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2019 15th International Wireless Communications & Mobile Computing Conference (IWCMC)最新文献

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Secure half-duplex dual-hop AF relaying networks with partial relay selection 具有部分中继选择的安全半双工双跳自动对焦中继网络
Walid Mallat, W. H. Alouane, H. Boujemaa, F. Touati
In this paper, we focus on the half-duplex (HD) relaying with partial relay selection (PRS) scheme using destination-assisted jamming (DAJ). We consider one source (S), one destination (D), one passive eavesdropper and multiple amplify-and-forward (AF) relays. The relay node is selected based on the best instantaneous signal-to-noise ratio (SNR) of the first hop. Closed-form expressions for lower-bound of ergodic secrecy capacity (ESC) and secrecy outage probability (SOP) are derived over independent and identically distributed (i.i.d.) Rayleigh fading environment. Moreover, we present a comparison between the proposed system and the secure AF relaying system with reactive relay selection (RRS). In the RRS, the relay is chosen based on the best SNR of the second hop. Simulation results are presented to verify the exactness of our proposed mathematical analysis.
本文研究了利用目标辅助干扰(DAJ)实现部分中继选择(PRS)方案的半双工(HD)中继。我们考虑一个源(S),一个目标(D),一个无源窃听器和多个放大和转发(AF)继电器。根据第一跳的最佳瞬时信噪比(SNR)选择中继节点。导出了独立同分布(i.i.d)上遍历保密能力(ESC)下界和保密中断概率(SOP)下界的封闭表达式。瑞利衰落环境。此外,我们还将所提出的系统与具有无功继电器选择(RRS)的安全自动对焦继电器系统进行了比较。在RRS中,中继是根据第二跳的最佳信噪比来选择的。仿真结果验证了所提数学分析的准确性。
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引用次数: 0
Task Offloading for Vehicular Fog Computing under Information Uncertainty: A Matching-Learning Approach 信息不确定性下车辆雾计算任务卸载:一种匹配学习方法
Haijun Liao, Zhenyu Zhou, Xiongwen Zhao, B. Ai, S. Mumtaz
Vehicular fog computing (VFC) has emerged as a cost-efficient solution for task processing in vehicular networks. However, how to realize stable and reliable task offloading under information uncertainty remains a critical challenge. In this paper, we propose a matching-learning-based task offloading algorithm to address this challenge. First, a low-complexity and stable task offloading mechanism is proposed to minimize the total network delay based on the pricing-based matching. Second, we extend the work to the scenario of information uncertainty, and develop a matching-learning-based task offloading algorithm by combining matching theory and upper confidence bound (UCB) algorithm. Simulation results demonstrate that the proposed algorithm can achieve bounded deviation from the optimal performance without the global information.
车载雾计算(VFC)作为一种经济高效的车载网络任务处理解决方案应运而生。然而,如何在信息不确定的情况下实现稳定可靠的任务卸载仍然是一个严峻的挑战。在本文中,我们提出了一种基于匹配学习的任务卸载算法来解决这个问题。首先,提出了一种基于定价匹配的低复杂度、稳定的任务卸载机制,使网络总时延最小化;其次,将工作扩展到信息不确定场景,将匹配理论与上置信度界(UCB)算法相结合,提出了一种基于匹配学习的任务卸载算法。仿真结果表明,在没有全局信息的情况下,该算法可以实现与最优性能的有界偏差。
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引用次数: 17
Compressed Sensing Based Traffic Prediction For 5G HetNet IoT Video Streaming 基于压缩感知的5G物联网视频流流量预测
Shuangli Wu, Wei Mao, Tao Hong, Cong Liu, M. Kadoch
Nowadays, IoT video applications are in a sharp rise, various real-time video streaming of video surveillance systems transmitted via Internet are widely investigated. The real-time video surveillance can actively monitor and detect the abnormal events in time. In 5G HetNets, we specifically develop a compressed sensing based linear predictor to predict the traffic load at the next moment. The results justify that our proposed method can forecast the traffic load and improve system performance.
如今,物联网视频应用急剧兴起,通过互联网传输的视频监控系统的各种实时视频流被广泛研究。实时视频监控能够主动监控并及时发现异常事件。在5G HetNets中,我们专门开发了一种基于压缩感知的线性预测器来预测下一刻的流量负载。结果表明,该方法可以有效地预测流量负荷,提高系统性能。
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引用次数: 9
Single Carrier Transmission for URLLC with Adaptive Radio Resource Utilization 基于自适应无线电资源利用的URLLC单载波传输
Armed Tusha, Seda Doğan, H. Arslan
Next generation of wireless communication systems is expected to support a wide set of applications and use cases. Among these, applications with ultra-reliable and low-latency communications (URLLC) are at utmost importance due to stringent requirements. In this work, single carrier (SC) transmission is considered as a promising solution to meet demands of systems with URLLC. Firstly, SC system parameters affecting reliability and latency are comprehensively explained. Additionally, these parameters are optimized in time and frequency domain to achieve URLLC. Later, adaptive roll-off factor usage within a SC block is proposed to provide more efficient resource utilization. Trade-offs between reliability, latency and system efficiency are shown via computer based simulations. SC transmission inherently offers flexible structure to optimize the trade-offs through proper parameter selection.
下一代无线通信系统有望支持广泛的应用和用例。其中,由于要求严格,具有超可靠和低延迟通信(URLLC)的应用程序至关重要。在本研究中,单载波传输被认为是满足URLLC系统需求的一种很有前途的解决方案。首先,对SC系统参数对可靠性和时延的影响进行了全面阐述。并对这些参数进行了时域和频域优化,实现了URLLC。随后,提出了SC块内自适应滚转因子的使用,以提供更有效的资源利用。在可靠性、延迟和系统效率之间的权衡通过基于计算机的模拟显示。SC传动本身就提供了灵活的结构,通过适当的参数选择来优化权衡。
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引用次数: 3
A Frequency-Reconfigurable Printed Antenna with Switchable Capacitively Loaded Loops 具有可切换电容负载回路的频率可重构印刷天线
M. Smari, S. Dakhli, F. Choubani
A frequency-reconfigurable coplanar-waveguide (CPW) fed monopole antenna using switchable capacitively loaded loops (CLLs) is reported. Two open circuits used as switches are employed in the CLLs elements to make the antenna frequency-reconfigurable in four operating modes: a single-band mode (2.2–2.7GHz), two dual-band mode : (0.8 to 1.1GHz/2.2-3GHz), then (1.5–2.2GHz/ 2.8–3.2GHz) and a triple-band mode (0.8–1GHz/ 1.6 to 2.2 GHz /2.6–3.1GHz). The monopole antenna is resonating at 2.45 GHz, while the CLL elements produce other operating frequency bands covering a number of wireless communication systems, including GSM, DCS, UMTS, WLAN, WiMAX and S-band. The simulated results of return loss, surface currents distribution and radiation patterns are presented and discussed.
报道了一种频率可重构的共面波导单极天线,该天线采用可切换电容负载环路。cll元件采用两个开路作为开关,使天线在四种工作模式下进行频率可重构:单频段模式(2.2 - 2.7GHz),两个双频模式:(0.8 - 1.1GHz/2.2- 3ghz),然后(1.5-2.2GHz / 2.8-3.2GHz)和三频段模式(0.8 - 1ghz / 1.6 - 2.2GHz/ 2.6-3.1GHz)。单极天线在2.45 GHz谐振,而CLL元件产生的其他工作频段覆盖了许多无线通信系统,包括GSM, DCS, UMTS, WLAN, WiMAX和s波段。给出并讨论了回波损耗、表面电流分布和辐射方向的模拟结果。
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引用次数: 3
Analysis of Co-channel Interference in Low-orbit Satellite Internet of Things 低轨卫星物联网中同信道干扰分析
Dajian Xu, Gengxin Zhang, Xiaojin Ding
In recent years, the Internet of Things (IoT) technology has shown a good momentum of development and has been widely used in various fields of society. Satellite IoT, as an important complement and extension of the ground IoT, provides services in areas where oceanic and desert areas cannot build terrestrial IoT base stations. However, due to limited spectrum resources, spectrum sharing between terrestrial IoT and satellite IoT is likely to be required, which will inevitably lead to uplink and downlink co-channel interference between systems. This paper analyzes various interference scenarios that may occur on the uplink and downlink of terrestrial IoT and satellite IoT. Then, we establishes a global dynamic model of interference volume, and obtains the dynamic distribution of global interference of low-orbit satellite IoT through simulation. Finally, the paper uses the low-orbit satellite IoT global interference scenarios, interference distribution model and interference analysis model to obtain the dynamic analysis of the global uplink and downlink interference of the low-orbit satellite IoT, and uses the interference analysis results to give suggestions for the deployment of Low-orbit Satellite IoT.
近年来,物联网(IoT)技术呈现出良好的发展势头,已广泛应用于社会各个领域。卫星物联网作为地面物联网的重要补充和延伸,在海洋和沙漠地区无法建设地面物联网基站的地区提供服务。然而,由于频谱资源有限,地面物联网和卫星物联网之间可能需要频谱共享,这将不可避免地导致系统之间的上行和下行共信道干扰。分析了地面物联网和卫星物联网上下行路上可能出现的各种干扰场景。然后,建立了干扰量的全局动态模型,通过仿真得到了低轨卫星物联网全局干扰的动态分布。最后,利用低轨卫星物联网全球干扰场景、干扰分布模型和干扰分析模型,对低轨卫星物联网全球上下行干扰进行动态分析,并利用干扰分析结果为低轨卫星物联网的部署提供建议。
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引用次数: 8
Resource Management in Cloud Data Centers: A Survey 云数据中心中的资源管理:调查
Khaoula Braiki, H. Youssef
Cloud computing faces many challenges which constitute research problems. The key challenge is to achieve good resource management that will result in minimum energy consumption. This problem has been the subject of extensive research. In this paper, we report major solutions to the existing work proposed for the infrastructure cloud. We categorize these solutions based on approach optimization, used methods, and objective models. The latter are introduced by mathematical formulations that may be classified as mono-objective and multi-objective formulations. Typically, the single objective takes into account energy. Whereas, the multi-objective considers others, like resource utilization. Extensive simulation, using cloudsim, shows that the multi-objective formulations provide significant improvement than the mono-objective ones. Indeed, the results show an improvement of as much as 12% in the average energy consumption and 15% in the average resource utilization.
云计算面临着许多挑战,这些挑战构成了研究问题。关键的挑战是实现良好的资源管理,从而将能源消耗降到最低。这个问题一直是广泛研究的主题。在本文中,我们报告了针对基础设施云提出的现有工作的主要解决方案。我们根据方法优化、使用方法和目标模型对这些解决方案进行分类。后者是通过数学公式引入的,可分为单目标和多目标公式。通常,单一目标会考虑能量。而多目标则考虑其他因素,如资源利用。使用cloudsim进行了大量的仿真,结果表明多目标公式比单目标公式有显著的改进。事实上,结果显示,平均能源消耗和平均资源利用率分别提高了12%和15%。
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引用次数: 18
Body Area Networks MAC Protocols for Healthcare: Performance Evaluation 用于医疗保健的体域网络MAC协议:性能评估
Ferdawss Douma, R. Braham
Wireless Body Area Networks (WBANs) have shown their important impact in healthcare systems since the deployment of these networks allows remote medical monitoring at a lower cost. In this work, we evaluate the performance of two standards: IEEE802.15.6 and IEEE802.15.4 when applied in a healthcare system scenario. We compare their communication modes and access mechanisms. Finally, we propose modifications to IEEE 802.15.6 access mode to enhance its performance. Simulation result demonstrates that the proposed modification improves the protocol performance in terms of packets latency and received packets number.
无线体域网络(wban)在医疗保健系统中已经显示出其重要的影响,因为这些网络的部署允许以较低的成本进行远程医疗监测。在这项工作中,我们评估了两个标准的性能:IEEE802.15.6和IEEE802.15.4在医疗保健系统场景中的应用。我们比较了它们的通信模式和访问机制。最后,我们提出了对IEEE 802.15.6接入模式的修改,以提高其性能。仿真结果表明,改进后的协议在数据包延迟和接收数据包数量方面都有了很大的提高。
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引用次数: 1
Evaluating Precision of a new Hybrid Indoor Localization System 一种新型混合室内定位系统的精度评价
Adel Thaljaoui, N. Nasri, T. Val, Sami Mahfoudhi, Damien Brulin
Bluetooth Low Energy (BLE) has revealed for decades many interesting opportunities especially in the field of positioning that made of it one of the most used technologies in indoor localization solutions. The system we propose is a combination of BLE, Acoustic and LiFi technologies. Our approach is not just arithmetic but using real time computed metrics that act precision indicators or "Dilution of precision" (DOP) weights of the results given by each technology. Depending on these DOP-like indicators, we were able to judge how much precise and accurate the returned results are. Our new approach was confirmed during experiments showing that the precision of this new hybrid system is much better when using these new precision metrics.
几十年来,低功耗蓝牙(BLE)揭示了许多有趣的机会,特别是在定位领域,使其成为室内定位解决方案中最常用的技术之一。我们提出的系统是BLE, Acoustic和LiFi技术的结合。我们的方法不仅仅是算术,而是使用实时计算指标,这些指标可以作为每种技术给出的结果的精度指标或“精度稀释度”(DOP)权重。根据这些类似于dopa的指标,我们能够判断返回结果的精确度和准确性。实验结果表明,当使用这些新的精度指标时,新的混合系统的精度大大提高。
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引用次数: 0
A Multi-objective Service Function Chain Mapping Mechanism for IoT networks 面向物联网网络的多目标业务功能链映射机制
Cong Han, Siya Xu, Shaoyong Guo, Xue-song Qiu, Ao Xiong, Peng Yu, Kunya Guo, Dong Guo
Network Function Virtualization (NFV) promises a significant advantage for IoT operators to steer substantial customizable service through a sequence of virtual network function (VNF). Service Function Chain (SFC) mapping is a key problem in IoT network resource allocation. There are two challenges in virtual resource allocation include: 1) how to map SFC requests to appropriate devices in the right sequence; 2) how to assure QoS requirements of SFC requests. Therefore, to meet the sharp increase of IoT traffic amounts and the diversification of IoT service requirements, a multi-objective service function chain mapping mechanism is proposed with two sub-mechanisms. First, a SFC mapping algorithm is designed to embed VNFs onto the substrate layer based on cost and load balancing. Then a reliability-aware SFC backup algorithm combining SFC backup and VNF backup is presented to economically and efficiently improve service reliability. The simulation results show that the algorithm can significantly improve the acceptance ratio of SFC requests, reduce cost, ensure network balance, and achieve long-term sustainable operation of the network.
网络功能虚拟化(NFV)为物联网运营商提供了一个显著的优势,可以通过一系列虚拟网络功能(VNF)来引导大量的可定制服务。业务功能链映射是物联网网络资源分配中的一个关键问题。在虚拟资源分配中存在两个挑战:1)如何将SFC请求以正确的顺序映射到适当的设备;2)如何保证SFC请求的QoS要求。为此,为满足物联网业务量的急剧增长和物联网服务需求的多样化,提出了一种包含两个子机制的多目标业务功能链映射机制。首先,设计了一种SFC映射算法,基于成本和负载平衡将VNFs嵌入到基板层上。在此基础上,提出了一种SFC备份与VNF备份相结合的可靠性感知SFC备份算法,以经济高效地提高业务可靠性。仿真结果表明,该算法可以显著提高SFC请求的接受率,降低成本,保证网络平衡,实现网络的长期可持续运行。
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引用次数: 4
期刊
2019 15th International Wireless Communications & Mobile Computing Conference (IWCMC)
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