具有时延QoS保证的OFDM中继系统子载波配对与功率分配算法

 本文研究具有直接通信链路的OFDM解码转发(Decode-and-Forward,DF)中继系统的子载波配对与功率分配算法,目标是在满足业务时延QoS要求的前提下最大化系统容量.利用有效容量模型,首先把OFDM DF中继系统的子载波配对与功率分配问题形成为混合整数规划问题,然后把其转化为连续松弛凸规划问题,利用凸优化方法得到原问题的最优解,从而提出了一种联合最优的子载波配对与功率分配迭代算法.理论推导结果和仿真结果表明,最优子载波配对与功率分配不仅取决于子载波的信道增益,还取决于业务的时延QoS要求.与已有算法相比,本文算法获得的有效容量最大.     

基于网络空间复用与累积干扰的无线Ad Hoc网络性能优化

无线Ad hoc网络中,网络容量主要依赖于网络的空间复用度以及由于节点并发所造成的累积干扰。文章首先分析了网络的空间复用与干扰对于网络容量的影响,将网络容量映射为网络的空间复用以及网络中存在的干扰的相互作用的函数。并进一步基于安全载波监听的概念,提出了一种空间复用提升以及干扰避免的节点数据发送策略。该策略能够根据网络当中存在的干扰动态地调整节点的发送方式,在提高网络空间复用的同时控制网络当中存在的干扰,从而达到网络性能优化的目的。理论分析以及仿真实验都证实了我们的策略能够有效的提高无线Ad Hoc网络的吞吐量,优化网络性能。     

网络负载均衡技术对HRPD网络的性能提升

HRPD智能网络的关键技术之一——网络负载均衡(NLB)技术,能解决现网所存在的负载不均衡问题,有效地提升网络性能,改善用户体验.通过将网络负载均衡技术应用到现网环境下,评估该技术在现网的应用效果,重点分析开启网络负载均衡技术后,现网重负载扇区的容量增益及用户体验增益情况.分析结果表明,网络负载均衡技术能有效降低重负载扇区的负荷量,为网络带来一定的容量增益和用户体验增益.     

Mesoporous cobalt oxide for largely improved lithium storage properties

We report the microstructure,application for lithium-ion batteries of mesoporous Co3O4 prepared by modified KIT-6 template method.The sample was characterized by XRD,TEM,HRTEM and nitrogen adsorption.Their electrochemical behaviors as electrode reactants for lithium ion batteries were evaluated by cyclic voltammograms and static charge-discharge.A direct comparison of electrochemical behaviors between mesoporous nanostructure and bulk reflects interesting "nanostructure effect",which is reasonably discussed in terms of how the 3D nanostructures of Co3O4 materials function in tuning their electrochemistry.The results demonstrate that further improvement of electrochemical performance in transition metal-oxide-based anode materials can be realized via the design of multiporous nanostructured materials.     

Dawson磷钼钒酸的合成、脱硫与微波辅助空气再生

采用乙醚萃取法制备了Dawson结构磷钼钒酸H6+n[P2Mo18-nVnO62](n=1～4),考察了不同钒原子取代数目、吸收温度、H2S气体浓度、杂多酸吸收剂浓度等条件下,4种杂多酸水溶液对H2S的吸收效率,发现其中H7[P2Mo17VO62]吸收剂具有最佳脱硫性能。采用微波辅助空气再生的方法对脱硫后的H7[P2Mo17VO62]吸收剂强化再生,通过红外、X射线能谱着重对吸收前、微波再生前后的H7[P2Mo17VO62]吸收剂进行了表征,并通过测定氧化还原电位、化学需氧量(COD)分析了再生前后吸收剂的氧化还原情况,结果表明,H2S还原V(Ⅴ)之后又进一步还原了Mo(Ⅵ),微波能够活化氧气从而促进脱硫后吸收剂的再生,是优于单纯空气再生的一种新的再生方法。     

酰胺接枝ACF的制备及其在处理水体中重金属Cu2+的应用

利用聚丙烯腈基活性碳纤维(PAN-ACF)表面存在的羧基与氯化亚砜SOCl2发生酰氯化反应后与乙二胺110℃加热回流在其表面接枝胺基、酰胺基团对其进行改性,用傅立叶转换红外光谱仪(FTIR)、X射线光电子能谱仪(XPS)对改性前后活性碳纤维的表面结构和元素结合态及含量变化进行了表征,并将改性后的活性碳纤维(NH-ACF)应用于水体中Cu2+离子的去除处理,用电感耦合等离子体原子发射光谱仪(ICP-AES)检测被处理溶液中的Cu2+离子浓度变化,进而得出Cu2+离子在NH-ACF上的最大吸附量qmax.结果表明,NH-ACF比未改性处理的PAN-ACF对Cu2+吸附去除能力具有显著的优势,前者约为后者的1.5倍.     

Mg、Ti离子复合掺杂改性磷酸铁锂正极材料及其电池性能

在氮气气氛下采用高温固相方法, 合成了Mg、Ti 离子复合掺杂改性的锂离子电池正极材料(Li_0.98Mg_0.01)(Fe_0.98Ti_0.01)PO₄/C, 并通过粉末X射线衍射(XRD)、扫描电子显微镜(SEM)、透射电子显微镜(TEM)和充放电循环对材料进行性能表征. 测试结果表明, 复合离子掺杂可显著改善材料的电化学性能, 模拟电池在0.2C和1C倍率下的放电比容量分别为154.7 和146.9 mAh·g^-1. 以此复合掺杂样品为正极材料组装60 Ah动力电池, 其3C倍率放电容量仍保持为1C倍率放电容量的100%; 低温0 和-20 °C测试条件下, 动力电池放电容量分别保持为常温初始放电容量的89.7%和63.1%; 在常温1C/1C充放电条件下, 经过2000次循环后, 电池容量依然保持为初始放电容量的89%, 显示出优良的倍率放电性能和循环性能. 研究结果表明, Mg、Ti 离子复合掺杂改性的磷酸铁锂正极材料及其电池具有优良的放电性能和循环稳定性, 可广泛应用于电动(或混合动力)汽车和储能电池系统.     

Team-moving effect in bi-direction pedestrian flow

We propose a cellular automation model to simulate team-moving behavior in bi-directional pedestrian flow. The moving rules for double-pedestrian teaming include the constraint that pedestrians remain on adjacent cells. Phase transition, critical density — team number, velocity–density, and flow–density relationships are key component parts of the analysis. Simulations show that team-moving produces significant corridor capacity effects, and effects highly depend on the type of teaming behavior. In daily life, pedestrians prefer traverse teaming; under this bias, as teaming pedestrians increase in number, critical density reduces; that means traverse teaming will weaken the capacity of the corridor. The effect of traverse team-moving is nonlinear, and capacity will continually reduce as the team numbers increase; however, reduction rate will decay. We call this phenomenon, “the marginal utility of team-moving.”     

Optimization of transport protocols in complex networks

In this paper, an optimal routing strategy is proposed to enhance the traffic capacity of complex networks. In order to avoid nodes overloading, the new algorithm is derived on the basis of generalized betweenness centrality which gives an estimate of traffic handled by the node for a route set. Since the nodes with large betweenness centrality are more susceptible to traffic congestion, the traffic can be improved, as our strategy, by redistributing traffic load from nodes with large betweenness centrality to nodes with small betweenness centrality in the proceeding of computing collective routing table. Particularly, depending on a parameter that controls the optimization scale, the new routing can not only enlarge traffic capacity of networks more, but also enhance traffic efficiency with smaller average path length. Comparing results of previous routing strategies, it is shown that the present improved routing performs more effectively.     

Multi-scaling mix and non-universality between population and facility density

The distribution of facilities is closely related to our social economic activities. Recent studies have reported a scaling relation between population and facility density, with the exponent depending on the type of facility. In this paper, we show that generally this exponent is not universal for a specific type of facility. Instead, by using Chinese data, we find that it increases with per capita gross domestic product (GDP). Thus our observed scaling law is actually a mixture of several multi-scaling relations. This result indicates that facilities may change their public or commercial attributes according to the outside environment. We argue that this phenomenon results from an unbalanced regional economic level, and suggest a modification of a previous model by introducing the consuming capacity. The modified model reproduces most of our observed properties.