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| 1 | Energy efficient resource allocation in non-cooperative multi-cell OFDMA systems显示文摘A non-cooperative game is proposed to perform the sub-carrier assignment and power allocation for the multi-cell orthogonal frequency division multiple access(OFDMA) system.The objective is to raise the spectral efficiency of the system and prolong the life time of user nodes.This paper defines a game player as a cell formed by the unique base station and the served users.The utility function considered here measures the user's achieved utility per power.Each individual cell's goal is to maximize the total utility of its users.To search the Nash equilibrium(NE) of the game,an iterative and distributed algorithm is presented.Since the NE is inefficient,the pricing of user's transmission power is introduced to improve the NE in the Pareto sense.Simulation results show the proposed game outperforms the water-filling algorithm in terms of fairness and energy efficiency.Moreover,through employing a liner pricing function,the energy efficiency could be further improved. | Guopeng Zhang Peng Liu Enjie Ding | 2011 | Journal of Systems Engineering and Electronics2011，22，1： | 5 |
| 2 | A suboptimal joint bandwidth and power allocation for cooperative relay networks:a cooperative game theoretic approach显示文摘In commercial networks, user nodes operating on batteries are assumed to be selfish to consume their resources (i.e., bandwidth and power) solely maximizing their own benefits (e.g., the received signal-to-noise ratios (SNRs) and datarates). In this paper, a cooperative game theoretical framework is proposed to jointly perform the bandwidth and power allocation for selfish cooperative relay networks. To ensure a fair and efficient resource sharing between two selfish user nodes, we assume that either node can act as a source as well as a potential relay for each other and either node is willing to seek cooperative relaying only if the datarate achieved through cooperation is not lower than that achieved through noncooperation (i.e., direct transmission) by consuming the same amount of bandwidth and power resource. Define the cooperative strategy of a node as the number of bandwidth and power that it is willing to contribute for relaying purpose. The two node joint bandwidth and power allocation (JBPA) problem can then be formulated as a cooperative game. Since the Nash bargaining solution (NBS) to the JBPA game (JBPAG) is computationally difficult to obtain, we divide it into two subgames, i.e., the bandwidth allocation game (BAG) and the power allocation game (PAG). We prove that both the subgames have unique NBS. And then the suboptimal NBS to the JBPAG can be achieved by solving the BAG and PAG sequentially. Simulation results show that the proposed cooperative game scheme is efficient in that the performance loss of the NBS result to that of the maximal overall data-rate scheme is small while the maximal-rate scheme is unfair. The simulation results also show that the NBS result is fair in that both nodes could experience better performance than they work independently and the degree of cooperation of a node only depends on how much contribution its partner can make to improve its own performance. | ZHANG GuoPeng DING EnJie YANG Kun LIU Peng | 2013 | Science China(Information Sciences)2013，56，7： | 4 |
| 3 | Energy-efficient power allocation for selfish cooperative communication networks using bargaining game显示文摘In commercial networks,user nodes operating on batteries are assumed to be selfish to consume their energy solely to maximize their own benefits,e.g.,data rates.In this paper,we propose a bargaining game to perform the power allocation for the selfish cooperative communication networks.In our system,two partner nodes can act as a source as well as a relay for each other,and each node is with an energy constraint to transmit one frame.Consider a selfish node is willing to seek cooperative transmission only if the data rate achieved through cooperation will not lower than that achieved through noncooperation by using the same amount of energy.The energy-efficient power allocation problem can be modeled as a cooperative game.We proved that there exists a unique Nash bargaining solution (NBS) for the game by verifying that the game is indeed a bargaining problem.Thus,the two objectives,i.e.,system efficiency and user fairness specified in the selfish networks can be achieved.Simulation results show that the NBS scheme is efficient in that the performance loss of the NBS scheme to that of the maximal overall rate scheme is small while the maximal-rate scheme is unfair.The simulation results also show that the NBS result is fair in that both nodes could experience better performance than they work independently and the degree of cooperation of a node only depends on how much contribution its partner can make to improve its own performance. | DING EnJie ZHANG GuoPeng LIU Peng YANG Kun | 2012 | Science China(Information Sciences)2012，55，4： | 3 |
| 4 | 基于多属性决策的社交网络用户识别(英文)显示文摘Social networks are becoming increasingly popular and influential,and users are frequently registered on multiple networks simultaneously,in many cases leaving large quantities of personal information on each network.There is also a trend towards the personalization of web applications;to do this,the applications need to acquire information about the particular user.To maximise the use of the various sets of user information distributed on the web,this paper proposes a method to support the reuse and sharing of user profiles by different applications,and is based on user profile integration.To realize this goal,the initial task is user identification,and this forms the focus of the current paper.A new user identification method based on Multiple Attribute Decision Making(MADM) is described in which a subjective weight-directed objective weighting,which is obtained from the Similarity Weight method,is proposed to determine the relative weights of the common properties.Attribute Synthetic Evaluation is used to determine the equivalence of users.Experimental results show that the method is both feasible and effective despite the incompleteness of the candidate user dataset. | 叶娜 张银亮 董丽丽 边根庆 Enjie LIU Gordon J.Clapworthy | 2013 | China Communications2013，10，12： | 3 |
| 5 | Synthesis of Ag-SiO_2 composite nanospheres and their catalytic activity显示文摘A simple,mild,and time-saving method is employed to synthesize Ag-SiO2 composite nanospheres with Ag nanoparticles uniformly distributed on the surface of SiO2 nanoparticles.The chemical elements and the morphology of Ag-SiO2 composite nanospheres were analyzed with transmission electron microscopy(TEM),X-ray power diffraction(XRD),and X-ray photoelectron spectroscopy(XPS).On the surface of Ag-SiO2 composite nanospheres,silane coupling agent(KH-550)is introduced as an intermediary to connect the surfaces of SiO2 nanospheres and Ag nanoparticles,which is also helpful for avoiding the aggregation of Ag nanoparticles.It is found that Ag-SiO2 composite nanospheres have very good catalytic properties for the reduction of organic dyes,which may have potential application in wastewater treatment. | HAN QingYan LI GuiAn WANG DeXuan HE EnJie DONG Jun GAO Wei LI JunNa LIU TingZhuo ZHANG ZhongYue ZHENG HaiRong | 2014 | Science China Chemistry2014，57，6： | 2 |
| 6 | Pareto optimal time-frequency resource allocation for selfish wireless cooperative multicast networks显示文摘In selfsh wireless cooperative multicast networks(WCMNs),a source node wants to achieve the optimal beneft(i.e.,rate gain),while the relaying nodes are willing to get fairness rewards(i.e.,rate gains)from the source for the cooperative relaying.In this paper,we implement these two diferent objectives for the source and the relays through the Pareto optimal resource allocation.Defne the cooperative strategy of a node as the fraction of a data-frame that it is willing to contribute to its cooperative partners.Consider the rational decision made by one node will defnitely afect its cooperative partners’choice.Then,we can formulate this resource sharing problem as a Nash bargaining problem(NBP),and the Nash bargaining solution(NBS)to the NBP encapsulates the Pareto optimality naturally.Finally,to enable the nodes to be capable of computing the NBS cooperative strategies rapidly as the wireless channel changes,we propose a fast particle swarm optimizer(PSO)algorithm to search for the NBS.Simulation results show that the two specifed objectives of the source and the relays can be implemented in the Pareto optimal sense,i.e.,the source can achieve a signifcant performance gain in comparison with direct multicast and the relays can get a fair reward by the source according to the level of contribution it has made to improve the performance of the source. | ZHANG GuoPeng LIU Peng DING EnJie | 2013 | Science China(Information Sciences)2013，56，12： | 1 |
| 7 | The mechanism for the effect of selenium supplementation on immunity显示文摘 | Enjie Sun Huibi Xu Qiong Liu Jingyan Zhou Ping Zuo Junjian Wang | 1995 | Biological Trace Element Research1995，，3： | 1 |
| 8 | Enriched gestation activates the IGF pathway to evoke embryo-adult benefits to prevent Alzheimer’s disease显示文摘Background:Building brain reserves before dementia onset could represent a promising strategy to prevent Alzheimer’s disease(AD),while how to initiate early cognitive stimulation is unclear.Given that the immature brain is more sensitive to environmental stimuli and that brain dynamics decrease with ageing,we reasoned that it would be effective to initiate cognitive stimulation against AD as early as the fetal period.Methods:After conception,maternal AD transgenic mice(3×Tg AD)were exposed to gestational environment enrichment(GEE)until the day of delivery.The cognitive capacity of the offspring was assessed by the Morris water maze and contextual fear-conditioning tests when the offspring were raised in a standard environment to 7 months of age.Western blotting,immunohistochemistry,real-time PCR,immunoprecipitation,chromatin immunoprecipitation(ChIP)assay,electrophysiology,Golgi staining,activity assays and sandwich ELISA were employed to gain insight into the mechanisms underlying the beneficial effects of GEE on embryos and 7–10-month-old adult offspring.Results:We found that GEE markedly preserved synaptic plasticity and memory capacity with amelioration of hallmark pathologies in 7–10-m-old AD offspring.The beneficial effects of GEE were accompanied by global histone hyperacetylation,including those at bdnf promoter-binding regions,with robust BDNF mRNA and protein expression in both embryo and progeny hippocampus.GEE increased insulin-like growth factor 1(IGF1)and activated its receptor(IGF1R),which phosphorylates Ca^(2+)/calmodulin-dependent kinase IV(CaMKIV)at tyrosine sites and triggers its nuclear translocation,subsequently upregulating histone acetyltransferase(HAT)and BDNF transcription.The upregulation of IGF1 mimicked the effects of GEE,while IGF1R or HAT inhibition during pregnancy abolished the GEE-induced CaMKIV-dependent histone hyperacetylation and BDNF upregulation.Conclusions:These findings suggest that activation of IGF1R/CaMKIV/HAT/BDNF signaling by gestational environment enrichment may serve as a promising strategy to delay AD progression. | Enjie Liu Qiuzhi Zhou Ao-Ji Xie Mengzhu Li Shujuan Zhang Hezhou Huang Zhenyu Liuyang Yali Wang Bingjin Liu Xiaoguang Li Dongsheng Sun Yuping Wei Xiaochuan Wang Qun Wang Dan Ke Xifei Yang Ying Yang Jian-Zhi Wang | 2019 | Translational Neurodegeneration2019，8，1： | 1 |
| 9 | Two Proton Interferometry in 46.7 MeV/u ^(12)C Induced Reactions显示文摘The particle-particle(P-P)correlation functions are investigated in 46.7MeV/u^(12)C induced reactions,the correlation functions are greatly enhanced at q~20 MeV/c when the sum of the energies of two correlated protons are high and almost independent on the targets.On the contrast,a strongly target dependent effect is observed for the P-P correlation functions when the sum energies are low. | XI Hongfei ZHAN Wenglong ZHU Yongtai GUO Zhongyan HU Xiaoqing LIU Guanhua ZHOU Jianqun YIN Shuzhi ZHAO Youxiong WEZhiyong FAN Enjie | 1992 | Chinese Physics Letters1992，9，8： | 0 |
| 10 | Security-Critical Components Recognition Algorithm for Complex Heterogeneous Information Systems显示文摘With the skyrocketing development of technologies,there are many issues in information security quantitative evaluation(ISQE)of complex heterogeneous information systems(CHISs).The development of CHIS calls for an ISQE model based on security-critical components to improve the efficiency of system security evaluation urgently.In this paper,we summarize the implication of critical components in different filed and propose a recognition algorithm of security-critical components based on threat attack tree to support the ISQE process.The evaluation model establishes a framework for ISQE of CHISs that are updated iteratively.Firstly,with the support of asset identification and topology data,we sort the security importance of each asset based on the threat attack tree and obtain the security-critical components(set)of the CHIS.Then,we build the evaluation indicator tree of the evaluation target and propose an ISQE algorithm based on the coefficient of variation to calculate the security quality value of the CHIS.Moreover,we present a novel indicator measurement uncertainty aiming to better supervise the performance of the proposed model.Simulation results show the advantages of the proposed algorithm in the evaluation of CHISs. | Jinxin Zuo Yueming Lu Hui Gao Tong Peng Ziyv Guo Tong An Enjie Liu | 2021 | Computers, Materials & Continua2021，，8： | 0 |
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