In this paper, we conduct research on the game theory and the logic optimization and the applications on construction of China’s new energy subsidy system. The management of energy and the general optimization of ene...In this paper, we conduct research on the game theory and the logic optimization and the applications on construction of China’s new energy subsidy system. The management of energy and the general optimization of energy structure play an important role in the development of the national economy and the upgrading of industrial structure. Therefore, it is the inevitable choice to build a well-off society in an all-round way. The energy projects management in tradition adopts way from bottom to top, namely from the floor of project management starts to collect the data, progressive upward transmission to the high-level, after analysis carries on the management and control to the project, this method had guaranteed the project pays according to progress, quality, cost and other requests, in view of the management of single project. This paper integrates the game theory and the logic optimization to construct the revised system that will be meaningful.展开更多
Device to device(D2 D) multi-hop communication in multicast networks solves the contradiction between high speed requirements and limited bandwidth in regional data sharing communication services. However, most networ...Device to device(D2 D) multi-hop communication in multicast networks solves the contradiction between high speed requirements and limited bandwidth in regional data sharing communication services. However, most networking models demand a large control overhead in eNodeB. Moreover, the topology should be calculated again due to the mobility of terminals, which causes the long delay. In this work, we model multicast network construction in D2 D communication through a fuzzy mathematics and game theory based algorithm. In resource allocation, we assume that user equipment(UE) can detect the available frequency and the fuzzy mathematics is introduced to describe an uncertain relationship between the resource and UE distributedly, which diminishes the time delay. For forming structure, a distributed myopic best response dynamics formation algorithm derived from a novel concept from the coalitional game theory is proposed, in which every UE can self-organize into stable structure without the control from eNodeB to improve its utilities in terms of rate and bit error rate(BER) while accounting for a link maintenance cost, and adapt this topology to environmental changes such as mobility while converging to a Nash equilibrium fast. Simulation results show that the proposed architecture converges to a tree network quickly and presents significant gains in terms of average rate utility reaching up to 50% compared to the star topology where all of the UE is directly connected to eNodeB.展开更多
文摘In this paper, we conduct research on the game theory and the logic optimization and the applications on construction of China’s new energy subsidy system. The management of energy and the general optimization of energy structure play an important role in the development of the national economy and the upgrading of industrial structure. Therefore, it is the inevitable choice to build a well-off society in an all-round way. The energy projects management in tradition adopts way from bottom to top, namely from the floor of project management starts to collect the data, progressive upward transmission to the high-level, after analysis carries on the management and control to the project, this method had guaranteed the project pays according to progress, quality, cost and other requests, in view of the management of single project. This paper integrates the game theory and the logic optimization to construct the revised system that will be meaningful.
基金supported by the National Science and Technology Major Project of China(2013ZX03005007-004)the National Natural Science Foundation of China(6120101361671179)
文摘Device to device(D2 D) multi-hop communication in multicast networks solves the contradiction between high speed requirements and limited bandwidth in regional data sharing communication services. However, most networking models demand a large control overhead in eNodeB. Moreover, the topology should be calculated again due to the mobility of terminals, which causes the long delay. In this work, we model multicast network construction in D2 D communication through a fuzzy mathematics and game theory based algorithm. In resource allocation, we assume that user equipment(UE) can detect the available frequency and the fuzzy mathematics is introduced to describe an uncertain relationship between the resource and UE distributedly, which diminishes the time delay. For forming structure, a distributed myopic best response dynamics formation algorithm derived from a novel concept from the coalitional game theory is proposed, in which every UE can self-organize into stable structure without the control from eNodeB to improve its utilities in terms of rate and bit error rate(BER) while accounting for a link maintenance cost, and adapt this topology to environmental changes such as mobility while converging to a Nash equilibrium fast. Simulation results show that the proposed architecture converges to a tree network quickly and presents significant gains in terms of average rate utility reaching up to 50% compared to the star topology where all of the UE is directly connected to eNodeB.
