing concave utility function when the traffic load increases.展开更多
The increasing penetration of wind power poses challenges to the power grid operation and scheduling. Yet, if the uncertainty of wind power can be economically and effec tively managed on the source side, it can drive...The increasing penetration of wind power poses challenges to the power grid operation and scheduling. Yet, if the uncertainty of wind power can be economically and effec tively managed on the source side, it can drive the power grids towards renewable-dominant future. In this paper, an en hanced scheduling strategy for wind farm−flexible load joint op eration system (WF-FLJOS) is proposed. The proposed strategy is designed to manage the uncertainty of wind power on the generation side when integrated into a large-scale power grid. Moreover, it can contribute to saving energy costs on the load side. Compared with the current wind farm operation rules, more stringent assessment requirements are put forward for wind power output accuracy, and the internal organization framework of WF-FLJOS is designed. For potential power vio lations of wind farms and flexible loads, the violation penalty mechanisms are developed to regulate the behavior of the par ticipants. The joint operation model of the WF-FLJOS is pro posed and the submission and tracking approach of the genera tion schedule for the wind farm is investigated. Numerical re sults indicate that the proposed strategy can not only improve the ability of the wind farm to track the generation schedule, but also consider the benefits of both the farm side and the load side. Meanwhile, the proposed strategy effectively reduces the schedule adjustment pressure on the main grid caused by the rolling correction mode of the intraday schedule for wind farms.展开更多
Due to rapid economic devel-opment, the annual growthof electric power demand in GuangdongProvince exceeded 20% thus suffering fromshortage of power in recent years. While pri-mary energy resources are limited in thep...Due to rapid economic devel-opment, the annual growthof electric power demand in GuangdongProvince exceeded 20% thus suffering fromshortage of power in recent years. While pri-mary energy resources are limited in theprovince, the neighbouring provinces arerich in both hydropower and coal deposits.At the same time, the latter lack capital re-sources to exploit. Therefore, to jointly de-velop energy resources, particularly thehydropower will benefit both展开更多
基金supported by the Liaoning Revitalization Talents Program(XLYC2203148)
文摘Dear Editor,This letter presents a joint probabilistic scheduling and resource allocation method(PSRA) for 5G-based wireless networked control systems(WNCSs). As a control-aware optimization method, PSRA minimizes the linear quadratic Gaussian(LQG) control cost of WNCSs by optimizing the activation probability of subsystems, the number of uplink repetitions, and the durations of uplink and downlink phases. Simulation results show that PSRA achieves smaller LQG control costs than existing works.
基金supported by the National Natural Science Foundation of China(6203100762371093).
文摘The multifunctional integration system(MFIS)is based on a common hardware platform that controls and regulates the system’s configurable parameters through software to meet dif-ferent operational requirements.Dwell scheduling is a key for the system to realize multifunction and maximize the resource uti-lization.In this paper,an adaptive dwell scheduling optimization model for MFIS which considers the aperture partition and joint radar communication(JRC)waveform is established.To solve the formulated optimization problem,JRC scheduling condi-tions are proposed,including time overlapping condition,beam direction condition and aperture condition.Meanwhile,an effec-tive mechanism to dynamically occupy and release the aperture resource is introduced,where the time-pointer will slide to the earliest ending time of all currently scheduled tasks so that the occupied aperture resource can be released timely.Based on them,an adaptive dwell scheduling algorithm for MFIS with aperture partition and JRC waveform is put forward.Simulation results demonstrate that the proposed algorithm has better com-prehensive scheduling performance than up-to-date algorithms in all considered metrics.
基金supported by the National Natural Science Foundation of China(No.62203458).
文摘In the context of rising energy costs and environmental concerns,the challenge of energy consumption has become paramount for the manufacturing industry.Traditional production manufacturing systems are seeking innovative solutions to enhance efficiency and reduce energy consumption.One promising approach involves the integration of Unmanned Aerial Vehicles(UAVs)into the production process,leveraging their flexibility and efficiency.This research addresses the Parallel Machine Scheduling Problem for UAVs(PMSP-UAV),aiming to minimize both makespan and total energy consumption.The energy consumption metrics considered during the production process include startup,running,and idle energy.To simultaneously optimize the makespan and energy consumption objectives,we propose a knowledge-based Multi-Objective Discrete Artificial Bee Colony(MODABC)algorithm.This algorithm incorporates External Archiving(EA)and an elite knowledge-based guidance strategy to enhance convergence.A knowledge-based local search method is applied to the elites to enhance their quality,while the elite knowledge-based guidance scout bee phase prevents premature convergence.Finally,the efficacy of the proposed algorithm is rigorously validated through extensive testing on a dataset comprising over 100 real-world instances derived from an operational factory setting.
文摘This paper proposes a joint layer scheme for fair downlink data scheduling in muhiuser OFDM wireless networks. Based on the optimization model formulated as the maximization of total utility function with respect to the mean waiting time of user queue, we present an algorithm with low complexity for dynamic subcarrier allocation （DSA）. The decision for subcarrier allocation was made according to delay utility function obtained by the algorithm that instantaneously estimated both channel condition and queue length using an exponentially weighted low-pass time window and pilot signals resPectively. The complexity of algorithm was reduced by varying the length of the time window to make use of time diversity, which provided higher throughput ratio. Simulation results demonstrate that compared with the conventional approach, the proposed scheme achieves better performance and can significantly improve fairness among users, with very limited delay performance degradation by using a decreasing concave utility function when the traffic load increases.
基金supported by National Natural Science Foundation of China(No.51877049).
文摘The increasing penetration of wind power poses challenges to the power grid operation and scheduling. Yet, if the uncertainty of wind power can be economically and effec tively managed on the source side, it can drive the power grids towards renewable-dominant future. In this paper, an en hanced scheduling strategy for wind farm−flexible load joint op eration system (WF-FLJOS) is proposed. The proposed strategy is designed to manage the uncertainty of wind power on the generation side when integrated into a large-scale power grid. Moreover, it can contribute to saving energy costs on the load side. Compared with the current wind farm operation rules, more stringent assessment requirements are put forward for wind power output accuracy, and the internal organization framework of WF-FLJOS is designed. For potential power vio lations of wind farms and flexible loads, the violation penalty mechanisms are developed to regulate the behavior of the par ticipants. The joint operation model of the WF-FLJOS is pro posed and the submission and tracking approach of the genera tion schedule for the wind farm is investigated. Numerical re sults indicate that the proposed strategy can not only improve the ability of the wind farm to track the generation schedule, but also consider the benefits of both the farm side and the load side. Meanwhile, the proposed strategy effectively reduces the schedule adjustment pressure on the main grid caused by the rolling correction mode of the intraday schedule for wind farms.
文摘Due to rapid economic devel-opment, the annual growthof electric power demand in GuangdongProvince exceeded 20% thus suffering fromshortage of power in recent years. While pri-mary energy resources are limited in theprovince, the neighbouring provinces arerich in both hydropower and coal deposits.At the same time, the latter lack capital re-sources to exploit. Therefore, to jointly de-velop energy resources, particularly thehydropower will benefit both
