2015 International Conference on Computing, Networking and Communications (ICNC)最新文献_第7页

Enabling 3D MIMO in LTE-Advanced — From the CSI acquisition perspective 在LTE-Advanced中启用3D MIMO -从CSI采集的角度来看

2015 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 2015-03-30 DOI: 10.1109/ICCNC.2015.7069292

Yu Zhang, Chao Wei, Ruiming Zheng, Neng Wang, J. Hou

引用次数: 4

Practical channel acquisition for massive MIMO systems in LTE LTE中大规模MIMO系统的实用信道获取

2015 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 2015-03-30 DOI: 10.1109/ICCNC.2015.7069313

Runhua Chen, Qiubin Gao, Hui Li, Rakesh Tamrakar, Shaohui Sun

引用次数: 2

An application-layer approach for energy-efficient multimedia streaming 一种高能效多媒体流的应用层方法

2015 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 2015-03-30 DOI: 10.1109/ICCNC.2015.7069439

Yongxing Liu, Mea Wang

引用次数: 3

Challenges for cooperative ITS: Improving road safety through the integration of wireless communications, control, and positioning 合作型智能交通系统面临的挑战:通过无线通信、控制和定位的整合改善道路安全

2015 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 2015-03-30 DOI: 10.1109/ICCNC.2015.7069408

H. Wymeersch, G. R. Campos, P. Falcone, L. Svensson, E. Ström

引用次数: 34

Unmanned aerial vehicles: Communications challenges and future aerial networking 无人机:通信挑战和未来空中网络

2015 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 2015-03-30 DOI: 10.1109/ICCNC.2015.7069407

D. Matolak

{"title":"Unmanned aerial vehicles: Communications challenges and future aerial networking","authors":"D. Matolak","doi":"10.1109/ICCNC.2015.7069407","DOIUrl":"https://doi.org/10.1109/ICCNC.2015.7069407","url":null,"abstract":"The use of unmanned aerial vehicles (UAVs) will grow rapidly in the next decade. These remotely piloted or preprogrammed aircraft are envisioned for applications in numerous civil settings, including industrial monitoring, scientific data gathering, agriculture, public safety, and search and rescue. Many other applications - presently unforeseen - will inevitably also arise. These vehicles, also known as unmanned aerial systems (UAS), and by the unfortunate misnomer of \"drones,\" must be integrated into the national airspace system in the United States, and into the airspace worldwide. A natural concern in the use of UAS is safety, and this has direct implications for the control and non-payload communication (CNPC) systems that must be used to operate UAS. Similarly, navigation and surveillance functions must be made more reliable and more accurate. Because of these factors, many UAS research, development, testing, and standardization efforts are underway by governments, industries, and academia. Despite the fact that piloted civil aircraft have been flying safely for decades, UAS CNPC presents distinct new challenges in the form of different flight profiles, e.g., low-elevation flights and more high-dynamic maneuvers; wider required bandwidths, e.g., for video; and different ground site characteristics such as locations in cluttered areas and lower elevation antennas. In this paper we first review our work for NASA on the characterization of the UAS air-ground channel, and our ongoing efforts in evaluation of radio technologies and UAS networking performance. We highlight related significant work in the area and identify the newest challenges in UAS communications and networking. The final part of the paper presents information on trends and opportunities in the vibrant field of UAS communications and networking.","PeriodicalId":219966,"journal":{"name":"2015 International Conference on Computing, Networking and Communications (ICNC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123084472","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: 43

Scalable user intent mining using a multimodal Restricted Boltzmann Machine 使用多模态受限玻尔兹曼机的可扩展用户意图挖掘

2015 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 2015-03-30 DOI: 10.1109/ICCNC.2015.7069416

Yue Shang, Wanying Ding, Mengwen Liu, Xiaoli Song, Tony Hu, Yuan An, Haohong Wang, Lifan Guo

{"title":"Scalable user intent mining using a multimodal Restricted Boltzmann Machine","authors":"Yue Shang, Wanying Ding, Mengwen Liu, Xiaoli Song, Tony Hu, Yuan An, Haohong Wang, Lifan Guo","doi":"10.1109/ICCNC.2015.7069416","DOIUrl":"https://doi.org/10.1109/ICCNC.2015.7069416","url":null,"abstract":"Nowadays, search engines have become indispensable parts of modern human life, which create hundreds and thousands of search logs every second throughout the world. With the explosive growth of online information, a key issue for web search service is to better understand user's need through the short search query to match the user's preference as much as possible. However, due to the lack of the personal information in some scenario and the huge calculation when seeking for relevant user group, personalized search becomes a quite a challenging problem. In this work, we propose a novel scalable framework based on multimodal Restricted Boltzmann Machine (RBM) to do the user intent mining and prediction. This scalable framework works in an unsupervised manner, and is flexible to various situations regardless of the amount of individual information, in other words, it can handles scenarios without personal history information or limited personal history information, the more individual data the better accuracy of user intent prediction and more capable to reflect the individual's interests changing. The framework outputs a binary representation for each query log, thus to some extent, could solve data sparsity problem and reduce the computation complexity when looking for users with similar interests. The experiment results shown that, the model can learn reasonable user intent category during the learning procedure, according to the qualitative analysis of the top ranked context and websites for each class. And it can get a competitive performance when no individual data is offered. Moreover, by offering more individual data (10 history queries), the overall performance improves up to 10% of precision.","PeriodicalId":219966,"journal":{"name":"2015 International Conference on Computing, Networking and Communications (ICNC)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116982820","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: 3

Distributed network flow optimization algorithm with tie-set control based on coloring for SDN 基于着色的SDN分布式网络流优化算法

2015 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 2015-03-30 DOI: 10.1109/ICCNC.2015.7069351

Genya Ishigaki, N. Shinomiya

引用次数: 2

Fixed complexity error pattern estimation 修正复杂度错误模式估计

2015 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 2015-03-30 DOI: 10.1109/ICCNC.2015.7069477

Juhee Yun, Jaekwon Kim

引用次数: 0

A grass-root based radio environment data collections in user participation for improving frequency utilization of cognitive radio and heterogeneous networks 基于用户参与的基层无线电环境数据收集，以提高认知无线电和异构网络的频率利用率

2015 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 2015-03-30 DOI: 10.1109/ICCNC.2015.7069391

Yun Li

{"title":"A grass-root based radio environment data collections in user participation for improving frequency utilization of cognitive radio and heterogeneous networks","authors":"Yun Li","doi":"10.1109/ICCNC.2015.7069391","DOIUrl":"https://doi.org/10.1109/ICCNC.2015.7069391","url":null,"abstract":"Large-scale radio environment data can provide good reference knowledge for self-organization based wireless networks, such as cognitive radio as well as heterogeneous network. However, it is usually difficult to obtain the data of real spectrum usage due to the constrains of radio monitor capability and cost. In this sense, we believe grass-root based spectrum data collection is important. In this paper, we propose a grass-root based spectrum database architecture by encouraging network users to monitor radio environment data and share it with the database through integrating cognitive radio network as well as heterogeneous network. We apply coalitional game to formulate the cooperation among autonomous network users and design an effective algorithm to improve individual benefit of the users in the game. The details of game property is analyzed, and the algorithm can yield stable partition of coalition for network users, through which each user can obtain improved benefit. Simulations have been performed to demonstrate the advantage of the proposal. The proposed spectrum data collection in user participation is expected to enhance radio frequency optimization for self-organization based wireless networks.","PeriodicalId":219966,"journal":{"name":"2015 International Conference on Computing, Networking and Communications (ICNC)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127320059","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

Vehicle data activity quantification using spatio-temporal GIS on modelling smart cities 基于时空GIS的智能城市车辆数据活动量化研究

2015 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 2015-03-30 DOI: 10.1109/ICCNC.2015.7069359

M. Jensen, José M. Gutiérrez López, J. Pedersen

{"title":"Vehicle data activity quantification using spatio-temporal GIS on modelling smart cities","authors":"M. Jensen, José M. Gutiérrez López, J. Pedersen","doi":"10.1109/ICCNC.2015.7069359","DOIUrl":"https://doi.org/10.1109/ICCNC.2015.7069359","url":null,"abstract":"Smart Cities are often defined as systems of systems, where a heterogeneity of digital services oriented to the well-functioning of metropolises converge. It is essential to understand where, when and how much digital data is generated, since upstream traffic is progressively growing, in volume and share. One of the main challenges is how to work with continuous time digital communication services for mobile entities. It may become impractical or even infeasible to work in continuous time, when dealing with a large number of data generating entities. Moreover, it is unclear how to integrate the contribution of these services into a common framework, together with other Smart City oriented services. This integration would contribute to understand distributed digital data activity in cities in a holistic way. Consequently, we analyze how different ways of discretizing services to work with a large number of vehicles perform, compared to the continuous time case. We also integrate them into a common framework for quantifying digital activity in metropolitan areas. The experiments are carried out using empirically collected spatio-temporal vehicle positioning data in a real geographical scenario.","PeriodicalId":219966,"journal":{"name":"2015 International Conference on Computing, Networking and Communications (ICNC)","volume":"165 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126746996","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: 3