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2015 IEEE International Conference on Communication Workshop (ICCW)最新文献

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A packet-level model for MIMO spatial multiplexing channels in indoor environments 室内环境下MIMO空间复用信道的分组级模型
Pub Date : 2015-06-08 DOI: 10.1109/ICCW.2015.7247238
Ruonan Zhang, Jianping Zhao, Zhimeng Zhong, Heng Qin
Directional transmission and reception using multiple-input multiple-output (MIMO) technologies allows spatial multiplexing in a wireless network. However, multipath propagations in radio channels usually result in the angular spread of signal power, which causes interference among the sectors. Moreover, the random movement of the nodes leads to the variation of the interference. An accurate and mathematically tractable packet-level channel model is a key issue to evaluate the capacity and performance of the spatial multiplexing networks. In this paper, we have considered an indoor mobile ad hoc network where the sink node is equipped with an antenna array for beamforming. First, based on the angular power spectral density (APSD) of the indoor channels obtained by our field measurements, the interference among two nodes is evaluated. Second, by assuming two-dimensional random walk of the network nodes, a finite state Markov chain (FSMC) model is proposed to present the random variation of the signal-to-interference ratio (SIR) of the directional links from the nodes to the sink. The closed-form expressions of the state transition probabilities and steady state distributions are derived. Simulation results are also presented to demonstrate the channel evolution process. The proposed packet-level channel model can be conveniently incorporated into analytical frameworks and fast simulations of upper-layer network protocols.
使用多输入多输出(MIMO)技术的定向传输和接收允许无线网络中的空间多路复用。然而,无线电信道中的多径传播通常会导致信号功率的角扩散,从而导致扇区之间的干扰。此外,节点的随机运动导致了干扰的变化。一个精确的、数学上易于处理的分组级信道模型是评估空间复用网络容量和性能的关键问题。在本文中,我们考虑了一种室内移动自组织网络,其中汇聚节点配备了用于波束形成的天线阵列。首先,基于现场测量得到的室内信道的角功率谱密度(APSD),评估了两个节点之间的干扰;其次,通过假设网络节点的二维随机行走,提出了一个有限状态马尔可夫链(FSMC)模型来表示节点到汇聚点的定向链路的信干扰比(SIR)的随机变化。导出了状态转移概率和稳态分布的封闭表达式。仿真结果显示了信道的演化过程。所提出的包级信道模型可以方便地集成到上层网络协议的分析框架和快速仿真中。
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引用次数: 0
A hybrid prediction model for video quality by QoS/QoE mapping in wireless streaming 基于QoS/QoE映射的无线流媒体视频质量混合预测模型
Pub Date : 2015-06-08 DOI: 10.1109/ICCW.2015.7247429
Emad Danish, W. Fernando, M. Alreshoodi, J. Woods
In the video streaming arena, and especially within the wireless transmission domain, measuring users' quality of experience (QoE) has become a pressing issue for it offers several benefits to both the service provider and the end user. However, available measurement techniques that adopt a full reference model (FR) are impractical in real-time transmission scenarios since they require the original video sequence available at the receiver's end. Hence, no-reference (NR) models fill this gap by providing less accurate measurement but sufficiently reliable for real-time video streaming. In this paper, we propose and evaluate a hybrid no-reference prediction model for the perceptual quality of video in the wireless domain. The model is based on fuzzy inference systems (FIS), and exploits several key parameters from both the application layer and physical layer. Hence the model is realized by means of mapping quality of service to quality of experience (QoS/QoE). The model is evaluated in contrast to random neural networks (RNN), and simulation results show considerable prediction accuracy of the model with a correlation coefficient of 92.17% and 0.1098 root mean square error.
在视频流领域,特别是在无线传输领域,测量用户体验质量(QoE)已经成为一个紧迫的问题,因为它为服务提供商和最终用户提供了许多好处。然而,采用全参考模型(FR)的现有测量技术在实时传输场景中是不切实际的,因为它们需要接收端可用的原始视频序列。因此,无参考(NR)模型填补了这一空白,提供了不太精确的测量,但对实时视频流来说足够可靠。在本文中,我们提出并评估了一种用于无线领域视频感知质量的混合无参考预测模型。该模型基于模糊推理系统(FIS),并利用了应用层和物理层的几个关键参数。因此,该模型是通过将服务质量映射到体验质量(QoS/QoE)来实现的。将该模型与随机神经网络(RNN)进行对比,仿真结果表明该模型具有较高的预测精度,相关系数为92.17%,均方根误差为0.1098。
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引用次数: 11
Device-to-device content distribution: Optimal caching strategies and performance bounds 设备到设备的内容分布:最佳缓存策略和性能界限
Pub Date : 2015-06-08 DOI: 10.1109/ICCW.2015.7247257
Derya Malak, M. Al-Shalash
Content distribution using direct device-to-device (D2D) communication is a promising approach for optimizing the utilization of air-interface resources in 5G network. To achieve the best utilization of network resources, the network should bias the distribution of cached content. The optimal caching distribution depends on the content demand distribution. In this paper, we model the locations of transmitting and receiving devices by a homogeneous Poisson Point Process (PPP), and use results from stochastic geometry to derive the probability of successful content delivery in the presence of D2D interference and noise. We formulate an optimization problem to maximize the total probability of content delivery, assuming user demands are modeled by a Zipf distribution. We also develop strategies to optimize content caching, and bound the total coverage probability for multiple file caching scenarios.
使用直接设备对设备(D2D)通信的内容分发是优化5G网络空中接口资源利用的一种有前途的方法。为了实现对网络资源的最佳利用,网络应该优先分配缓存内容。最佳缓存分布取决于内容需求分布。在本文中,我们通过齐次泊松点过程(PPP)对发射和接收设备的位置进行建模,并使用随机几何的结果来推导在存在D2D干扰和噪声的情况下成功传送内容的概率。我们制定了一个优化问题,以最大化内容交付的总概率,假设用户需求是由Zipf分布建模的。我们还开发了优化内容缓存的策略,并为多个文件缓存场景绑定了总覆盖概率。
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引用次数: 9
Performance evaluation of space modulation techniques in VLC systems VLC系统中空间调制技术的性能评价
Pub Date : 2015-06-08 DOI: 10.1109/ICCW.2015.7247367
Athanasios Stavridis, H. Haas
In this paper, the Bit Error Rate (BER) performance of three major space modulation techniques in a Multiple-Input Multiple-Output (MIMO) Visible Light Communication (VLC) system is studied. The considered space modulation techniques are Optical Spatial Modulation (OSM); Optical Generalized Spatial Modulation (OGeSM); and Optical Multi-Stream Spatial Modulation (OMS-SM). The space modulation techniques are evaluated against two benchmark systems: Optical Spatial MultipleXing (OSMX) and Optical Repetition Coding (ORC). The performance assessment, for both the space modulation schemes and the benchmark systems, is undertaken using simulation and analytical results. For the considered system setup, it is concluded that, in relative low Signal-to-Noise Ratio (SNR), OSM offers the best performance. Whereas, in relative high SNR and for high spectral efficiency, OMS-SM is the most efficient scheme in terms of BER.
研究了多输入多输出(MIMO)可见光通信(VLC)系统中三种主要空间调制技术的误码率(BER)性能。考虑的空间调制技术是光空间调制(OSM);光学广义空间调制;光多流空间调制(OMS-SM)。本文针对光空间复用(OSMX)和光重复编码(ORC)两种基准系统对空间调制技术进行了评估。利用仿真和分析结果,对空间调制方案和基准系统进行了性能评估。对于所考虑的系统设置,得出的结论是,在相对较低的信噪比(SNR)下,OSM提供了最佳性能。然而,在相对高信噪比和高频谱效率的情况下,OMS-SM在误码率方面是最有效的方案。
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引用次数: 27
Efficient and secure data forwarding for erasure-code-based cloud storage 基于擦除码的云存储高效、安全的数据转发
Pub Date : 2015-06-08 DOI: 10.1109/ICCW.2015.7247445
Jian Liu, Kun Huang, Hong Rong, Huimei Wang, Ming Xian
Cloud computing is a promising computing paradigm which has drawn extensive attention from both academia and industry. Since that the cloud is very likely to be outside of the trust domain of the users, serious concerns over the confidentiality of the outsourced data are arising. Traditional encryption methods guarantee data confidentiality, but also limit the functionality of the cloud storage as few operations are supported over encrypted data. The main technique contribution of this paper is that we present an efficient data forwarding scheme for the erasure-coded and encrypted cloud, which enforces the cloud not only provide data reliability and confidentiality, but also support the functionality that the encrypted data can be forwarded to another user without being retrieved back. Specifically, we design an all-or-nothing transform based encryption and a variant of ElGamal-based proxy re-encryption algorithms, blending them with the Reed-Solomon erasure code, our scheme is quite more efficient compared with previous studies and only needs to update partial data blocks instead of the whole file for data forwarding. In addition, our scheme also satisfies another practical property that the original data owner can no longer decrypt or forward the re-encrypted data again to other users after a complete data forwarding, which is termed to be “original inaccessibility” in our study. Analysis shows that our scheme is secure and satisfactory. Finally we theoretically and experimentally evaluate the performance of our scheme and the results indicate that our scheme is efficient in the procedure of file dispersal, forward and retrieval.
云计算是一种很有前途的计算范式,已经引起了学术界和工业界的广泛关注。由于云很可能在用户的信任域之外,因此对外包数据的保密性产生了严重的担忧。传统的加密方法保证了数据的机密性,但也限制了云存储的功能,因为在加密数据上支持的操作很少。本文的主要技术贡献在于,我们提出了一种有效的数据转发方案,用于擦除编码和加密云,该方案使云不仅提供数据的可靠性和机密性,而且还支持加密数据可以转发给另一个用户而不被检索回来的功能。具体来说,我们设计了一种基于全有或全无变换的加密算法和一种基于elgamal的代理重加密算法的变体,并将它们与Reed-Solomon擦除码混合在一起,我们的方案比以前的研究更高效,只需要更新部分数据块而不是整个文件进行数据转发。此外,我们的方案还满足了另一个实用属性,即在数据转发完成后,原始数据所有者无法再对重新加密的数据进行解密或再次转发给其他用户,在我们的研究中称为“原始不可访问性”。分析表明,该方案是安全的、令人满意的。最后对该方案进行了理论和实验评价,结果表明该方案在文件分散、转发和检索过程中是有效的。
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引用次数: 2
Uplink sum-throughput evaluation of sectorized multi-cell massive MIMO system 分段多小区大规模MIMO系统的上行和吞吐量评估
Pub Date : 2015-06-08 DOI: 10.1109/ICCW.2015.7247331
Jiahui Li, Qiang He, Limin Xiao, Xibin Xu, Shidong Zhou
In this paper, a sectorized multi-cell massive multiple-input multiple-output (MIMO) system is considered with a spatially correlated channel model. Since sum-throughput per cell is an important index for evaluating a multi-cell system, we derive the ergodic achievable uplink sum-throughput per cell of the sectorized system and give the deterministic approximation of it based on the large random matrix theory. Numerical results indicate that sum-throughput per cell can be greatly increased compared to the conventional multi-cell massive MIMO system, which validates the effectiveness of the sectorized system. Moreover, it can be seen that the deterministic approximation is consistent with the result of Monte-Carlo simulation.
本文采用空间相关信道模型,研究了一种扇形多单元大规模多输入多输出(MIMO)系统。由于每个单元的总吞吐量是评价一个多单元系统的重要指标,我们推导了分区系统的遍历可达上行总吞吐量,并基于大随机矩阵理论给出了它的确定性逼近。数值计算结果表明,与传统的多小区大规模MIMO系统相比,该系统的单小区总吞吐量大大提高,验证了该系统的有效性。此外,可以看出,确定性近似与蒙特卡罗模拟的结果是一致的。
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引用次数: 2
Hardware implementation of Distributed Learning Algorithm for mapping selection for Wireless Physical Layer Network Coding 无线物理层网络编码中映射选择分布式学习算法的硬件实现
Pub Date : 2015-06-08 DOI: 10.1109/ICCW.2015.7247496
T. Hynek, David Halls, J. Sýkora
A wireless relay node employing Wireless Physical Layer Network Coding (WPLNC) must use a specific mapping in order to combine incoming signals. This mapping, however, cannot be selected arbitrarily. Together with the signals from the other network relays, it has to allow the destinations to be able to recover the source data from the available observations. Moreover the mapping should optimize a local relay utility function. This task can be easily solved in centralized networks. In decentralized ones, such as sensor or smart metering networks, a mapping assignment should be derived from mutual node communication, cooperation and/or signaling. In this paper we focus on the practical hardware implementation of such a distributed algorithm called a Distributed Learning Algorithm (DLA). In a two source, two relay and two destination network scenario we have implemented a non-cooperative game-based process that selects the WPLNC mapping of each individual relay node guaranteeing invertibility of WPLNC at the destinations as well as optimizing the relay's utility function, namely the output modulation cardinality. The implementation testbed is based on Software Defined Radio (SDR) modules and it is used to verify the algorithm properties in real-world conditions.
采用无线物理层网络编码(WPLNC)的无线中继节点必须使用特定的映射来组合输入信号。但是,不能随意选择此映射。与来自其他网络中继的信号一起,它必须允许目的地能够从可用的观测中恢复源数据。此外,映射应该优化本地中继实用功能。这个任务在中心化网络中很容易解决。在分散的网络中,例如传感器或智能计量网络,应该从相互节点通信、合作和/或信令中获得映射分配。在本文中,我们着重于这种分布式算法的实际硬件实现,称为分布式学习算法(DLA)。在两个源、两个中继和两个目的地网络场景中,我们实现了一个基于非合作博弈的过程,该过程选择每个中继节点的WPLNC映射,保证WPLNC在目的地的可逆性,并优化中继的效用函数,即输出调制基数。该实现平台基于软件定义无线电(SDR)模块,用于验证算法在实际条件下的性能。
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引用次数: 10
Towards flexible network deployment in 5G: Nomadic node enhancement to heterogeneous networks 面向5G的灵活网络部署:游牧节点向异构网络的增强
Pub Date : 2015-06-08 DOI: 10.1109/ICCW.2015.7247565
Ö. Bulakci, Zhe Ren, Chan Zhou, J. Eichinger, P. Fertl, D. G. Serrano, S. Stańczak
Mobile networks are experiencing the avalanche of data traffic, which is coupled with the billions of wirelessly connected data-intensive devices using diverse multimedia services and applications. Prospective studies suggest that traffic volume would increase a thousand-fold over the next decade. Furthermore, the users expect the utmost in quality with seamless connectivity to the broadband access. On this basis, moving networks emerge as a promising enhancement for fifth generation (5G) systems to enable flexible network deployment that goes beyond the scope of conventional fixed access nodes. Within the framework of moving networks, nomadic nodes (NNs) can enable demand-driven service provisioning to increase the network capacity or to extend the cell coverage area, and to reduce network energy consumption. NNs can be mounted on vehicles within a car-sharing fleet. In this paper, we look at the envisioned dynamic and flexible network deployment through NNs, and demonstrate analyses on the operation of nomadic networks.
移动网络正在经历数据流量的雪崩,这与数十亿使用各种多媒体服务和应用程序的无线连接数据密集型设备相结合。前瞻性研究表明,未来十年交通流量将增加一千倍。此外,用户期望通过宽带接入的无缝连接获得最高的质量。在此基础上,移动网络成为第五代(5G)系统的一个有希望的增强功能,可以实现超越传统固定接入节点范围的灵活网络部署。在移动网络的框架内,游牧节点(NNs)可以实现需求驱动的业务提供,以增加网络容量或扩展小区覆盖区域,并降低网络能耗。神经网络可以安装在汽车共享车队的车辆上。在本文中,我们通过神经网络展望了动态和灵活的网络部署,并演示了对游牧网络运行的分析。
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引用次数: 17
Extending LTE to unlicensed band - Merit and coexistence 将LTE扩展到非授权频段-优点和共存
Pub Date : 2015-06-08 DOI: 10.1109/ICCW.2015.7247531
A. Sadek, T. Kadous, Kai Tang, Heechoon Lee, M. Fan
Innovations enabling efficient spectrum utilization is a key element to optimize user experience with growing data demand. This paper discusses the approach of extending enhancements in cellular technology like LTE to unlicensed band for higher spectral efficiency and better user experience. A key challenge for such extension is the coexistence with legacy technology such as Wi-Fi. The description herein highlights techniques for effective coexistence. The results include evaluation and lab data that demonstrate how the technology provide benefit to surrounding Wi-Fi deployment and contribute towards enhancing spectral efficiency of the unlicensed band.
在不断增长的数据需求下,实现高效频谱利用的创新是优化用户体验的关键因素。本文讨论了将蜂窝技术(如LTE)的增强功能扩展到非授权频段的方法,以获得更高的频谱效率和更好的用户体验。这种扩展的一个关键挑战是与Wi-Fi等传统技术共存。本文的描述重点介绍了有效共存的技术。结果包括评估和实验室数据,这些数据展示了该技术如何为周围的Wi-Fi部署带来好处,并有助于提高未授权频段的频谱效率。
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引用次数: 51
Simplicial homology based energy saving algorithms for wireless networks 基于简单同调的无线网络节能算法
Pub Date : 2015-06-08 DOI: 10.1109/ICCW.2015.7247173
N. Le, P. Martins, L. Decreusefond, A. Vergne
Energy saving is one of the most investigated problems in wireless networks. In this paper, we introduce two homology based algorithms: a simulated annealing one and a robust one. These algorithms optimize the energy consumption at network level while maintaining the maximal coverage. By using simplicial homology, the complex geometrical calculation of the coverage is reduced to simple matrix computation. The simulated annealing algorithm gives a solution that approaches the global optimal one. The robust algorithm gives a local optimal solution. Our simulations show that this local optimal solution also approaches the global optimal one. Our algorithms can save at most 65% of system's maximal consumption power in polynomial time. The probability density function of the optimized radii of cells is also analyzed and discussed.
无线网络的节能问题一直是人们研究的热点问题之一。本文介绍了两种基于同调的算法:模拟退火算法和鲁棒算法。这些算法在保持最大覆盖范围的同时,优化了网络级的能耗。利用简单同调,将复盖面积的复杂几何计算简化为简单的矩阵计算。模拟退火算法给出的解接近全局最优解。鲁棒算法给出了一个局部最优解。仿真结果表明,该局部最优解也接近全局最优解。我们的算法在多项式时间内最多可以节省系统最大消耗功率的65%。并对优化单元半径的概率密度函数进行了分析和讨论。
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引用次数: 15
期刊
2015 IEEE International Conference on Communication Workshop (ICCW)
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