云计算利用分布式系统进行复杂计算,其中的资源分配技术是当前的关注焦点,为了更好地提高云计算系统的服务效率,可以按照一定策略将各种资源分配给虚拟机,并充分考虑CPU内存、虚拟机放置能耗、性能损耗等约束条件,选择和应用优化的算法...云计算利用分布式系统进行复杂计算,其中的资源分配技术是当前的关注焦点,为了更好地提高云计算系统的服务效率,可以按照一定策略将各种资源分配给虚拟机,并充分考虑CPU内存、虚拟机放置能耗、性能损耗等约束条件,选择和应用优化的算法,即基于强化学习的虚拟机放置的基于强化学习的资源分配(Reinforcement Learning-based Resource Allocation,RLRA)算法和蒙特卡罗搜索树(Monte Carlo Tree Search,MCTS)算法,并进行系统资源的合理调整和动态分配,提高云计算系统的能耗节约效能。展开更多
In the future fifth generation(5G) systems,non-orthogonal multiple access(NOMA) is a promising technology that can greatly enhance the network capacity compared to orthogonal multiple access(OMA) .In this paper,we pro...In the future fifth generation(5G) systems,non-orthogonal multiple access(NOMA) is a promising technology that can greatly enhance the network capacity compared to orthogonal multiple access(OMA) .In this paper,we propose a novel random access(RA) and resource allocation scheme for the coexistence of NOMA-based and OMAbased machine-to-machine(M2M) communications,which aims at improving the number of successful data packet transmissions and guaranteeing the quality of service(Qo S) (e.g.,the minimum data rate requirement) for M2 M communications.The algorithm of joint user equipment(UE) paring and power allocation is proposed for the coexisting RA(i.e.,the coexistence of NOMA-based RA and OMA-based RA) .The resource allocation for the coexisting RA is investigated,thus improving the number of successful data packet transmissions by more efficiently using the radio resources.Simulation results demonstrate that the proposed RA and resource allocation scheme outperforms the conventional RA in terms of the number of successful data packet transmissions,thus is a promising technology in future M2 M communications.展开更多
Cognitive radio is being widely discussed,and resource allocation scheme is drawing a lot of attention.Although the existed resource allocation strategies have successfully enhanced spectrum efficiency,some critical c...Cognitive radio is being widely discussed,and resource allocation scheme is drawing a lot of attention.Although the existed resource allocation strategies have successfully enhanced spectrum efficiency,some critical challenges still remain unanswered such as the jointly consideration of the efficiency and fairness,the rational description of the spectrum resources,and the execution mode of the spectrum allocation.This paper presents a system level dynamic frequency spectrum allocation scheme based on a central heterogeneous network architecture,evaluates the matching degree of the spectrum demand and the available spectrum resources with corresponding matrices,jointly considers the efficiency and fairness of different cognitive radio systems.Simulation results and the application scenario are also presented and analyzed.展开更多
In the evolution of economic growth drivers, technology gaps are a key variable that determines the efficiency of resource allocation. Analysis of an optimal resource allocation path based on an extended endogenous gr...In the evolution of economic growth drivers, technology gaps are a key variable that determines the efficiency of resource allocation. Analysis of an optimal resource allocation path based on an extended endogenous growth model reveals that economic growth drivers evolve from productive investment to R＆D investment and a shift from imitation to innovation. Empirical analysis based on China＇s provincial-level panel data suggests that the effect of productive investment and R＆D investment, as well as innovation and imitation, on economic growth and technological progress varies greatly among regions of disparate technology levels. As a late-starting country, China should properly allocate resources between productive investment and R＆D investment, and between imitational investment and innovative investment while advancing the transformation of economic growth patterns on a differentiated basis in light of regional technology disparities.展开更多
In this paper, we study the virtual resource(VR) allocation problem in LTE-based wireless network virtualization(WNV). A practical network scenario, where multiple virtual wireless service providers(WSPs)request the V...In this paper, we study the virtual resource(VR) allocation problem in LTE-based wireless network virtualization(WNV). A practical network scenario, where multiple virtual wireless service providers(WSPs)request the VR from a unique mobile network operator(MNO) is considered. Our objective is two folds. The first is to guarantee the minimum rate requirements of the MNO and the WSPs. The second is to distribute the system rate among the MNO and the WSPs in the Pareto optimal manner. To this end, an efficient VR allocation scheme based on bargaining game theory is proposed, and the Nash bargaining solution(NBS) method is used to solve the proposed game problem. The proposed game problem is proved to be a convex optimization problem. By using standard convex optimization method, the global optimal NBS of the game is obtained in closed form. The effectiveness of the proposed VR allocation game is testified through numerical results.展开更多
文摘云计算利用分布式系统进行复杂计算,其中的资源分配技术是当前的关注焦点,为了更好地提高云计算系统的服务效率,可以按照一定策略将各种资源分配给虚拟机,并充分考虑CPU内存、虚拟机放置能耗、性能损耗等约束条件,选择和应用优化的算法,即基于强化学习的虚拟机放置的基于强化学习的资源分配(Reinforcement Learning-based Resource Allocation,RLRA)算法和蒙特卡罗搜索树(Monte Carlo Tree Search,MCTS)算法,并进行系统资源的合理调整和动态分配,提高云计算系统的能耗节约效能。
基金supported by the National Natural Science Foundation of China(61501056)National Science and Technology Major Project of China(No.2016ZX03001012)the Research Fund of ZTE Corporation
文摘In the future fifth generation(5G) systems,non-orthogonal multiple access(NOMA) is a promising technology that can greatly enhance the network capacity compared to orthogonal multiple access(OMA) .In this paper,we propose a novel random access(RA) and resource allocation scheme for the coexistence of NOMA-based and OMAbased machine-to-machine(M2M) communications,which aims at improving the number of successful data packet transmissions and guaranteeing the quality of service(Qo S) (e.g.,the minimum data rate requirement) for M2 M communications.The algorithm of joint user equipment(UE) paring and power allocation is proposed for the coexisting RA(i.e.,the coexistence of NOMA-based RA and OMA-based RA) .The resource allocation for the coexisting RA is investigated,thus improving the number of successful data packet transmissions by more efficiently using the radio resources.Simulation results demonstrate that the proposed RA and resource allocation scheme outperforms the conventional RA in terms of the number of successful data packet transmissions,thus is a promising technology in future M2 M communications.
文摘Cognitive radio is being widely discussed,and resource allocation scheme is drawing a lot of attention.Although the existed resource allocation strategies have successfully enhanced spectrum efficiency,some critical challenges still remain unanswered such as the jointly consideration of the efficiency and fairness,the rational description of the spectrum resources,and the execution mode of the spectrum allocation.This paper presents a system level dynamic frequency spectrum allocation scheme based on a central heterogeneous network architecture,evaluates the matching degree of the spectrum demand and the available spectrum resources with corresponding matrices,jointly considers the efficiency and fairness of different cognitive radio systems.Simulation results and the application scenario are also presented and analyzed.
文摘In the evolution of economic growth drivers, technology gaps are a key variable that determines the efficiency of resource allocation. Analysis of an optimal resource allocation path based on an extended endogenous growth model reveals that economic growth drivers evolve from productive investment to R＆D investment and a shift from imitation to innovation. Empirical analysis based on China＇s provincial-level panel data suggests that the effect of productive investment and R＆D investment, as well as innovation and imitation, on economic growth and technological progress varies greatly among regions of disparate technology levels. As a late-starting country, China should properly allocate resources between productive investment and R＆D investment, and between imitational investment and innovative investment while advancing the transformation of economic growth patterns on a differentiated basis in light of regional technology disparities.
基金supported in part by China University of Mining and Technology Funds for Academic Frontier Research(Grant No.2015XKQY18)National High-tech R&D Program of China(863 Program)(Grant Nos.2015AA015701+1 种基金2015AA01A705)National Natural Science Foundation of China(Grant No.61100167)
文摘In this paper, we study the virtual resource(VR) allocation problem in LTE-based wireless network virtualization(WNV). A practical network scenario, where multiple virtual wireless service providers(WSPs)request the VR from a unique mobile network operator(MNO) is considered. Our objective is two folds. The first is to guarantee the minimum rate requirements of the MNO and the WSPs. The second is to distribute the system rate among the MNO and the WSPs in the Pareto optimal manner. To this end, an efficient VR allocation scheme based on bargaining game theory is proposed, and the Nash bargaining solution(NBS) method is used to solve the proposed game problem. The proposed game problem is proved to be a convex optimization problem. By using standard convex optimization method, the global optimal NBS of the game is obtained in closed form. The effectiveness of the proposed VR allocation game is testified through numerical results.
