2016 16th International Symposium on Communications and Information Technologies (ISCIT)最新文献

Improved quality-based channel state feedback scheme in multicast systems with greedy scheduling 贪婪调度多播系统中改进的基于质量的信道状态反馈方案

2016 16th International Symposium on Communications and Information Technologies (ISCIT) Pub Date : 2016-11-21 DOI: 10.1109/ISCIT.2016.7751594

Hang Li, Xiaojing Huang, Y. J. Guo, Xiaojing Huang

引用次数: 1

Classification of animals and people based on radio-sensor network 基于无线电传感器网络的动物和人的分类

2016 16th International Symposium on Communications and Information Technologies (ISCIT) Pub Date : 2016-11-21 DOI: 10.1109/ISCIT.2016.7751603

Yi Zhong, Zheng Zhou, Ting Jiang, M. Heimlich, E. Dutkiewicz, Gengfa Fang

引用次数: 2

Novel pilot decontamination methods for Massive MIMO systems under practical scenarios 实际场景下大规模MIMO系统的新型中导去污方法

2016 16th International Symposium on Communications and Information Technologies (ISCIT) Pub Date : 2016-11-21 DOI: 10.1109/ISCIT.2016.7751595

Qingqing Cheng, Gengfa Fang, Diep N. Nguyen, E. Dutkiewicz

{"title":"Novel pilot decontamination methods for Massive MIMO systems under practical scenarios","authors":"Qingqing Cheng, Gengfa Fang, Diep N. Nguyen, E. Dutkiewicz","doi":"10.1109/ISCIT.2016.7751595","DOIUrl":"https://doi.org/10.1109/ISCIT.2016.7751595","url":null,"abstract":"Accurate and efficient channel estimation methods have the ability to realize the theoretical gain in multi-input multi-output (Massive MIMO) systems which have a massive number of antennas. However, the pilot contamination in Massive MIMO channel estimation process, rooted from the pilot reuse, is a critical problem that severely degrades the performance of the system. This work aims to address the problem of pilot contamination in covariance-aided channel estimation methods while considering practical scenarios where the channel covariance matrices change due to a new user arrival and users mobility. To that end, we first design a method to track the channel covariance matrices and then use these estimated values in Bayesian estimation. Simulation results indicate that the normalized mean square error (NMSE) for both channel covariance matrices and the CSI itself of our proposed methods are much lower than those of classical methods based on least square (LS) and Bayesian estimation. Additionally, for the case that users move slowly (e.g., at walking speed), our proposed method can provide satisfactory performance for more than three times as much as classical Bayesian estimation before system re-train channel covariance matrices. In other words, compared with classical Bayesian methods, our proposed methods are able to get good system performance with less overhead and complexity by a lower frequency of re-training process.","PeriodicalId":240381,"journal":{"name":"2016 16th International Symposium on Communications and Information Technologies (ISCIT)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126412089","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: 1

A quantum inspired evolutionary algorithm for dynamic multicast routing with network coding 基于网络编码的动态组播路由量子进化算法

2016 16th International Symposium on Communications and Information Technologies (ISCIT) Pub Date : 2016-09-28 DOI: 10.1109/ISCIT.2016.7751618

Huanlai Xing, Lexi Xu, R. Qu, Zhijian Qu

引用次数: 7

Research on intelligent dynamic loading mechanism of mobile applications 移动应用智能动态加载机制研究

2016 16th International Symposium on Communications and Information Technologies (ISCIT) Pub Date : 2016-09-01 DOI: 10.1109/ISCIT.2016.7751720

Junjie Zhong, Chen Liu, Jiapeng Xiu, Zhengqiu Yang

引用次数: 0

An interference management algorithm using big data analytics in LTE cellular networks LTE蜂窝网络中使用大数据分析的干扰管理算法

2016 16th International Symposium on Communications and Information Technologies (ISCIT) Pub Date : 2016-09-01 DOI: 10.1109/ISCIT.2016.7751630

Jie Gao, Xinzhou Cheng, Lexi Xu, Haina Ye

引用次数: 32

User-relay assignment for amplify-and-forward cooperative communication systems 放大转发协作通信系统的用户中继分配

2016 16th International Symposium on Communications and Information Technologies (ISCIT) Pub Date : 2016-09-01 DOI: 10.1109/ISCIT.2016.7751586

Y. Su, Zhiquan Bai, Shanshan Peng, Shangqian Sun, T. Han, K. Kwak

引用次数: 1

Adaptive energy-efficient and QoE-aware optimization method for mobile video services 移动视频业务的自适应节能和qos感知优化方法

2016 16th International Symposium on Communications and Information Technologies (ISCIT) Pub Date : 2016-09-01 DOI: 10.1109/ISCIT.2016.7751657

Shiyu Zhou, Meng Ran, Zhaoming Lu

引用次数: 4

Method and prospect of earthquake signal 地震信号的方法与展望

2016 16th International Symposium on Communications and Information Technologies (ISCIT) Pub Date : 2016-09-01 DOI: 10.1109/ISCIT.2016.7751665

Jingsong Yang, Han Wang, Zhenjing Yao, Juan Meng, Yanan Li, Zhiming Han

引用次数: 0

RNA secondary structure prediction with coincidence algorithm 基于重合算法的RNA二级结构预测

2016 16th International Symposium on Communications and Information Technologies (ISCIT) Pub Date : 2016-09-01 DOI: 10.1109/ISCIT.2016.7751721

Supawadee Srikamdee, Warin Wattanapornprom, P. Chongstitvatana

{"title":"RNA secondary structure prediction with coincidence algorithm","authors":"Supawadee Srikamdee, Warin Wattanapornprom, P. Chongstitvatana","doi":"10.1109/ISCIT.2016.7751721","DOIUrl":"https://doi.org/10.1109/ISCIT.2016.7751721","url":null,"abstract":"The main function of RNA is to translate genetic information of DNA into proteins. Understanding structure of RNA helps understanding the mechanism of actions within the cell. It is widely believed that the functions of bimolecular are dictated by its structure. This paper employs a RNA primary structure as an input and predicts its secondary structure by finding all possible helices in a RNA sequence. The problem is modelled as a combinatorial optimization problem. The objective is to find the combination of helices that forms the RNA secondary structure that has minimum free energy calculated via Individual Nearest Neighbor Hydrogen Bond model (INN-HB). This paper proposes an effective evolutionary algorithm, Coincidence Algorithm, to solve this problem. The ten known RNA sequences, a variety of lengths and various different organisms, are used to test the proposed method in terms of specificity, sensitivity and F-measure. The results are compared with others heuristic methods: RnaPredict and SARNA-Predict. The experimental results show that, on average, the proposed method outperforms RnaPredict and SARNA-Predict in all measures.","PeriodicalId":240381,"journal":{"name":"2016 16th International Symposium on Communications and Information Technologies (ISCIT)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115582624","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: 10