2019 IEEE Global Communications Conference (GLOBECOM)最新文献_第6页

UAV-Assisted Data Dissemination with Proactive Caching and File Sharing in V2X Networks V2X网络中具有主动缓存和文件共享的无人机辅助数据传播

2019 IEEE Global Communications Conference (GLOBECOM) Pub Date : 2019-12-01 DOI: 10.1109/GLOBECOM38437.2019.9013226

Rui Lu, Rongqing Zhang, Xiang Cheng, Liuqing Yang

{"title":"UAV-Assisted Data Dissemination with Proactive Caching and File Sharing in V2X Networks","authors":"Rui Lu, Rongqing Zhang, Xiang Cheng, Liuqing Yang","doi":"10.1109/GLOBECOM38437.2019.9013226","DOIUrl":"https://doi.org/10.1109/GLOBECOM38437.2019.9013226","url":null,"abstract":"Vehicle-to-Everything (V2X) communications refers to an intelligent and connected vehicular network where all vehicles and infrastructure systems are interconnected with each other. Data dissemination is playing an increasingly significant role in enhancing the network connectivity and data transmission performance. However, conventional scenarios and protocols cannot satisfy the growing pluralistic and superior quality of services (QoS) requirements of included vehicles. Therefore, in this paper, we propose a novel unmanned aerial vehicle (UAV)-assisted data dissemination protocol with proactive caching at the vehicles and an advanced file sharing strategy for revolutionizing communications. Specifically, in the proactive caching phase, we employ UAVs to act as flying base stations (BSs) for information interactions. Considering the time-variant network topology, we further propose a spatial scheduling (SS) algorithm for the trajectory optimization of each UAV, which can expedite the caching process and boost the system throughput. Then in the file sharing phase, based on the previous caching status, we provide a relay ordering algorithm to enhance the network transmission performance. Numerical results verify that our proposed UAV-assisted data transmission protocol can achieve a desirable system performance in terms of the downloading process, network throughput, and average data delivery delay.","PeriodicalId":6868,"journal":{"name":"2019 IEEE Global Communications Conference (GLOBECOM)","volume":"41 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78790174","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: 13

UAV for Energy-Efficient IoT Communications: Matching Game Approach 面向节能物联网通信的无人机:匹配博弈方法

2019 IEEE Global Communications Conference (GLOBECOM) Pub Date : 2019-12-01 DOI: 10.1109/GLOBECOM38437.2019.9013200

Safae Lhazmir, Omar Ait Oualhaj, A. Kobbane, J. Ben-othman

引用次数: 2

Secrecy Performance Analysis for An-Aided Linear ZFBF in MU-MIMO Systems with Limited Feedback 有限反馈MU-MIMO系统中辅助线性ZFBF的保密性能分析

2019 IEEE Global Communications Conference (GLOBECOM) Pub Date : 2019-12-01 DOI: 10.1109/GLOBECOM38437.2019.9014215

Lu Cao, Zhiyao Tang, Liang Sun, Zhenni Pan, S. Shimamoto, Yong Feng

{"title":"Secrecy Performance Analysis for An-Aided Linear ZFBF in MU-MIMO Systems with Limited Feedback","authors":"Lu Cao, Zhiyao Tang, Liang Sun, Zhenni Pan, S. Shimamoto, Yong Feng","doi":"10.1109/GLOBECOM38437.2019.9014215","DOIUrl":"https://doi.org/10.1109/GLOBECOM38437.2019.9014215","url":null,"abstract":"Although there have been extensive works on artificial-noise-aided (AN-aided) secure transmission schemes for multi-antenna systems, there is still lack of study on the AN-aided scheme employing the widely used linear zero-forcing beamforming (ZFBF) for systems with multiple distributed users. Particularly, there is no analytical secrecy performance for general system settings with neither perfect nor imperfect channel state information of the legitimate users at the transmitter (CSIT). This paper considers the AN-aided ZFBF based on the quantized CSIT for secure communication in the downlink multiuser multi-antenna systems with an external multi-antenna eavesdropper. We develop an approximated closed-form lower bound on the ergodic rate of each legitimate user (LU), and also a closed-form upper bound on the maximum achievable ergodic rate for each LU's messages over the eavesdropper's channel without assuming any asymptotes for system parameters. Then, an approximated closed-form lower bound on the ergodic secrecy rate of each LU follows. Simulation results validate our analytical secrecy performance results and also the effectiveness of AN in enhancing the secrecy performance of linear ZFBF.","PeriodicalId":6868,"journal":{"name":"2019 IEEE Global Communications Conference (GLOBECOM)","volume":"580 2 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76319333","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: 0

Sentiment Analysis Using Naive Bayes Approach with Weighted Reviews - A Case Study 基于加权评论的朴素贝叶斯方法的情感分析-一个案例研究

2019 IEEE Global Communications Conference (GLOBECOM) Pub Date : 2019-12-01 DOI: 10.1109/GLOBECOM38437.2019.9013588

Brandon Joyce, Jing Deng

引用次数: 2

EM-Based ML Estimation of Fast Time-Varying Multipath Channels for SIMO OFDM Systems SIMO OFDM系统快速时变多径信道的基于em的ML估计

2019 IEEE Global Communications Conference (GLOBECOM) Pub Date : 2019-12-01 DOI: 10.1109/GLOBECOM38437.2019.9014338

Souheib Ben Amor, S. Affes, F. Bellili

引用次数: 1

Channel Model for Spiking Neural Networks Inspired by Impulse Radio MIMO Transmission 基于脉冲无线电MIMO传输的脉冲神经网络信道模型

2019 IEEE Global Communications Conference (GLOBECOM) Pub Date : 2019-12-01 DOI: 10.1109/GLOBECOM38437.2019.9013114

Y. Katayama

引用次数: 1

Early-Late Protocol for Coordinated Beam Scheduling in mmWave Cellular Networks 毫米波蜂窝网络中协调波束调度的早-晚协议

2019 IEEE Global Communications Conference (GLOBECOM) Pub Date : 2019-12-01 DOI: 10.1109/GLOBECOM38437.2019.9013827

Ziyuan Sha, Zhaocheng Wang, Sheng Chen, L. Hanzo

引用次数: 5

Loss-Aware Efficient Energy Balancing in Mobile Opportunistic Networks 移动机会网络中损耗感知的高效能量平衡

2019 IEEE Global Communications Conference (GLOBECOM) Pub Date : 2019-12-01 DOI: 10.1109/GLOBECOM38437.2019.9014073

Aashish Dhungana, E. Bulut

{"title":"Loss-Aware Efficient Energy Balancing in Mobile Opportunistic Networks","authors":"Aashish Dhungana, E. Bulut","doi":"10.1109/GLOBECOM38437.2019.9014073","DOIUrl":"https://doi.org/10.1109/GLOBECOM38437.2019.9014073","url":null,"abstract":"Energy management is a challenging issue to be addressed in networks consisting of battery-powered devices. With the recently emerging wireless power transfer technology, many studies have utilized wireless charging to address this problem and provide energy ubiquitously to these devices for making them functional continuously. Besides the well- studied problems such as optimal scheduling of mobile chargers, recently an interesting problem of energy balancing among a population of mobile nodes has been considered to prolong the lifetime of the network through the opportunistic energy exchanges between the nodes. The state-of-the-art solutions target an energy balance among the devices as fast as possible but they waste energy due to the loss during peer-to-peer energy transfer. In this paper, we study the energy balancing problem that aims to minimize both the energy difference between nodes and the energy loss during this process. To this end, we propose three different energy sharing protocols between nodes based on different heuristics. Through simulations, we show that all the proposed algorithms show better performance than the state-of-the-art. The third proposed algorithm achieves the best performance by reaching an energy balance between nodes while keeping the maximum possible energy in the network (i.e., minimum loss).","PeriodicalId":6868,"journal":{"name":"2019 IEEE Global Communications Conference (GLOBECOM)","volume":"14 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87831171","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

Online Downlink MIMO Wireless Network Virtualization in Fading Environments 衰落环境下的在线下行MIMO无线网络虚拟化

2019 IEEE Global Communications Conference (GLOBECOM) Pub Date : 2019-12-01 DOI: 10.1109/GLOBECOM38437.2019.9013124

Juncheng Wang, Min Dong, B. Liang, G. Boudreau

引用次数: 6

Power Dispatching in Cloud Data Centers Using Smart Microgrids: A Game Theory Approach 基于智能微电网的云数据中心电力调度:博弈论方法

2019 IEEE Global Communications Conference (GLOBECOM) Pub Date : 2019-12-01 DOI: 10.1109/GLOBECOM38437.2019.9013640

Mohammed Anis Benblidia, B. Brik, M. Esseghir, L. Merghem

{"title":"Power Dispatching in Cloud Data Centers Using Smart Microgrids: A Game Theory Approach","authors":"Mohammed Anis Benblidia, B. Brik, M. Esseghir, L. Merghem","doi":"10.1109/GLOBECOM38437.2019.9013640","DOIUrl":"https://doi.org/10.1109/GLOBECOM38437.2019.9013640","url":null,"abstract":"The proliferation of cloud-based applications in smart systems has made the cloud data center a vital and critical part for ensuring a connected world. Due to their energy-hungry servers and huge power facilities, cloud data centers tend to consume a lot of power. In fact, the data centers use about 1.4% of all the power generated on the planet. On one hand, this has a negative impact on the power grid and may cause blackouts. On the other hand, it has a negative impact on the environment and it is mainly involved in global warming. Thus, one of the most important challenges in cloud data centers is power consumption minimization. In this paper, we propose a microgrid-cloud based architecture and study the grid power dispatching problem to cloud data centers. At first, we model the power quantity demand between the data centers and smart microgrids as a non-cooperative game, due to their non-cooperative power demands behavior. Then, we try to allocate the optimal quantity of power to each data center according to its green power consumption, network bandwidth usage and its network equipment power usage. Second, we formulate the game payoff function as a non-linear optimization problem and solve it using Lagrange multipliers and KarushKuhnTucker (KKT) conditions. Finally, we compare the performance of our approach with two power allocation algorithms and showed that our game is more effective and reduces power load with a rate of 40.5%. Furthermore, our scheme incites data centers to use green energy and significantly reduces dioxide carbon emission.","PeriodicalId":6868,"journal":{"name":"2019 IEEE Global Communications Conference (GLOBECOM)","volume":"13 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86994966","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