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2017 International Conference on Computing, Networking and Communications (ICNC)最新文献

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Toward carrier-scale general-purpose node 面向电信级通用节点
Pub Date : 1900-01-01 DOI: 10.1109/ICCNC.2017.7876185
T. Korikawa, Akio Kawabata, A. Masuda
In this paper, we elucidate the main performance bottleneck in realizing packet processing which require carrier-scale huge tables to lookup (carrier-scale packet processing) on top of general-purpose servers. Our experimental quantitative analysis using DPDK-Click based packet processing model reveals that performance degradation of the carrier-scale packet processing is mainly caused by increased CPU cache misses with increasing number of input traffic flows. This indicates that the main performance bottleneck of carrier-scale packet processing using general-purpose hardware is the lack of memory response performance. As a solution to the bottleneck, we propose novel server architecture that utilizes Hybrid Memory Cube (HMC), a sort of 3D-stacked DRAM, to reinforce memory response performance in terms of concurrency. Our simulation based evaluation shows that our proposed server architecture can realize more than 40 Gbps carrier-scale packet processing without any dedicated hardware. Our work shows that augmented concurrency of memory response is as important as parallel processing at multi-core CPU to improve the system level performance of carrier-scale packet processing using general-purpose hardware.
在本文中,我们阐明了实现数据包处理的主要性能瓶颈,这些数据包处理需要在通用服务器上查找运营商规模的大表(运营商规模的数据包处理)。我们使用基于DPDK-Click的数据包处理模型进行了实验定量分析,结果表明,随着输入流量的增加,CPU缓存缺失的增加是导致运营商规模数据包处理性能下降的主要原因。这表明使用通用硬件的运营商规模数据包处理的主要性能瓶颈是缺乏内存响应性能。作为瓶颈的解决方案,我们提出了一种新的服务器架构,利用混合内存立方体(HMC),一种3d堆叠的DRAM,以增强并发性方面的内存响应性能。我们基于仿真的评估表明,我们提出的服务器架构可以在没有任何专用硬件的情况下实现超过40 Gbps的载波规模数据包处理。我们的工作表明,增强内存响应的并发性与多核CPU上的并行处理一样重要,可以提高使用通用硬件的载波级数据包处理的系统级性能。
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引用次数: 0
Exploitations of wireless interfaces via network scanning 利用无线接口通过网络扫描
Pub Date : 1900-01-01 DOI: 10.1109/ICCNC.2017.7876259
N. Domingo, Bryan Pearson, Yier Jin
In brainstorming for ways to exploit Internet of Things (IoT) security, we envisioned the following premise: an attack which compromises the security of multiple wireless interfaces. In this project, we attempt to reveal information about a region of networks; this data includes each network's location, security, signal strength, and user activity. In exposing such data, we hope to shed light on the security problems associated with wireless networks.
在对利用物联网(IoT)安全性的方法进行头脑风暴时,我们设想了以下前提:一种危及多个无线接口安全性的攻击。在这个项目中,我们试图揭示一个网络区域的信息;这些数据包括每个网络的位置、安全性、信号强度和用户活动。通过揭露这些数据,我们希望揭示与无线网络相关的安全问题。
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引用次数: 2
An interference-aware small cell on/off mechanism in hyper dense small cell networks 超密集小蜂窝网络中干扰感知小蜂窝开/关机制
Pub Date : 1900-01-01 DOI: 10.1109/ICCNC.2017.7876227
Li-Ping Tung, Li-Chun Wang, Kuan-Sheng Chen
Small cells have been proposed to improve the signal quality of cell edge users and enhance the serving coverage. But a large number of small cells will cause severe interference and high energy consumption. Hence, green communication is an important issue. The main contribution of this paper is to provide an interference-aware small cell on/off mechanism in a downlink heterogeneous network system to reduce inter-cell interference in the sense of energy saving. Two criteria for the small cell on/off mechanism are proposed; one is based on the generated interference (GI) and the other is based on the signal to generated interference ratio (SGIR). In addition, two selection rules are provided; one is the exhaustive search (ES) method and the other is the one time (OT) method. In hyper dense small cells deployment scenario, our interference-aware small cell on/off mechanism can efficiently reduce inter-cell interference to maximize the total network energy efficiency. Compare to the traditional UE-cell association approach, our method provide 47.38% improvement at λb/λu = 0.4 and 61.44% improvement at λb/λu = 0.6.
为了提高小区边缘用户的信号质量,提高服务覆盖率,提出了小小区。但是大量的小电池会造成严重的干扰和高能量消耗。因此,绿色传播是一个重要的问题。本文的主要贡献是在异构下行网络系统中提供一种干扰感知的小小区开/关机制,以减少小区间的干扰,达到节能的目的。提出了小单元开/关机制的两个准则;一种是基于产生的干扰(GI),另一种是基于信号与产生的干扰比(sir)。此外,还提供了两条选择规则;一种是穷举搜索法(ES),另一种是一次性搜索法(OT)。在超密集小小区部署场景下,我们的干扰感知小小区开/关机制可以有效地减少小区间干扰,使网络总能量效率最大化。与传统的UE-cell关联方法相比,该方法在λb/λu = 0.4时提高了47.38%,在λb/λu = 0.6时提高了61.44%。
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引用次数: 13
Radio environment map construction using Hidden Markov Model in multiple primary user environment 多主用户环境下基于隐马尔可夫模型的无线电环境地图构建
Pub Date : 1900-01-01 DOI: 10.1109/ICCNC.2017.7876138
Koji Ichikawa, T. Fujii
In this paper, we discuss a method to construct a radio environment map (REM) in an environment with multiple primary users (PUs). The REM provides statistical information about the PU activity at each location. It enables the secondary user to access the licensed band dynamically. We derive the measurement architecture based on the “crowd-sourcing” scheme to gather large-scale measurement data with inexpensive sensor nodes. The PU detection or identification scheme is key part of the REM construction then there are multiple PUs in the environment. However, it is difficult to identify multiple PUs in an individual user terminal. Therefore, the PU detection or identification problem is solved at the REM servers using the Hidden Markov Model (HMM), which is a time-series-based machine learning technique. The proposed HMM method classifies the measurement data depending on the combined state of each transmitter, which can be either active or idle. The results show that the proposed method exhibits better performance than the existing unsupervised clustering method.
本文讨论了一种在多主用户环境中构造无线电环境映射的方法。REM提供每个位置PU活动的统计信息。允许从用户动态访问license许可的频带。我们推导了基于“众包”方案的测量架构,以廉价的传感器节点收集大规模测量数据。当环境中存在多个PU时,PU检测或识别方案是REM构建的关键部分。但是,在单个用户终端中很难识别多个pu。因此,在REM服务器上使用隐马尔可夫模型(HMM)来解决PU检测或识别问题,隐马尔可夫模型是一种基于时间序列的机器学习技术。提出的HMM方法根据每个发射机的组合状态(活动或空闲)对测量数据进行分类。结果表明,该方法比现有的无监督聚类方法具有更好的性能。
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引用次数: 10
Joint RRH selection and beamforming in distributed antenna systems with energy harvesting 能量收集分布式天线系统的联合RRH选择与波束形成
Pub Date : 1900-01-01 DOI: 10.1109/ICCNC.2017.7876194
Yanjie Dong, Md. Jahangir Hossain, Julian Cheng, Victor C. M. Leung
To reduce the transmission power while maintaining quality of service requirements of users, more remote radio heads (RRHs) should be active, and this in turn increases the circuit power in the distributed antenna systems with simultaneous wireless information and power transferring. Yet, the above procedures may lead to an unbalanced power consumption between transmission and circuit; therefore causes extra burden on the operators' power budget. To obtain a balanced transmission power and circuit power, this paper studies the system utility minimization problem in such a system via joint RRH selection and beamforming. The utility is formulated as the weighted sum of transmission power and circuit power. Since the formulated problem is NP-hard, a low complexity iterative algorithm is developed to achieve a near-optimal solution. The complexity of each iteration step is analyzed. Computer simulation results show the convergence of the proposed algorithm and the tradeoff between the transmission power and the circuit power.
为了在保持用户服务质量要求的同时降低发射功率,需要激活更多的远程无线电头(RRHs),这反过来又增加了同时传输无线信息和功率的分布式天线系统的电路功率。然而,上述过程可能导致传输和电路之间的功率消耗不平衡;因此给运营商的电力预算带来了额外的负担。为了获得平衡的传输功率和电路功率,本文通过联合RRH选择和波束形成研究了该系统的系统效用最小化问题。本实用新型表示为传输功率与电路功率的加权和。由于公式化的问题是np困难的,因此开发了一种低复杂度的迭代算法来获得近最优解。分析了各迭代步骤的复杂度。计算机仿真结果表明了该算法的收敛性和传输功率与电路功率之间的折衷性。
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引用次数: 5
Relay selection of relay-assisted Device-to-Device and uplink communication underlying cellular networks 蜂窝网络底层中继辅助设备对设备和上行通信的中继选择
Pub Date : 1900-01-01 DOI: 10.1109/ICCNC.2017.7876267
Jen-Yi Pan, Ming-Hung Hsu
Recently, an enormous increasing number of mobile devices have changed people's life and brought huge demands for services. D2D (Device-to-Device) communication is a brand-new fashion that allows mobile stations communicating directly with each other using existing licensed band without traversing through core network, and thereby offload traffic from base stations (BS). On the other hand, relays are indispensable to the next generations of mobile communication networks. Relays can remove the coverage holes, increase system capacity, expand the coverage area of base stations and enhance transmission rate for the devices in cell edge, and thereby it also provides uniform data rate coverage in the cellular networks. This paper proposes a model that integrates the advantages of relay and D2D and proposes a method that can improve spectrum efficiency and decrease path loss or shadow fading which makes worse communication in the system. This paper also proposes a way how to choose a better relay and it can increase the system throughput. Simulation results of uplink and D2D communication show that the proposed method can increase the system throughput.
近年来,越来越多的移动设备改变了人们的生活,带来了巨大的服务需求。D2D (Device-to-Device)通信是一种全新的通信方式,它允许移动站使用现有的许可频段直接相互通信,而无需穿越核心网络,从而从基站(BS)卸载流量。另一方面,对于下一代移动通信网络来说,中继是必不可少的。中继可以消除覆盖漏洞,增加系统容量,扩大基站的覆盖范围,提高蜂窝边缘设备的传输速率,从而在蜂窝网络中提供统一的数据速率覆盖。本文提出了一种综合了中继和D2D优点的模型,并提出了一种提高频谱效率,减少导致系统通信恶化的路径损耗或阴影衰落的方法。本文还提出了如何选择较好的中继以提高系统吞吐量的方法。上行和D2D通信的仿真结果表明,该方法可以提高系统吞吐量。
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引用次数: 6
Personalizable neurological user authentication framework 个性化的神经系统用户认证框架
Pub Date : 1900-01-01 DOI: 10.1109/ICCNC.2017.7876258
Dennis Frank, J. Mabrey, K. Yoshigoe
Brain Computer Interfaces (BCIs) stand as a promising new technology to enrich interaction with objects in both the physical and virtual world. As BCI technology continues to mature for possibly becoming a essential part of the future communication and interaction with people and objects, more attention is needed for effectively and accurately authenticating the very user of the input device. We attempt to analyze and improve current and new methods of user authentication that can be provided through consumer-grade BCIs. We first propose a new neurological framework for an authentication system integrated with BCIs. We then evaluate the effectiveness of the framework in conjunction with the fidelity and usability of electroencephalogram (EEG) data obtained from a consumer-grade BCI to analyze different types of sensory pass-thoughts and their effectiveness among individuals. Preliminary results show that the proposed framework is promising to improve the accuracy of neurological user authentication.
脑机接口(bci)是一种很有前途的新技术,可以丰富与物理和虚拟世界中对象的交互。随着BCI技术的不断成熟,可能成为未来与人与物的交流和交互的重要组成部分,需要更多地关注有效和准确地验证输入设备的用户。我们试图分析和改进现有的和新的用户身份验证方法,这些方法可以通过消费级bci提供。我们首先提出了一个新的神经学框架,用于集成脑机接口的认证系统。然后,我们结合从消费者级脑机接口获得的脑电图(EEG)数据的保真度和可用性来评估该框架的有效性,以分析不同类型的感觉传递思想及其在个体中的有效性。初步结果表明,该框架有望提高神经系统用户认证的准确性。
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引用次数: 6
A high performance media server and QoS routing for SVC streaming based on Software-Defined Networking 基于软件定义网络的SVC流的高性能媒体服务器和QoS路由
Pub Date : 1900-01-01 DOI: 10.1109/ICCNC.2017.7876189
Wei-En Liang, Chung-An Shen
Media streaming is the most rapid-growth network service and occupies most of traffics on Internet. This paper presents approaches for enhancing the network performance for media streaming in two aspects. Firstly, in order to improve the network performance of a media server executing on a Virtual Machine (VM), a network framework using Software-Defined Networking (SDN) is introduced. This framework integrates the Kernel-based VM with OpenFlow switch to address the issue of virtualization overhead. The experimental results show that this scheme improves network performance by 68% compared to the conventional structure. Furthermore, for maintaining the quality of Scalable Video Coding (SVC) media streaming during the transmission, a novel routing algorithm based on SDN is illustrated. This algorithm jointly considers bandwidth, delay, and packet loss and automatically deploys routes for different layers in SVC streaming. Comparing to conventional methods, this algorithm reduces the packet loss rate by more than 10% and improves the quality of the received Video sequence.
流媒体业务是Internet上发展最快的一种网络业务,它占据了Internet上最大的流量。本文从两个方面提出了提高流媒体网络性能的方法。首先,为了提高在虚拟机上运行的媒体服务器的网络性能,引入了一种基于软件定义网络(SDN)的网络框架。该框架将基于内核的VM与OpenFlow交换机集成在一起,以解决虚拟化开销问题。实验结果表明,该方案与传统结构相比,网络性能提高了68%。此外,为了在传输过程中保持可扩展视频编码(SVC)流媒体的质量,提出了一种基于SDN的路由算法。该算法综合考虑了SVC流的带宽、时延和丢包等因素,自动实现了SVC流的分层路由部署。与传统方法相比,该算法将丢包率降低了10%以上,提高了接收视频序列的质量。
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引用次数: 10
A generalized optimization framework for control plane in tactical wireless networking 战术无线网络控制平面的广义优化框架
Pub Date : 1900-01-01 DOI: 10.1109/ICCNC.2017.7876268
B. Jalaeian, Venkateswara Dasari, M. Motani
Tactical networks are generally simple ad-hoc networks in design, however, this simple design often gets complicated, when heterogeneous wireless technologies have to work together to enable seamless multi-hop communications across multiple sessions. In recent years, there has been some significant advances in computational, radio, localization, and networking te, and session's rate i.e., aggregate capacity averaged over a 4-time-slot frame)chnologies, which motivate a clean slate design of the control plane for multi-hop tactical wireless networks. In this paper, we develop a global network optimization framework, which characterizes the control plane for multi-hop wireless tactical networks. This framework abstracts the underlying complexity of tactical wireless networks and orchestrates the the control plane functions. Specifically, we develop a cross-layer optimization framework, which characterizes the interaction between the physical, link, and network layers. By applying the framework to a throughput maximization problem, we show how the proposed framework can be utilized to solve a broad range of wireless multi-hop tactical networking problems.
战术网络在设计上通常是简单的ad-hoc网络,然而,当异构无线技术必须协同工作以实现跨多个会话的无缝多跳通信时,这种简单的设计往往变得复杂。近年来,在计算、无线电、定位、网络和会话速率(即在4个时隙帧上平均的总容量)技术方面取得了一些重大进展,这激发了多跳战术无线网络控制平面的全新设计。在本文中,我们开发了一个全局网络优化框架,以表征多跳无线战术网络的控制平面。该框架抽象了战术无线网络的潜在复杂性,并协调了控制平面的功能。具体来说,我们开发了一个跨层优化框架,它表征了物理层、链路层和网络层之间的相互作用。通过将该框架应用于吞吐量最大化问题,我们展示了如何利用所提出的框架来解决广泛的无线多跳战术网络问题。
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引用次数: 3
An AMP based decoder for massive MU-MIMO-OFDM with low-resolution ADCs 一种基于AMP的解码器,用于带低分辨率adc的大规模MU-MIMO-OFDM
Pub Date : 1900-01-01 DOI: 10.1109/ICCNC.2017.7876170
Chen Cao, Hongxiang Li, Zixia Hu
In massive MIMO systems, multiple high-speed high-resolution ADCs will be a major obstacle for real applications because of the hardware complexity and power consumption. One solution to this problem is to adopt low-cost low-resolution ADCs instead. Note that highly quantized signals will destroy the orthogonality of OFDM design, the key point remains to find computational decoding methods while maintaining acceptable performances. To address this issue, we develop a low complexity algorithm designed for low-resolution ADCs RF-frontend using iterative decoding based on Approximate-Message-Passing (AMP). The proposed algorithms can provide adequate performance in low-resolution ADC systems compared to approximate LMMSE solution.
在大规模MIMO系统中,由于硬件复杂性和功耗,多个高速高分辨率adc将成为实际应用的主要障碍。解决这个问题的一种方法是采用低成本的低分辨率adc。注意,高度量化的信号会破坏OFDM设计的正交性,关键仍然是在保持可接受的性能的同时找到计算解码方法。为了解决这个问题,我们开发了一种基于近似消息传递(AMP)的迭代解码的低复杂度算法,用于低分辨率adc rf前端。与近似LMMSE解决方案相比,所提出的算法可以在低分辨率ADC系统中提供足够的性能。
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引用次数: 11
期刊
2017 International Conference on Computing, Networking and Communications (ICNC)
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