采用IntServ-over-DiffServ的UMTS全IP接入方案

讨论UMTS系统全IP接入的QoS问题，提出一种采用IntServ-over-DiffServ的全IP接入方案，以解决UTRAN网络中的QoS问题。该方案在节点B和无线网络控制器之间建立区分服务域，并在其中使用聚合RSVP技术，既保证了网络的扩展性，又能够向业务流提供良好的QoS支持。     

蜂窝小区内分层中继组播策略的信道容量分析

蜂窝网小区内,中继终端的移动性会引起协同中继信道的不稳定,进而造成组播码流的频繁中断. 为解决这一问题,提出了一种既能保持协同网络高带宽特性,又能改善组播服务连续性的分层中继组播策略. 利用抽象信道模型和非衰减无线信道模型,对满足该策略的分层多节点中继信道的容量进行了分析. 理论分析和仿真结果表明,同普通非分层中继网络相比,新策略虽然在信道容量上略有降低,但保证了组播服务的连续性.     

Novel flow control mechanism based on improved BP neural network in cognitive packet network

In this paper, a novel flow control mechanism in cognitive packet network (CPN) based on the improved back propagation (BP) neural network is proposed, considering the flow distribution status predicted by BP neural network when packets are routed. The objective is to increase the capacity of CPN and improve the quality of service (QoS) by achieving flow balance. Besides, considering the slow convergence speed of traditional BP algorithm and the quick change of the flow status in cognitive packet network, an improved BP algorithm with dynamic learning rate is designed in order to achieve a higher convergence speed. The mechanism, which we propose, regards the predicated traffic data as an important factor when packets are routed to implement flow control. By achieving balance, the quality of network can be improved obviously. The simulation results show that the proposed mechanism provides better average time delay and packets loss ratio.     

基于时间机制的无线TCP协议

无线TCP协议是目前新一代无线移动因特网研究的热点领域之一。本文在对适用于无线链路的TCP协议进行总结和分析的基础上，研究了3种基于时间机制的TCP协议：TCP Vegas，TCP Westwood以及TCP Reno的基本原理和性能，并在ns2仿真平台上对这3种TCP协议在无线信道中的部分性能进行了分析和比较，最后提出了进一步的研究方向。     

分布式电压无功全局优化控制系统的研制

分析了目前广州电网电压无功控制存在的不足，介绍了自主开发的分布式电压无功全局优化控制系统的结构原理、研制过程、技术难点及应用情况。该系统已在广州鹿鸣电网挂网运行，运行良好。系统由主站系统、变电站电压无功实时控制子系统（VQC)和通信子系统构成。各子站系统的电压和无功控制范围通过全网离散无功优化计算获得，可实现对电网电压无功全局优化和分布式实时控制。     

Ti基RuO2-CeO2-SnO2涂层阳极的电催化性能

利用热分解法制备了不同CeO2含量的Ti基RuO2-CeO2-SnO2涂层阳极, 通过循环伏安曲线和电化学阻抗谱测试了所制备的涂层阳极的电催化性能, 并用扫描电镜对涂层阳极的表面形貌进行了观察. 结果表明 制备温度对涂层阳极的性能有很大影响, 在涂层阳极中引入CeO2可以增加RuO2-CeO2- SnO2涂层的有效活性表面积, 从而提高涂层阳极的电催化活性, 且CeO2含量的最佳摩尔分数为0.4.     

异构蜂窝网络中用户非均匀分布的CRE和eICIC优化

在假设用户均匀分布的场景中,联合优化小区范围扩展(CRE)和增强型小区间干扰协调(eICIC)不适用用户分布非均匀的实际场景.考虑到用户非均匀分布的特点,提出了相应的CRE和eICIC联合优化方案.考虑到建模的复杂性,使用了斯坦伯格博弈建模CRE和eICIC的联合优化过程, 将宏基站作为领导者决定eICIC策略,将pico基站作为跟随者决定CRE策略, 进而提出一种求解算法,以获得斯坦伯格博弈均衡解.仿真结果表明了所提出的斯坦伯格均衡解算法的收敛性及有效性.     

无线环境下保证QoS的传输层拥塞控制机制

讨论了在无线信道条件恶化时,如何根据用户的服务质量(QoS)要求降低传输控制协议(TCP)发送速率的最佳参数值,在此基础上给出了2种调节TCP拥塞口的算法. 目前在无线环境下的TCP拥塞控制研究一般考虑如何提高吞吐量,出现误码丢包时不减小拥塞窗口的大小,这种设计导致了数据发送可靠性的降低. 本方案则同时考虑吞吐量要求和可靠性要求,很好地解决了无线环境下TCP吞吐量和用户的QoS要求. 仿真结果证明,该机制有效地保证了用户的QoS要求,又不会过多降低系统吞吐量.     

A novel spectrum prediction scheme based on SVM in cognitive radio networks

In cognitive radio networks, Secondary Users (SUs) have opportunities to access the spectrum channel when primary user would not use it, which will enhance the resource utilization. In order to avoid interference to primary users, it is very important and essential for SUs to sense the idle spectrum channels, but also it is very hard to detect all the channels in a short time due to the hardware restriction. This paper proposes a novel spectrum prediction scheme based on Support Vector Machines (SVM), to save the time and energy consumed by spectrum sensing via predicting the channels’ state before detecting. Besides, spectrum utilization is further improved by using the cooperative mechanism, in which SUs could share spectrum channels’ history state information and prediction results with neighbor nodes. The simulation results show that the algorithm has high prediction accuracy under the condition of small training sample case, and can obviously reduce the detecting energy, which also leads to the improvement of spectrum utilization.     

基于车辆成组的V2V协同计算卸载策略研究

在车联网中引入V2V计算卸载技术可以缓解当前车载计算卸载热点地区路边单元(RSU)计算资源不足的问题.然而,在计算卸载过程中,服务车辆可能因故障离组或自主选择离开车组.如何返回任务结果并高效地分配计算任务是需要进一步研究的关键问题.提出了一个车组内计算任务分配算法,考虑了可能导致车辆离开车组的因素影响,以及组中每辆车能...