2018 IEEE Globecom Workshops (GC Wkshps)最新文献_第8页

Deep Neural Network Based Computational Resource Allocation for Mobile Edge Computing 基于深度神经网络的移动边缘计算资源分配

2018 IEEE Globecom Workshops (GC Wkshps) Pub Date : 2018-12-01 DOI: 10.1109/GLOCOMW.2018.8644391

Ji Li, Tiejun Lv

{"title":"Deep Neural Network Based Computational Resource Allocation for Mobile Edge Computing","authors":"Ji Li, Tiejun Lv","doi":"10.1109/GLOCOMW.2018.8644391","DOIUrl":"https://doi.org/10.1109/GLOCOMW.2018.8644391","url":null,"abstract":"The fifth generation of mobile technology, 5G, is facing a new challenge of explosive data traffic growth and massive device connection. 5G network new businesses such as driverless cars and smart grid require low delay, which are also energy-consuming applications. Mobile Edge Computing (MEC) is proposed as a new paradigm to provide computational resources for mobile users at the edge of mobile networks by deploying dense high-performance servers. Mobile devices (MDs) can migrate part of their tasks to the MEC server for parallel computation via wireless channel to obtain better user experience. Optimization algorithms have been reliable for solving such resource allocation problems. However, the iterative optimization algorithms are not suitable for the high real-time MEC system due to the complex operations and iterations. To tackle this challenge, we propose a deep neural network based algorithm. Firstly we use a classic optimization algorithm sequential quadratic programming (SQP) to get the optimization results. Then we train the DNN to approximate the behavior of SQP with the optimization results. The experiment results show that our proposed DNN based theme can be trained to well approximate SQP with high accuracy while speeding up the running time hundreds of times to meet the real-time requirement. Further, the comparison between the special DNN and general DNN show that we just need to train a general DNN with tolerable performance loss instead of training special DNNs towards different parameters like the number of MDs in the MEC system.","PeriodicalId":348924,"journal":{"name":"2018 IEEE Globecom Workshops (GC Wkshps)","volume":"90 7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130582531","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Indoor Localization Using Three Dimensional Multi-PDs Receiver Based on RSS 基于RSS的三维多分量接收机室内定位

2018 IEEE Globecom Workshops (GC Wkshps) Pub Date : 2018-12-01 DOI: 10.25781/KAUST-LF7OL

Yinghao Liu, Kihong Park, B. Ooi, Mohamed-Slim Alouini

引用次数: 2

Physical Layer Security of Full-Duplex Two-Way AF Relaying Networks with Optimal Relay Selection 具有最佳中继选择的全双工双向AF中继网络的物理层安全性

2018 IEEE Globecom Workshops (GC Wkshps) Pub Date : 2018-12-01 DOI: 10.1109/GLOCOMW.2018.8644299

Fang Liu, Jiaojiao Li, Shulan Li, Yuan’an Liu

引用次数: 2

A Survey of Anomaly and Automation from a Cybersecurity Perspective 网络安全视角下的异常与自动化研究

2018 IEEE Globecom Workshops (GC Wkshps) Pub Date : 2018-12-01 DOI: 10.1109/GLOCOMW.2018.8644456

Michael Donevski, T. Zia

引用次数: 6

Self-Interference Channel Characterization in a Full-Duplex System Using LTE Base Station Antenna LTE基站天线全双工系统的自干扰信道特性

2018 IEEE Globecom Workshops (GC Wkshps) Pub Date : 2018-12-01 DOI: 10.1109/GLOCOMW.2018.8644191

Arjun Nadh, Rakshith Jagannath, R. Ganti, P. H. Rao

引用次数: 2

Code-Domain Non-Orthogonal Multiple Access for Visible Light Communications 可见光通信的码域非正交多址

2018 IEEE Globecom Workshops (GC Wkshps) Pub Date : 2018-12-01 DOI: 10.1109/GLOCOMW.2018.8644271

Jincheng Dai, K. Niu, Jiaru Lin

{"title":"Code-Domain Non-Orthogonal Multiple Access for Visible Light Communications","authors":"Jincheng Dai, K. Niu, Jiaru Lin","doi":"10.1109/GLOCOMW.2018.8644271","DOIUrl":"https://doi.org/10.1109/GLOCOMW.2018.8644271","url":null,"abstract":"The key limitation of high-speed indoor visible light communication (VLC) system is the narrow bandwidth of the light sources. Accordingly, in this paper, we introduce the code-domain non-orthogonal multiple access (CD-NOMA) to enhance the achievable throughput in VLC downlink networks. Compared to the power-domain NOMA (PD-NOMA) in VLC systems, the CD-NOMA can be more efficiently combined with the orthogonal frequency division multiplexing (OFDM) transmission so that it will be more attractive for practical implementation. In contrast to the SIC multiuser detection in PD-NOMA, message passing algorithm (MPA) in the factor graph acts as the multiuser detection scheme in the CD-NOMA VLC systems. Hence, combining the features MPA detection and the VLC channel gain, we first develop a power allocation criterion for the superposition signals at each OFDM subcarrier so as to maintain the user fairness. Furthermore, note that under the stable and high signal-to-noise ratio VLC channel, the underlying factor graph's girth indeed dominates the performance of MPA detection. Accordingly, we propose a progressive edge-permutation (PEP) algorithm to optimize the mapping patterns from the users' data to the OFDM subcarriers. Consequently, the girth of the whole factor graph is obviously enlarged and the performance of MPA detection in the CD-NOMA VLC systems is well boosted. The effectiveness of the proposed method is verified via the numerical error performance upper bound analysis and the Monte-Carlo simulation.","PeriodicalId":348924,"journal":{"name":"2018 IEEE Globecom Workshops (GC Wkshps)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121814229","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Wirelessly Powered Over-the-Air Computation for High-Mobility Sensing 用于高机动性传感的无线供电空中计算

2018 IEEE Globecom Workshops (GC Wkshps) Pub Date : 2018-12-01 DOI: 10.1109/GLOCOMW.2018.8644497

Xiaoyang Li, Guangxu Zhu, Yi Gong, Kaibin Huang

{"title":"Wirelessly Powered Over-the-Air Computation for High-Mobility Sensing","authors":"Xiaoyang Li, Guangxu Zhu, Yi Gong, Kaibin Huang","doi":"10.1109/GLOCOMW.2018.8644497","DOIUrl":"https://doi.org/10.1109/GLOCOMW.2018.8644497","url":null,"abstract":"For a dense sensor network in a smart city, efficient data aggregation can be realized by deploying readers mounted on unmanned aerial vehicles (UAVs), At high mobility and given dense sensors, the requirement of ultra-low latency cannot be met using a traditional multi-access scheme such as time-division or orthogonal-frequency-division multiple access. A technique called over-the-air computation (AirComp) has emerged to be a promising solution for high-mobility sensing, which integrates functional computation (e.g., averaging and geometric mean) and multi-access by exploiting analog waveform addition. Targeting high-mobility sensing, the technique supports ultra-fast simultaneous access and function computation. In this paper, building on multi-antenna AirComp, we present a new frame-work of wirelessly powered (WP) AirComp to enable UAVs for simultaneous data aggregation and wirelessly powering sensors, where wireless power solves a key design challenge of battery recharging for many sensors. The key feature of WP-AirComp is the leverage of down-link wireless power transfer (WPT) as an additional design dimension for reducing the sum computation error in up-link AirComp. Designing the framework involves the joint optimization of power control, energy beamforming and AirComp equalization. To derive a practical solution, we recast the non-convex problem into equivalent outer and inner problems for (inner) wireless power control and energy beamforming and (outer) AirComp equalization, respectively. The former is solved in closed form while the latter via semi-definite relaxation, which is shown to reach the global optimum with high probability. The solution reveals that the optimal power beams point to the WPT channels, and the optimal power allocation tends to equalize the round-trip attenuation over sensors.","PeriodicalId":348924,"journal":{"name":"2018 IEEE Globecom Workshops (GC Wkshps)","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125422311","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Finite-Key Effects in Quantum Access Networks with Wireless Links 无线链路量子接入网中的有限键效应

2018 IEEE Globecom Workshops (GC Wkshps) Pub Date : 2018-12-01 DOI: 10.1109/GLOCOMW.2018.8644426

S. Bahrani, Osama Elmabrok, G. Lorenzo, M. Razavi

引用次数: 2

A Joint Allocation Scheme of Control Tasks and Communication Resources in Cyber-Physical Systems 网络物理系统中控制任务与通信资源的联合分配方案

2018 IEEE Globecom Workshops (GC Wkshps) Pub Date : 2018-12-01 DOI: 10.1109/GLOCOMW.2018.8644480

Shiwen Liu, K. Zheng, Long Zhao

引用次数: 1

Take Your Cell a Walk for Ultra-Low e2eDeiay in Software Defined Vehicular Networks 在软件定义的车辆网络中，带着你的手机走一走，享受超低延迟

2018 IEEE Globecom Workshops (GC Wkshps) Pub Date : 2018-12-01 DOI: 10.1109/GLOCOMW.2018.8644413

Müge Erel Ozcevik, B. Canberk

{"title":"Take Your Cell a Walk for Ultra-Low e2eDeiay in Software Defined Vehicular Networks","authors":"Müge Erel Ozcevik, B. Canberk","doi":"10.1109/GLOCOMW.2018.8644413","DOIUrl":"https://doi.org/10.1109/GLOCOMW.2018.8644413","url":null,"abstract":"Recently, to handle end to end mobility and to reduce the OPEX/CAPEX costs of vehicular networks, Handover management is executed with network service chain by virtual Evolved Packet Core (vEPC) thanks to Network Function Virtualization (NFV). However; as the number of Handover requests has increased in an ultra-dense topology with a high number of road side units (RSUs), the SDN/NFV controller has become a bottleneck with an increased response time to a vehicle. In this paper, we investigate the following research question: How to reach few milliseconds end-to-end Delay (e2eDelay) for Ultra-Reliable and Low Latency (URLLC) services in 5G vehicular networks? Therefore, we propose a new SDN/NFV based Handover management without disrupting the centralized manner of SDN controller. To do this, we define a logical and physical coverage area of RSUs with two newly redesigned VNFs named as Smallcell and Macrocell virtual Network Functions (SvNF, MvNF). The former one is for serving vehicle on RSU as a smallcell via physical coverage; whereas the latter one is for forwarding data packets over the same RSU that is a macrocell via logical coverage without any Handover request. E2eDelay is monitored by the proposed queuing theoretic formula in a novel Handover Triggering Algorithm which checks the length of the service chain and determines the optimal time to run Handover network function. According to performance results, the proposed SDN/NFV architecture offers 12 milliseconds reduced e2eDelay, by keeping it under 5G requirements (a few milliseconds) with the service chain up to 7 lengths and keeping the centralized manner of SDN.","PeriodicalId":348924,"journal":{"name":"2018 IEEE Globecom Workshops (GC Wkshps)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127402641","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2