2018 IEEE Globecom Workshops (GC Wkshps)最新文献_第3页

Green Fog Offloading Strategy for Heterogeneous Wireless Edge Networks 异构无线边缘网络的绿雾卸载策略

2018 IEEE Globecom Workshops (GC Wkshps) Pub Date : 2018-12-01 DOI: 10.1109/GLOCOMW.2018.8644285

Yung-Lin Hsu, Hung-Yu Wei, M. Bennis

{"title":"Green Fog Offloading Strategy for Heterogeneous Wireless Edge Networks","authors":"Yung-Lin Hsu, Hung-Yu Wei, M. Bennis","doi":"10.1109/GLOCOMW.2018.8644285","DOIUrl":"https://doi.org/10.1109/GLOCOMW.2018.8644285","url":null,"abstract":"Multi-access/Mobile Edge Computing (MEC) and fog computing are promising techniques to satisfy low latency requirements for emerging next generation applications. Moving computation entities closer to a user could reduce the overall serving latency. In terms of green communications, given the latency constraint, how to minimize the power consumption at the user equipment (UE) and the edge node (EN) sides is important. Considering several edge nodes, partially offloading a user's task to one or more edge nodes is key. In this paper, a multi-node partial task offloading MEC scenario is discussed, in which UEs locally compute the task and share the remainder with other edge nodes. In addition, a green task distribution algorithm which minimizes the system power consumption is proposed, considering queueing, transmitting and computing delay. The simulation results show that the proposed algorithm minimizes the power consumption while meeting the latency requirements, and the power saving efficiency outperforms a binary offloading strategy. Moreover, the coupling effects between the latency requirements, offloading signal strength within the edge nodes, computation capability of edge nodes and the number of subcarriers used to transmit the offloading task are discussed.","PeriodicalId":348924,"journal":{"name":"2018 IEEE Globecom Workshops (GC Wkshps)","volume":"274 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":"128111800","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: 7

Artificial Intelligence Based Handoff Management for Dense WLANs: A Deep Learning Approach 基于人工智能的密集wlan切换管理:一种深度学习方法

2018 IEEE Globecom Workshops (GC Wkshps) Pub Date : 2018-12-01 DOI: 10.1109/GLOCOMW.2018.8644319

Zijun Han, X. Wen, Wei Zheng, Zhaoming Lu, Tao Lei

{"title":"Artificial Intelligence Based Handoff Management for Dense WLANs: A Deep Learning Approach","authors":"Zijun Han, X. Wen, Wei Zheng, Zhaoming Lu, Tao Lei","doi":"10.1109/GLOCOMW.2018.8644319","DOIUrl":"https://doi.org/10.1109/GLOCOMW.2018.8644319","url":null,"abstract":"The traditional handoff management scheme in Wireless Local Area Network (WLAN) generates noticeable delays during the handoff process, resulting in discontinuity of service, which is more evident in dense WLANs. Inspired by the Software Defined Network (SDN), prior works put forward many feasible seamless handoff mechanisms to ensure the service continuity. However, when to trigger the handoff and which access point (AP) to reconnect to are still tricky problems. In this paper, we present RNN-HM, a novel handoff management scheme based on deep learning, specifically recurrent neural network (RNN). The proposed scheme enables the network to learn from the actual users' behaviors and the network status from the scratch. Centralized control over the handoff is eventually realized using SDN, setting the network free from parameter configurations. A preprocessing data representation leveraging the signal-to-interference-plus-noise ratio (SINR) is introduced to characterize the system state. Numerical results through simulation demonstrate that RNN-HM can effectively improve the data rate during the handoff process, outperforming the traditional scheme.","PeriodicalId":348924,"journal":{"name":"2018 IEEE Globecom Workshops (GC Wkshps)","volume":"2 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":"128113396","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: 6

Content Delivery in Mobility-Aware D2D Caching Networks 移动感知D2D缓存网络中的内容传递

2018 IEEE Globecom Workshops (GC Wkshps) Pub Date : 2018-12-01 DOI: 10.1109/GLOCOMW.2018.8644159

Badiaa Gabr, Sameh Hosny, M. Nafie

{"title":"Content Delivery in Mobility-Aware D2D Caching Networks","authors":"Badiaa Gabr, Sameh Hosny, M. Nafie","doi":"10.1109/GLOCOMW.2018.8644159","DOIUrl":"https://doi.org/10.1109/GLOCOMW.2018.8644159","url":null,"abstract":"The massive data exchange between base stations and network backhaul creates a strong overhead on mobile networks, especially at peak times. This motivates researchers to think about the proactive caching concept which depends mainly on caching some of the expected data items during off-peak times. The caching problem consists of two distinct phases, placement phase and delivery phase. In this work, we consider a mobility-aware device-to-device (D2D) caching network. We assume that data contents were already cached in users devices during the content placement phase and we focus on the content delivery phase. The social relationships between users allows us to predict their meeting probabilities at some places. Moreover, the similarity in users interest increases the probability of finding requested data items at nearby users and hence increases the hit probability. This motivates us to study the effect of sociality and interest similarity on the content delivery. We study how to minimize users average cost by obtaining the requested data items from nearby users, via D2D communication, instead of going back to the base station. Dynamic programming is used to find an optimal content delivery policy. Due to the complexity of the optimal policy, we introduce a suboptimal algorithm and compare between them. We show, through numerical results, that the proposed algorithm has a significant performance, compared to the optimal content delivery policy, for a large enough number of time slots.","PeriodicalId":348924,"journal":{"name":"2018 IEEE Globecom Workshops (GC Wkshps)","volume":"43 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":"125601977","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

Ordered Sequence Detection and Robust Design for Pulse Interval Modulation 脉冲间隔调制的有序序列检测与鲁棒设计

2018 IEEE Globecom Workshops (GC Wkshps) Pub Date : 2018-12-01 DOI: 10.1109/GLOCOMW.2018.8644163

Shuaishuai Guo, Kihong Park, Mohamed-Slim Alouini

引用次数: 2

Human Activity Recognition Using Deep Learning Networks with Enhanced Channel State Information 利用增强通道状态信息的深度学习网络进行人类活动识别

2018 IEEE Globecom Workshops (GC Wkshps) Pub Date : 2018-12-01 DOI: 10.1109/GLOCOMW.2018.8644435

Zhenguo Shi, J. A. Zhang, R. Xu, Gengfa Fang

引用次数: 21

Modeling Differential Screen-Camera Data Transmission for Parallel Video Presentation 并行视频显示的差分屏摄像机数据传输建模

2018 IEEE Globecom Workshops (GC Wkshps) Pub Date : 2018-12-01 DOI: 10.1109/GLOCOMW.2018.8644133

Christian Brauers, R. Kays, J. Klein, Jianshuang Xu

引用次数: 5

Gibbs Sampling Aided Throughput Improvement for Next-Generation Wi-Fi Gibbs采样辅助下一代Wi-Fi的吞吐量改进

2018 IEEE Globecom Workshops (GC Wkshps) Pub Date : 2018-12-01 DOI: 10.1109/GLOCOMW.2018.8644188

A. Mehbodniya, Julian Webber, K. Yano, T. Kumagai, M. Flanagan

{"title":"Gibbs Sampling Aided Throughput Improvement for Next-Generation Wi-Fi","authors":"A. Mehbodniya, Julian Webber, K. Yano, T. Kumagai, M. Flanagan","doi":"10.1109/GLOCOMW.2018.8644188","DOIUrl":"https://doi.org/10.1109/GLOCOMW.2018.8644188","url":null,"abstract":"Wireless communications, and in particular wireless local area network (WLAN) technology, has undergone a tremendous evolution in the past decades. After the release of the WLAN standard IEEE 802.11a/b in 1999, Wi-Fi technology soon became pervasive, thanks mainly to its deployment on the unlicensed ISM band. However, high traffic, especially in hotspots and areas with dense deployment of Wi-Fi access points (APs) (e.g., stations, airports, etc.) has caused major issues and a severe degradation of communications quality. The latest WLAN standards (e.g., 802.11ac, 802.11ax) have largely succeeded in improving the link quality and data rate by adopting state-of-the-art PHY layer technologies, e.g., OFDMA, MU-MIMO. However, improvement of the MAC layer in these standards is not noticeable due to restrictions such as hardware limitation and backward compatibility issues for legacy APs. As an effort to improve the MAC layer for the next-generation WLAN standard, in this paper we propose a simple algorithm with low computational complexity for channel selection in Wi-Fi networks. The main idea is to take advantage of the potential of the IEEE 802.11ax MAC to avoid major standard modifications. For this purpose, we employ the channel utilization ratio (CUR), which is measured periodically by each AP based on its channel sensing. Time-averaged CUR values are weighted based on a Gibbs sampling approach and a probability associated to each channel is updated. Finally, a channel is selected based on the aforementioned probabilities in predefined time slots. Simulation results show that the proposed approach can improve the system throughput by up to 5% and transmission delay by up to 20%.","PeriodicalId":348924,"journal":{"name":"2018 IEEE Globecom Workshops (GC Wkshps)","volume":"12 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":"131466515","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

Hierarchical Codebook and Beam Alignment for UAV Communications 无人机通信的分层码本和波束对准

2018 IEEE Globecom Workshops (GC Wkshps) Pub Date : 2018-12-01 DOI: 10.1109/GLOCOMW.2018.8644072

Lu Yang, Wei Zhang

引用次数: 11

Multi-Access Edge Computing for Vehicular Networks: A Position Paper 面向车辆网络的多接入边缘计算

2018 IEEE Globecom Workshops (GC Wkshps) Pub Date : 2018-12-01 DOI: 10.1109/GLOCOMW.2018.8644392

R. Soua, Ion Turcanu, Florian Adamsky, Detlef Führer, T. Engel

{"title":"Multi-Access Edge Computing for Vehicular Networks: A Position Paper","authors":"R. Soua, Ion Turcanu, Florian Adamsky, Detlef Führer, T. Engel","doi":"10.1109/GLOCOMW.2018.8644392","DOIUrl":"https://doi.org/10.1109/GLOCOMW.2018.8644392","url":null,"abstract":"With the emergence of self-driving technology and the ever-increasing demand of bandwidth-hungry applications, providing the required latency, security and computational capabilities is becoming a challenging task. Although being evolving, traditional vehicular radio access technologies, namely WLAN/IEEE 802.11p and cellular networks cannot meet all the requirements of future Cooperative, Connected and Automated Mobility (CCAM). In addition, current vehicular architectures are not sufficiently flexible to support the highly heterogeneous landscape of emerging communication technologies, such as mmWave, Cellular Vehicle-to-Everything (C-V2X), and Visible Light Communication (VLC). To this aim, Multi-access Edge Computing (MEC) has been recently proposed to enhance the quality of passengers experience in delay-sensitive applications. In this paper, we discuss the in-premises features of MEC and the need of supporting technologies, such as Software Defined Networking (SDN) and Network Function Virtualization (NFV), to fulfil the requirements in terms of responsiveness, reliability and resiliency. The latter is of paramount importance for automated services, which are supposed to be always-on and always-available. We outline possible solutions for mobility-aware computation offloading, dynamic spectrum sharing, and interference mitigation. Also, by revealing MEC-inherent security vulnerabilities, we argue for the need of adequate security and privacy-preserving schemes in MEC-enabled vehicular architectures.","PeriodicalId":348924,"journal":{"name":"2018 IEEE Globecom Workshops (GC Wkshps)","volume":"28 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":"133679058","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: 24

Quantum Walks with Entangled Coins and Walkers in Superposition 纠缠硬币和叠加步行者的量子行走

2018 IEEE Globecom Workshops (GC Wkshps) Pub Date : 2018-12-01 DOI: 10.1109/GLOCOMW.2018.8644206

S. Venegas-Andraca

引用次数: 1