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A dynamic function allocation method for single pilot operations in commercial aircraft based on Bayesian-enhanced Q-learning 认领 引用
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作者 Yue LUO Yuting DAI +3 位作者 Miao WANG Lei WANG Ruiyuan HONG Guoqing WANG 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2026年第5期411-430,共20页
Human-machine collaboration is a key feature of Single Pilot Operations(SPO).With only a single pilot in the cockpit,workload monitoring and adjustment become even more critical compared to Dual-Pilot Operations(DPO).... Human-machine collaboration is a key feature of Single Pilot Operations(SPO).With only a single pilot in the cockpit,workload monitoring and adjustment become even more critical compared to Dual-Pilot Operations(DPO).Hence,a dynamic function allocation mechanism must be established—increasing the Level of Automation(LOA)under high workload conditions and reducing it under low workload conditions to maintain situational awareness.To address the challenges of excessive subjectivity and limited knowledge transfer in the existing dynamic function allocation methods,this paper proposes a dynamic function allocation method based on Bayesianenhanced Q-Learning(BQL).First,a Bayesian Network(BN)is constructed to predict HumanMachine System(HMS)performance,determining when reallocation should be triggered.Compared to the existing trigger mechanisms,this approach enables earlier activation while maintaining non-intrusive.Then,the BN-predicted HMS performance is integrated into the reward feedback for the reinforcement learning algorithm,allowing the system to continuously refine its strategy through interaction with the environment.Finally,flight experiments conducted in a low-fidelity SPO simulator,incorporating both objective physiological monitoring and subjective assessments,validate the effectiveness of the proposed method. 展开更多
关键词 Bayesian network Dynamic function allocation Human-machine system Reinforcement learning Single Pilot Operations(SPO)
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Admissible Heuristic Design for Optimally Scheduling Resource Allocation Systems With Generalized Timed Petri Nets 认领 引用
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作者 Yuanzheng Xiao Yangqing Gao +1 位作者 Haoran Wu Bo Huang 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2026年第7期1572-1583,共12页
The heuristic function in Petri-net-based A*search directly influences both the search efficiency and solution quality for scheduling resource allocation systems(RASs).In the literature,some heuristic functions have b... The heuristic function in Petri-net-based A*search directly influences both the search efficiency and solution quality for scheduling resource allocation systems(RASs).In the literature,some heuristic functions have been proposed,but most of them fail to consider key aspects such as token remaining time,alternative routes,weighted arcs,multiple resource copies,and batch processing ability,which are common in the place-timed Petri nets(PNs)for RASs.This paper proposes two novel heuristic functions.Both are admissible,guaranteeing the optimality of the obtained schedules.In addition,they are designed not only for ordinary PNs but also for generalized ones,which may have arc weights greater than one.They can effectively handle RAS PNs with alternative routes,weighted arcs,multiple resource copies,and batch processing capability.Most importantly,the new heuristics,especially the second one,are highly informed,leading to faster searches for optimal schedules compared to existing heuristics for generalized PNs.Experiments on several benchmark PNs of RASs have been conducted to demonstrate the effectiveness and efficiency of our methods. 展开更多
关键词 A*search heuristic function resource allocation system scheduling timed Petri net
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Predefined-Time Distributed Optimization for Resource Allocation Problems With Time-Varying Objective Function and Constraints 认领 引用
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作者 Haotian Wu Yang Liu +1 位作者 Mahmoud Abdel-Aty Weihua Gui 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2025年第11期2353-2355,共3页
Dear Editor,This letter addresses distributed optimization for resource allocation problems with time-varying objective functions and time-varying constraints.Inspired by the distributed average tracking(DAT)approach,... Dear Editor,This letter addresses distributed optimization for resource allocation problems with time-varying objective functions and time-varying constraints.Inspired by the distributed average tracking(DAT)approach,a distributed control protocol is proposed for optimal resource allocation.The convergence to a time-varying optimal solution within a predefined time is proved.Two numerical examples are given to illustrate the effectiveness of the proposed approach. 展开更多
关键词 resource allocation distributed optimization time varying objective function optimal resource allocationthe distributed control protocol time varying constraints predefined time convergence
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An NOMA-VLC power allocation scheme for multi-user based on sparrow search algorithm 认领 引用 被引量：1
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作者 WANG Xing WANG Haitao +3 位作者 DONG Zhenliang XIONG Yingfei SHI Huili WANG Ping 《Optoelectronics Letters》 EI 2025年第5期278-283,共6页
A non-orthogonal multiple access(NOMA) power allocation scheme on the basis of the sparrow search algorithm(SSA) is proposed in this work. Specifically, the logarithmic utility function is utilized to address the pote... A non-orthogonal multiple access(NOMA) power allocation scheme on the basis of the sparrow search algorithm(SSA) is proposed in this work. Specifically, the logarithmic utility function is utilized to address the potential fairness issue that may arise from the maximum sum-rate based objective function and the optical power constraints are set considering the non-negativity of the transmit signal, the requirement of the human eyes safety and all users' quality of service(Qo S). Then, the SSA is utilized to solve this optimization problem. Moreover, to demonstrate the superiority of the proposed strategy, it is compared with the fixed power allocation(FPA) and the gain ratio power allocation(GRPA) schemes. Results show that regardless of the number of users considered, the sum-rate achieved by SSA consistently outperforms that of FPA and GRPA schemes. Specifically, compared to FPA and GRPA schemes, the sum-rate obtained by SSA is increased by 40.45% and 53.44% when the number of users is 7, respectively. The proposed SSA also has better performance in terms of user fairness. This work will benefit the design and development of the NOMA-visible light communication(VLC) systems. 展开更多
关键词 NOMA logarithmic utility function VLC Sparrow Search Algorithm sparrow search algorithm ssa fairness issue power allocation Sum Rate
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Differences in functional traits and reproductive allocations between native and invasive plants 认领 引用 被引量：10
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作者 WANG Cong-yan ZHOU Jia-wei +2 位作者 LIU Jun XIAO Hong-guang WANG Lei 《Journal of Central South University》 SCIE EI CAS CSCD 2018年第3期516-525,共10页
Because co-occurring native and invasive plants are subjected to similar environmental selection pressures,the differences in functional traits and reproductive allocation strategies between native and invasive plants... Because co-occurring native and invasive plants are subjected to similar environmental selection pressures,the differences in functional traits and reproductive allocation strategies between native and invasive plants may be closely related to the success of the latter.Accordingly,this study examines differences in functional traits and reproductive allocation strategies between native and invasive plants in Eastern China.Plant height,branch number,reproductive branch number,the belowground-to-aboveground biomass ratio,and the reproductive allocation coefficient of invasive plants were all notably higher than those of native species.Additionally,the specific leaf area(SLA)values of invasive plants were remarkably lower than those of native species.Plasticity indexes of SLA,maximum branch angle,and branch number of invasive plants were each notably lower than those of native species.The reproductive allocation coefficient was positively correlated with reproductive branch number and the belowground-to-aboveground biomass ratio but exhibited negative correlations with SLA and aboveground biomass.Plant height,branch number,reproductive branch number,the belowground-to-aboveground biomass ratio,and the reproductive allocation coefficient of invasive plants may strongly influence the success of their invasions. 展开更多
关键词 functional trait specific leaf area reproductive allocation strategy phenotypic plasticity invasive plant
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Man-machine Function Allocation Based on Uncertain Linguistic Multiple Attribute Decision Making 认领 引用 被引量：15
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作者 ZHANG An TANG Zhili ZHANG Chao 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2011年第6期816-822,共7页
Function allocation is one of the necessary stages in the design course of man-machine systems since appropriate function allocation makes the whole system more effective,reliable and inexpensive.Therefore,our researc... Function allocation is one of the necessary stages in the design course of man-machine systems since appropriate function allocation makes the whole system more effective,reliable and inexpensive.Therefore,our research mainly focuses on the problems of function allocation between man and machine in man-machine systems,analyses each capability advantage of man and machine according to their respective inherent characteristics and makes a comparison between them.In view of highly uncertain characteristics of decision attribute value in the practical process,we introduce the uncertain linguistic multiple attribute decision making(ULMADM)method in the function allocation process.Meanwhile,we also use the uncertain extended weighted arithmetic averaging(UEWAA)method to determine the automation level range of the operator functions.Then,we eventually estab-lish the automation level of man-machine function allocation by using the multi-attribute decision making algorithm,which is combined by UEWAA and uncertain linguistic hybrid aggregation(ULHA)operators.Finally,an example about function allocation is given,that is,fault diagnosis in the cockpit of civil aircraft.The final result of the example demonstrates that the proposed method about function allocation is feasible and effective. 展开更多
关键词 man-machine systems function allocation uncertain linguistic multiple attribute decision making levels of automa tion fault detection cockpits reliability
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Study on functions and rational allocation of Shule River Basin groundwater resources 认领 引用 被引量：2
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作者 CHENG Xu-xue JIN Xiao-lin LIU Wei-po 《Journal of Groundwater Science and Engineering》 2017年第2期140-151,共12页
Based on Investigation and Assessment on Rational Exploitation and Utilization of Groundwater Resources in Typical Areas of the Hexi Corridor, the thesis studies on groundwater and environmental problems arising from ... Based on Investigation and Assessment on Rational Exploitation and Utilization of Groundwater Resources in Typical Areas of the Hexi Corridor, the thesis studies on groundwater and environmental problems arising from the large-scale agricultural development projects in Shule River Basin. The thesis analyzes problems in exploiting and utilizing water resources, defines the function zoning of groundwater resources in key areas and evaluates them. Finally, the thesis uses three-dimensional unsteady flow simulation and regional social and economic development plan to study on the allocation of groundwater in Shule River Basin. A proposal for rational allocation of Shule River Basin water resources has been put forward. 展开更多
关键词 Shule River Basin The function zoning Assessment of groundwater resources Rational allocation of water resources
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Comprehensive Reliability Allocation Method for CNC Lathes Based on Cubic Transformed Functions of Failure Mode and Effects Analysis 认领 引用 被引量：10
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作者 YANG Zhou ZHU Yunpeng +1 位作者 REN Hongrui ZHANG Yimin 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2015年第2期315-324,共10页
Reliability allocation of computerized numerical controlled(CNC)lathes is very important in industry.Traditional allocation methods only focus on high-failure rate components rather than moderate failure rate componen... Reliability allocation of computerized numerical controlled(CNC)lathes is very important in industry.Traditional allocation methods only focus on high-failure rate components rather than moderate failure rate components,which is not applicable in some conditions.Aiming at solving the problem of CNC lathes reliability allocating,a comprehensive reliability allocation method based on cubic transformed functions of failure modes and effects analysis(FMEA)is presented.Firstly,conventional reliability allocation methods are introduced.Then the limitations of direct combination of comprehensive allocation method with the exponential transformed FMEA method are investigated.Subsequently,a cubic transformed function is established in order to overcome these limitations.Properties of the new transformed functions are discussed by considering the failure severity and the failure occurrence.Designers can choose appropriate transform amplitudes according to their requirements.Finally,a CNC lathe and a spindle system are used as an example to verify the new allocation method.Seven criteria are considered to compare the results of the new method with traditional methods.The allocation results indicate that the new method is more flexible than traditional methods.By employing the new cubic transformed function,the method covers a wider range of problems in CNC reliability allocation without losing the advantages of traditional methods. 展开更多
关键词 CNC lathes reliability failure modes and effects analysis(FMEA)cubic transformed function comprehensive allocation
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Comprehensive Utility Function for Resource Allocation in Mobile Edge Computing 认领 引用 被引量：1
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作者 Zaiwar Ali Sadia Khaf +5 位作者 Ziaul Haq Abbas Ghulam Abbas Lei Jiao Amna Irshad Kyung Sup Kwak Muhammad Bilal 《Computers, Materials & Continua》 SCIE EI 2021年第2期1461-1477,共17页
In mobile edge computing(MEC),one of the important challenges is how much resources of which mobile edge server(MES)should be allocated to which user equipment(UE).The existing resource allocation schemes only conside... In mobile edge computing(MEC),one of the important challenges is how much resources of which mobile edge server(MES)should be allocated to which user equipment(UE).The existing resource allocation schemes only consider CPU as the requested resource and assume utility for MESs as either a random variable or dependent on the requested CPU only.This paper presents a novel comprehensive utility function for resource allocation in MEC.The utility function considers the heterogeneous nature of applications that a UE offloads to MES.The proposed utility function considers all important parameters,including CPU,RAM,hard disk space,required time,and distance,to calculate a more realistic utility value for MESs.Moreover,we improve upon some general algorithms,used for resource allocation in MEC and cloud computing,by considering our proposed utility function.We name the improved versions of these resource allocation schemes as comprehensive resource allocation schemes.The UE requests are modeled to represent the amount of resources requested by the UE as well as the time for which the UE has requested these resources.The utility function depends upon the UE requests and the distance between UEs and MES,and serves as a realistic means of comparison between different types of UE requests.Choosing(or selecting)an optimal MES with the optimal amount of resources to be allocated to each UE request is a challenging task.We show that MES resource allocation is sub-optimal if CPU is the only resource considered.By taking into account the other resources,i.e.,RAM,disk space,request time,and distance in the utility function,we demonstrate improvement in the resource allocation algorithms in terms of service rate,utility,and MES energy consumption. 展开更多
关键词 Cloud computing energy efficient resource allocation mobile edge computing service rate user equipment utility function
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An Adaptive Hybrid Optimization Strategy for Resource Allocation in Network Function Virtualization 认领 引用
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作者 Chumei Wen Delu Zeng 《Computer Modeling in Engineering & Sciences》 SCIE EI 2024年第2期1617-1636,共20页
With the rapid development of Network Function Virtualization(NFV),the problem of low resource utilizationin traditional data centers is gradually being addressed.However,existing research does not optimize both local... With the rapid development of Network Function Virtualization(NFV),the problem of low resource utilizationin traditional data centers is gradually being addressed.However,existing research does not optimize both localand global allocation of resources in data centers.Hence,we propose an adaptive hybrid optimization strategy thatcombines dynamic programming and neural networks to improve resource utilization and service quality in datacenters.Our approach encompasses a service function chain simulation generator,a parallel architecture servicesystem,a dynamic programming strategy formaximizing the utilization of local server resources,a neural networkfor predicting the global utilization rate of resources and a global resource optimization strategy for bottleneck andredundant resources.With the implementation of our local and global resource allocation strategies,the systemperformance is significantly optimized through simulation. 展开更多
关键词 NFV resource allocation decision-making optimization service function
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An AI Emotion Generation Model Based on Functional Body Hypothesis and Sensory Sharing 认领 引用
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作者 Xiaoyun Zhu 《Journal of Contemporary Educational Research》 2026年第2期76-82,共7页
With the rapid development of artificial intelligence technology,achieving natural and efficient human-computer interaction has become a key challenge.Giving AI real emotional ability is regarded as the core bottlenec... With the rapid development of artificial intelligence technology,achieving natural and efficient human-computer interaction has become a key challenge.Giving AI real emotional ability is regarded as the core bottleneck towards higher-order intelligence.The existing AI emotional interaction mostly focuses on the imitation of human external performance,lacking the support of internal experience,and its essence is“pseudo-empathy.”Inspired by the“body marker hypothesis,”this paper proposes the“functional body hypothesis,”aiming to construct a new model of emotion generation based on the intrinsic homeostatic requirements of the system without relying on anthroposical simulation,and explore its application in the human-computer sensory sharing scenario.By establishing the cornerstone of value judgment,designing the virtual physiological system,and introducing the natural expression mechanism to construct the emotion generation model,the“sensory translator”architecture is proposed to solve the“mixed perception paradox”in human-computer sensory sharing.This unified framework provides a theoretical path beyond personification for AI emotion generation and lays an engineering foundation for bidirectional and credible human-computer empathy and integration. 展开更多
关键词 Artificial intelligence emotion Functional body Value judgment Sensory sharing Human-machine empathy
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Resource Allocation Using SPA Based on Different Cost Functions in Elastic Optical Networks 认领 引用
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作者 Mehdi Tarhani Sanjib Sarkar +1 位作者 Morad Khosravi Eghbal Mehdi Shadaram 《Journal of Computer and Communications》 2019年第10期14-20,共7页
Routing, modulation and spectrum allocation in elastic optical networks is a problem aiming at increasing the capacity of the network. Many algorithms such as shortest path algorithm can be used as the routing section... Routing, modulation and spectrum allocation in elastic optical networks is a problem aiming at increasing the capacity of the network. Many algorithms such as shortest path algorithm can be used as the routing section of this problem. The efficiency of these algorithms is partly based on how the cost of each link is defined. In this study, we considered several basic metrics in cost of network links and compared their effects on the network capacity. In particular, the static costs and the dynamic costs were evaluated and compared. For dynamic scenarios, compared to static scenarios, at least one additional factor, the usage of the links, was added. We further considered a new factor that is based on probability of accommodating the signal at a given time in any given link. The results show that, among them, the shortest path algorithm provides the least blocking probability when the cost is a combination of link length and the abovementioned possibility/usage of the link. 展开更多
关键词 Elastic Optical Networks Routing Modulation Spectrum Allocation Cost Function Shortest Path Algorithm
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Non-dominated sorting quantum particle swarm optimization and its application in cognitive radio spectrum allocation 认领 引用 被引量：4
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作者 GAO Hong-yuan CAO Jin-long 《Journal of Central South University》 SCIE EI CAS 2013年第7期1878-1888,共11页
In order to solve discrete multi-objective optimization problems, a non-dominated sorting quantum particle swarm optimization (NSQPSO) based on non-dominated sorting and quantum particle swarm optimization is proposed... In order to solve discrete multi-objective optimization problems, a non-dominated sorting quantum particle swarm optimization (NSQPSO) based on non-dominated sorting and quantum particle swarm optimization is proposed, and the performance of the NSQPSO is evaluated through five classical benchmark functions. The quantum particle swarm optimization (QPSO) applies the quantum computing theory to particle swarm optimization, and thus has the advantages of both quantum computing theory and particle swarm optimization, so it has a faster convergence rate and a more accurate convergence value. Therefore, QPSO is used as the evolutionary method of the proposed NSQPSO. Also NSQPSO is used to solve cognitive radio spectrum allocation problem. The methods to complete spectrum allocation in previous literature only consider one objective, i.e. network utilization or fairness, but the proposed NSQPSO method, can consider both network utilization and fairness simultaneously through obtaining Pareto front solutions. Cognitive radio systems can select one solution from the Pareto front solutions according to the weight of network reward and fairness. If one weight is unit and the other is zero, then it becomes single objective optimization, so the proposed NSQPSO method has a much wider application range. The experimental research results show that the NSQPS can obtain the same non-dominated solutions as exhaustive search but takes much less time in small dimensions; while in large dimensions, where the problem cannot be solved by exhaustive search, the NSQPSO can still solve the problem, which proves the effectiveness of NSQPSO. 展开更多
关键词 cognitive radio spectrum allocation multi-objective optimization non-dominated sorting quantum particle swarmoptimization benchmark function
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Utility-optimization dynamic subcarrier allocation algorithm for SC-FDMA systems 认领 引用
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作者 李一兵 Zhang Xu Ye Fang 《High Technology Letters》 EI CAS 2014年第1期1-8,共8页
Two utility-optimization dynamic subcarrier allocation(DSA) algorithms are designed for single carrier frequency division multiple access system(SC-FDMA).The two proposed algorithms aim to support diverse transmission... Two utility-optimization dynamic subcarrier allocation(DSA) algorithms are designed for single carrier frequency division multiple access system(SC-FDMA).The two proposed algorithms aim to support diverse transmission capacity requirements in wireless networks,which consider both the channel state information(CSI) and the capacity requirements of each user by setting appropriate utility functions.Simulation results show that with considerable lower computational complexity,the first utility-optimization algorithm can meet the system capacity requirements of each user effectively.However,the rate-sum capacity performance is poor.Furthermore,the second proposed utility-optimization algorithm can contribute a better trade-off between system rate-sum capacity requirement and the capacity requirements of each user by introducing the signal to noise ratio(SNR) information to the utility function based on the first utility-optimization algorithm,which can improve the user requirements processing capability as well as achieve a better sum-rate capacity. 展开更多
关键词 single carrier frequency division multiple access （SC-FDMA） dynamic subcarri-er allocation （DSA） utility function transmission capacity requirements utility-optimization algo-rithm greedy algorithm proportional fair algorithm
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Two-Stage Resource Allocation Scheme for Three-Tier Ultra-Dense Network 认领 引用 被引量：6
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作者 Junwei Huang Pengguang Zhou +2 位作者 Kai Luo Zhiming Yang Gongcheng He 《China Communications》 SCIE CSCD 2017年第10期118-129,共12页
In 5 G Ultra-dense Network(UDN), resource allocation is an efficient method to manage inter-small-cell interference. In this paper, a two-stage resource allocation scheme is proposed to supervise interference and reso... In 5 G Ultra-dense Network(UDN), resource allocation is an efficient method to manage inter-small-cell interference. In this paper, a two-stage resource allocation scheme is proposed to supervise interference and resource allocation while establishing a realistic scenario of three-tier heterogeneous network architecture. The scheme consists of two stages: in stage I, a two-level sub-channel allocation algorithm and a power control method based on the logarithmic function are applied to allocate resource for Macrocell and Picocells, guaranteeing the minimum system capacity by considering the power limitation and interference coordination; in stage II, an interference management approach based on K-means clustering is introduced to divide Femtocells into different clusters. Then, a prior sub-channel allocation algorithm is employed for Femtocells in diverse clusters to mitigate the interference and promote system performance. Simulation results show that the proposed scheme contributes to the enhancement of system throughput and spectrum efficiency while ensuring the system energy efficiency. 展开更多
关键词 ultra-dense network resource allocation logarithmic function K-means
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Utility-based and fairness-aware radio resource allocation in OFDMA cellular relay networks with traffic prioritization 认领 引用
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作者 梁剑 尹慧 +2 位作者 陈浩凯 李中年 刘守印 《Journal of Harbin Institute of Technology(New Series)》 EI CAS 2012年第2期29-35,共7页
The combination of orthogonal frequency division multiple access(OFDMA) with relaying techniques provides plentiful opportunities for high-performance and cost-effective networks.It requires intelligent radio resource... The combination of orthogonal frequency division multiple access(OFDMA) with relaying techniques provides plentiful opportunities for high-performance and cost-effective networks.It requires intelligent radio resource management schemes to harness these opportunities.This paper investigates the utility-based resource allocation problem in a real-time and non-real-time traffics mixed OFDMA cellular relay network to exploit the potentiality of relay.In order to apply utility theory to obtain an efficient tradeoff between throughput and fairness as well as satisfy the delay requirements of real-time traffics,a joint routing and scheduling scheme is proposed to resolve the resource allocation problem.Additionally,a low-complexity iterative algorithm is introduced to realize the scheme.The numerical results indicate that besides meeting the delay requirements of real-time traffic,the scheme can achieve the tradeoff between throughput and fairness effectively. 展开更多
关键词 fairness utility function delay radio resource allocation real-time traffic
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Fast Convergence Resource Allocation in IEEE 802.16 OFDMA Systems with Minimum Rate Guarantee 认领 引用
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作者 Mohammad Mostafavi Javad Musevi Niya +1 位作者 Hosein Mohammadi Behzad Mozaffari Tazehkand 《China Communications》 SCIE CSCD 2016年第12期120-131,共12页
Resource allocation in the context of OFDMA-based systems is challenging, given a combinatorial nature of the problem. In the context of IEEE 802.16 systems this problem is further exacerbated by additional constraint... Resource allocation in the context of OFDMA-based systems is challenging, given a combinatorial nature of the problem. In the context of IEEE 802.16 systems this problem is further exacerbated by additional constraints that are faced with its two dimensional frame nature. The main challenges associated with resource allocation in these systems are: mapping the allocated bandwidth resources to users in this two dimensional frame, power and frequency allocation, and Qo S guarantee. This optimization problem can usually be solved by an iterative algorithm. The solutions proposed have a constant step size in iterations which causes a long convergence time. For this reason, the solutions proposed are not applicable in IEEE 802.16 systems. In this paper we propose a novel resource allocation algorithm in IEEE 802.16 systems which has an adaptive step size in iterations while taking into account the minimum rate guarantee for users. 展开更多
关键词 burst pack channel aware la grangian function OFDMA power allocation sub-channel allocation
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Adaptive Resource Allocation Algorithm for 5G Vehicular Cloud Communication 认领 引用
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作者 Huanhuan Li Hongchang Wei +1 位作者 Zheliang Chen Yue Xu 《Computers, Materials & Continua》 SCIE EI 2024年第8期2199-2219,共21页
The current resource allocation in 5G vehicular networks for mobile cloud communication faces several challenges,such as low user utilization,unbalanced resource allocation,and extended adaptive allocation time.We pro... The current resource allocation in 5G vehicular networks for mobile cloud communication faces several challenges,such as low user utilization,unbalanced resource allocation,and extended adaptive allocation time.We propose an adaptive allocation algorithm for mobile cloud communication resources in 5G vehicular networks to address these issues.This study analyzes the components of the 5G vehicular network architecture to determine the performance of different components.It is ascertained that the communication modes in 5G vehicular networks for mobile cloud communication include in-band and out-of-band modes.Furthermore,this study analyzes the single-hop and multi-hop modes in mobile cloud communication and calculates the resource transmission rate and bandwidth in different communication modes.The study also determines the scenario of one-way and two-way vehicle lane cloud communication network connectivity,calculates the probability of vehicle network connectivity under different mobile cloud communication radii,and determines the amount of cloud communication resources required by vehicles in different lane scenarios.Based on the communication status of users in 5G vehicular networks,this study calculates the bandwidth and transmission rate of the allocated channels using Shannon’s formula.It determines the adaptive allocation of cloud communication resources,introduces an objective function to obtain the optimal solution after allocation,and completes the adaptive allocation process.The experimental results demonstrate that,with the application of the proposed method,the maximum utilization of user communication resources reaches approximately 99%.The balance coefficient curve approaches 1,and the allocation time remains under 2 s.This indicates that the proposed method has higher adaptive allocation efficiency. 展开更多
关键词 5G vehicular networks mobile cloud communication resource allocation channel capacity network connectivity communication radius objective function
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Multi-QoS Guaranteed Resource Allocation for Multi-Services Based on Opportunity Costs 认领 引用
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作者 jin yaqi xu xiaodong tao xiaofeng 《ZTE Communications》 2018年第2期9-15,共7页
To meet the booming development of diversified services and new applications in the future, the fifth-generation mobile conmmnication system （5G） has arisen. Resources are increasingly scarce in the @namic time-vary... To meet the booming development of diversified services and new applications in the future, the fifth-generation mobile conmmnication system （5G） has arisen. Resources are increasingly scarce in the @namic time-varying of 5G networks. Allocating resources effectively and ensuring quality of service （QoS） requirements of multi-seiwices come to be a research focus. In this paper, we utilize effective capacity to build a utility function with multi-QoS metrics, including rate, delay bound and packet loss ratio. Taking advantage of opportunity cost （OC）, we also propose a multi-QoS guaranteed resource allocation algm＇ithm for multi-services to consider the future condition of system. In the algorithm, according to different business characteristics and the theory of OC, we propose different selection conditions for QoS users and best effort （BE） users to choose more reasonable resources. Finally, simulation results show that our proposed algorithm achieves superior system utility and relatively better fairness in multi-service scenarios. 展开更多
关键词 utility function effective capacity opportunity cost QoS guaranteed resource allocation
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Resource allocation based on fairness and QoS provisioning for OFDMA-WLAN system 认领 引用
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作者 鲍楠 夏玮玮 沈连丰 《Journal of Southeast University(English Edition)》 EI CAS 2014年第1期1-6,共6页
To satisfy different service requirements of multiple users in the orthogo nal frequency division multiple access wireless local area network OFDMA-WLAN system downlink transmission a resource allocation algorithm bas... To satisfy different service requirements of multiple users in the orthogo nal frequency division multiple access wireless local area network OFDMA-WLAN system downlink transmission a resource allocation algorithm based on fairness and quality of service QoS provisioning is proposed. Different QoS requirements are converted into different rate requirements to calculate the QoSs atisfaction level.The optimization object is revised as a fairness-driven resource optimization function to provide fairness. The complex resource allocation problem is divided into channel allocation and power assignment sub-problems. The sub-problems are solved by the bipartite graph matching and water-filling based method.Compared with other algorithms the proposed algorithm sacrifices less data rate for higher fairnes and QoS satisfaction.The sim ulation results show that the proposed algorithm is capableo fp rovi ding QoS and fairness and performs better in a tradeoff among QoS fairness and data rate. 展开更多
关键词 QoS quality of service satisfaction level fairness driven function b ipartite graph matching water-f i lling resource allocation
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