2017 IEEE International Conference on Communications Workshops (ICC Workshops)最新文献_第3页

Network slicing with flexible mobility and QoS/QoE support for 5G Networks 具有灵活移动性和QoS/QoE支持的5G网络网络切片

2017 IEEE International Conference on Communications Workshops (ICC Workshops) Pub Date : 2017-05-21 DOI: 10.1109/ICCW.2017.7962821

F. Z. Yousaf, M. Gramaglia, V. Friderikos, B. Gajic, D. Hugo, B. Sayadi, Vincenzo Sciancalepore, Marcos Rates Crippa

引用次数: 42

Sparse Bayesian RVM regression based channel estimation for IM/DD OFDM-VLC systems with reduced training overhead 基于稀疏贝叶斯RVM回归的IM/DD OFDM-VLC系统信道估计

2017 IEEE International Conference on Communications Workshops (ICC Workshops) Pub Date : 2017-05-21 DOI: 10.1109/ICCW.2017.7962651

Chen Chen, W. Zhong, Lifan Zhao

{"title":"Sparse Bayesian RVM regression based channel estimation for IM/DD OFDM-VLC systems with reduced training overhead","authors":"Chen Chen, W. Zhong, Lifan Zhao","doi":"10.1109/ICCW.2017.7962651","DOIUrl":"https://doi.org/10.1109/ICCW.2017.7962651","url":null,"abstract":"We propose a novel channel estimation technique for intensity modulation/direct detection (IM/DD) based orthogonal frequency division multiplexing visible light communication (OFDM-VLC) systems, utilizing sparse Bayesian dual-variate relevance vector machine (RVM) regression. By exploiting sparse Bayesian framework, dual-variate RVM regression can provide accurate estimation of the real and imaginary parts of the complex channel response, and therefore the channel response can be estimated to perform channel compensation. Simulation results show that a 200 Mb/s OFDM-VLC system using sparse Bayesian RVM regression based channel estimation with only one complex training symbol (TS) achieves nearly the same bit error rate (BER) performance as the system using conventional time domain averaging (TDA) based channel estimation with a total of 20 complex TSs, indicating a significant reduction of training overhead. Moreover, by employing a fast marginal likelihood maximization method, the sparse Bayesian RVM regression based channel estimation can be computational efficient for practical application in high-speed OFDM-VLC systems.","PeriodicalId":6656,"journal":{"name":"2017 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"192 1","pages":"162-167"},"PeriodicalIF":0.0,"publicationDate":"2017-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79632059","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

Secrecy analysis in visible light communication systems with randomly located eavesdroppers 随机窃听器可见光通信系统的保密性分析

2017 IEEE International Conference on Communications Workshops (ICC Workshops) Pub Date : 2017-05-21 DOI: 10.1109/ICCW.2017.7962703

Sunghwan Cho, Gaojie Chen, J. Coon

引用次数: 19

Sleep scheduling for critical nodes in group-based industrial wireless sensor networks 基于群的工业无线传感器网络关键节点睡眠调度

2017 IEEE International Conference on Communications Workshops (ICC Workshops) Pub Date : 2017-05-21 DOI: 10.1109/ICCW.2017.7962739

Di Wang, M. Mukherjee, Lei Shu, Yu Chen, G. Hancke

引用次数: 5

A spatial dimming scheme based on transmit antenna selection for multiuser MISO VLC systems 基于发射天线选择的多用户MISO VLC系统空间调光方案

2017 IEEE International Conference on Communications Workshops (ICC Workshops) Pub Date : 2017-05-21 DOI: 10.1109/ICCW.2017.7962626

Zhen Feng, Caili Guo, Yang Yang, Chunyan Feng

引用次数: 3

Adaptive Load Balanced Routing in heterogeneous IoT networks 异构物联网网络中的自适应负载均衡路由

2017 IEEE International Conference on Communications Workshops (ICC Workshops) Pub Date : 2017-05-21 DOI: 10.1109/ICCW.2017.7962722

Vijeth J. Kotagi, Fateh Singh, C. Siva Ram Murthy

{"title":"Adaptive Load Balanced Routing in heterogeneous IoT networks","authors":"Vijeth J. Kotagi, Fateh Singh, C. Siva Ram Murthy","doi":"10.1109/ICCW.2017.7962722","DOIUrl":"https://doi.org/10.1109/ICCW.2017.7962722","url":null,"abstract":"The emerging Internet of Things (IoT) involves integrating and forwarding data generated by heterogeneous sensing devices (IoT devices). The data is sent using various wireless technologies to application servers present in the IoT cloud via intermediate gateways. Using traditional routing techniques to connect millions of IoT devices to the Internet result in congestion and overloading of gateways leading to drop in throughput of IoT networks. To improve the throughput, the use of multiple wireless technologies for parallel data transmission known as Parallel Opportunistic Routing (POR) has been proposed in the literature. However, in POR the data from a source gateway to the Internet always follows the same path. This leads to congestion in certain gateways which in turn affects the throughput. Therefore, in this paper, we propose an adaptive and load balanced routing technique called Adaptive Routing using Multi-technologY and Load balancer (ARMY-Lancer) for maximizing IoT networks' throughput by distributing the load across the network. Through extensive simulations, we show that ARMY-Lancer outperforms POR and load balanced routing using a single technology in terms of network throughput and average load across the gateways.","PeriodicalId":6656,"journal":{"name":"2017 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"67 1","pages":"589-594"},"PeriodicalIF":0.0,"publicationDate":"2017-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83951192","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: 17

Ratio adjustable channel hopping enhancement for heterogeneous cognitive radio networks 异构认知无线网络的可调信道跳频增强

2017 IEEE International Conference on Communications Workshops (ICC Workshops) Pub Date : 2017-05-21 DOI: 10.1109/ICCW.2017.7962804

C. Chao, Chia-Tsun Chen

{"title":"Ratio adjustable channel hopping enhancement for heterogeneous cognitive radio networks","authors":"C. Chao, Chia-Tsun Chen","doi":"10.1109/ICCW.2017.7962804","DOIUrl":"https://doi.org/10.1109/ICCW.2017.7962804","url":null,"abstract":"In a cognitive radio network (CRN), a premise for two nodes to communicate is having a rendezvous which means that they switch to the same channel simultaneously. Most existing channel hopping solutions for the rendezvous problem is for a homogeneous CRN where nodes have the same type of cognitive radio and thus can sense the same spectrum. In reality, nodes have different types of cognitive radios and hence the spectrums being sensed are different. In such a heterogeneous CRN, designing a channel hopping mechanism to provide rendezvous guarantee is challenging. Besides, while determining the channel hopping sequences, existing channel hopping protocols enable nodes to switch to different channels with predefined channel hopping sequences. Such mechanisms are suboptimal since they do not consider different channel conditions. In this paper, we propose a ratio adjustable channel hopping protocol (RACH) for heterogeneous CRNs. RACH provides rendezvous guarantee between any pair of nodes and enables a node to dynamically adjust the ratio of each channel being used. Nodes running RACH use three consecutive odd numbers to determine the schedule for a particular channel. Utilizing the property that two different sets of three consecutive odd numbers are relatively primes, RACH provides rendezvous guarantee for two nodes on each channel. RACH allows nodes to change the set of consecutive odd numbers to adjust the ratio of a channel being switched to. Such a mechanism enables a node to tune to a better channel more frequently to enhance its rendezvous probability to other nodes. Simulation results verify that RACH improves network performance in terms of time to rendezvous and throughput when compared with an existing channel hopping protocol for heterogeneous CRNs.","PeriodicalId":6656,"journal":{"name":"2017 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"11 1","pages":"1093-1098"},"PeriodicalIF":0.0,"publicationDate":"2017-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83662957","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

Fuzzy logic game-theoretic approach for energy efficient operation in HetNets HetNets节能运行的模糊逻辑博弈论方法

2017 IEEE International Conference on Communications Workshops (ICC Workshops) Pub Date : 2017-05-21 DOI: 10.1109/ICCW.2017.7962716

K. Vasudeva, S. Dikmese, Ismail Güvenç, A. Mehbodniya, W. Saad, F. Adachi

引用次数: 12

Including artificial intelligence in a routing protocol using Software Defined Networks 在使用软件定义网络的路由协议中包括人工智能

2017 IEEE International Conference on Communications Workshops (ICC Workshops) Pub Date : 2017-05-21 DOI: 10.1109/ICCW.2017.7962735

S. Sendra, A. Rego, Jaime Lloret, J. M. Jiménez, Óscar Romero

引用次数: 81

The 3GPP NB-IoT system architecture for the Internet of Things 面向物联网的3GPP NB-IoT系统架构

2017 IEEE International Conference on Communications Workshops (ICC Workshops) Pub Date : 2017-05-21 DOI: 10.1109/ICCW.2017.7962670

A. Díaz, P. Merino

引用次数: 100