Balancing CapEx reduction and network stability with stable routing–virtual topology capacity adjustment (SR–VTCA)

This paper investigates the merits of the SR–VTCA (stable routing–virtual topology capacity adjustment) approach as a mechanism to find a beneficial trade-off between network stability and reduction in capital expenditures (CapEx). These are two main objectives for the entities that own the optical infrastructure, such as network operators (NOs), and those also acting as Internet service providers (ISPs). The SR–VTCA scheme is a novel approach to adapt transparent optical networks to time-varying traffic by adjusting the number of lightpaths between node pairs, while keeping the IP routing unchanged. Lightpath bundling (LB) and anycast (AS) switching are combined in SR–VTCA operation to advertise lightpath additions/removals to the IP layer as mere adjustments (increments or decrements) in the capacity, allowing to keep the IP routing stable, and thus, simplifying control plane operations. On the contrary, a fully-reconfigurable (FR) network design, where IP routing can be also modified, would increase the burden in the control plane, but at a higher CapEx reduction, since the optical infrastructure is used more efficiently. In this work, we investigate the CapEx overprovision introduced by SR–VTCA with respect to a FR scheme. In order to do this, SR–VTCA planning problem is first modeled as a MILP formulation. A heuristic procedure based on traffic domination is then proposed to solve large instances of the problem. Exhaustive experiments are conducted comparing the SR–VTCA solutions obtained by the aforementioned MILP and heuristic proposal with solutions found by other optimization methods presented in the literature to solve the FR planning problem. Finally, the results show that SR–VTCA can achieve similar results to the FR case in terms of CapEx reduction, while a huge number of IP reroutings are saved by maintaining IP stability. Thus, SR–VTCA provides an advantageous balance between CapEx overprovisioning and the control plane overhead associated with IP rerouting.     

太赫兹通信技术发展现状及其军事应用展望

太赫兹通信是当前FSO通信研究的热点,由于太赫兹波有非常宽的未分配的频带,具有传输速率高、方向性好、安全性高、辐射小以及穿透性好等特点,在军事应用领域的应用前景十分广阔。在分析国内外太赫兹关键技术和通信系统研究进展的基础上,指出了目前尚要研究解决的问题,针对未来信息作战的需求,对太赫兹通信技术在军事信息领域的应用作了分析和展望。     

一种基于博弈的联盟组网方法

针对缺乏有效联盟收益分配机制,导致发送端拒绝协作,同时发送信号,造成接收端信号重叠,该文提出一种基于博弈的安全联盟组网方法。首先,将协作博弈机制中的收益分摊机制引入安全联盟组网自适应形成方法,建立发送端联盟组网模型。然后,为实现联盟方式组网,基于博弈方法将联盟组网相比非联盟时增加的总安全速率作为可转移的收益函数,平均分配给组网内各个发送端;之后,发送端遍历所有可能形成的联盟组网,得到均摊收益最大的联盟组网方式;最后,发送端自适应形成该联盟组网,无需发送信号或相同需求下窃听信道条件最坏的发送端发信号,其余所有发送端通过发送人工噪声进行协作。仿真分析验证了该方法的公平性和有效性,当发送端功率等于20 mW时,高斯信道下的网络平均安全速率相比初始状态提高1.8 。     

自适应窃听下NOMA用户协作干扰的物理层安全研究

在存在一个半双工自适应窃听者的通信模型中,分析了采用非正交多址(Non-orthogonal Multiple Access,NOMA)技术合作系统的性能。提出了一种新型的合作NOMA方案,该方案在中继转发时,强用户可充当中继协助转发弱用户信号,而弱用户采用全双工技术向窃听者发送干扰信号,提高了通信链路的安全性和用户的服务质量。合法接收端采用连续干扰消除(SIC)技术,以解码来自叠加信号的各个消息。在已知窃听信道统计信道状态信息(CSI)的情况下,分别推导了2个用户的安全中断概率和中断概率的闭合表达式,并通过Monte-Carlo仿真验证。理论分析和数值模拟结果均表明所提出的NOMA用户合作方案在保密率方面优于非合作方案的性能。     

双芯掺铒光纤的研制及其增益均衡特性的研究

报道了双芯掺铒光纤(TC-EDF)的研制工艺,采用改进化学气相沉积(MCVD)和光子晶体堆积工艺成功试制出单芯掺杂型双芯掺铒光纤。利用耦合模理论和速率方程数值模拟了信号功率在双芯掺铒光纤中的传输并分析了双芯掺铒光纤的增益均衡特性;同时制作了双芯掺铒光纤放大器(EDFA)并进行实验测试。结果表明,双芯掺铒光纤具有良好的增益均衡特性。     

数字图象在广播电视综合信息网中的应用

首先介绍数字图象通信的意义、优点及压缩编码技术的进展，然后介绍某一广播电视综合信息网中数字图象通信的应用。     

七号信令在现代通信中的应用

七号信令是国际标准化公共信道信令，介绍了七号信令的网络结构和功能结构，及其在公用电话网(PSTN)／综合业务数据网(ISDN)、移动通信网和智能网中的应用。随着现代通信网的快速发展，七号信令有必要引入高速信令链路以解决网络拥塞问题，同时对第三代移动通信系统将影响到现有七号信令的网络结构与协议，七号信令也要与下一代IP网络的融合，以实现电信网与下一代网络体系的互通等问题进行了进一步探讨。     

混合遗传算法用于卫星自适应调零天线研究

将遗传算法与LMS算法结合构成一种混合遗传算法,并将其用于卫星自适应调零天线的波束空间调零处理。研究了参数设置对混合算法抗干扰能力的影响,并讨论了一种参数自适应的方法,这种方法降低了参数选择的难度,提高了参数选择的效率,并能够动态的调整参数设置达到较好的抗干扰效果。     

信息高速公路中多媒体技术的发展

本文概述了全球的信息高速公路以及多媒体技术的发展，着重描述了光通信网络多媒体技术及其应用和展望。     

Resource allocation in MIMO‐OFDM‐based cooperative cognitive radio networks: optimal and suboptimal low complexity approaches

The problem of resources allocation in multiple‐input multiple‐output‐orthogonal frequency division multiplexing based cooperative cognitive radio networks is considered, in this paper. The cooperation strategy between the secondary users is decode‐and‐forward (DF) strategy. In order to obtain an optimal subcarrier pairing, relay selection and power allocation in the system, the dual decomposition technique is recruited. The optimal resource allocation is realized under the individual power constraints in source and relays so that the sum rate is maximized while the interference induced to the primary system is kept below a pre‐specified interference temperature limit. Moreover, because of the high computational complexity of the optimal approach, a suboptimal algorithm is further proposed. The jointly allocation of the resources in suboptimal algorithm is carried out taking into account the channel qualities, the DF cooperation strategy, the interference induced to the primary system and the individual power budgets. The performance of the different approaches and the impact of the constraint values and deploying multiple antennas at users are discussed through the numerical simulation results. Copyright © 2014 John Wiley & Sons, Ltd.