2010 2nd IEEE InternationalConference on Network Infrastructure and Digital Content最新文献

Subcarrier and power allocation in cognitive OFDM systems under imperfect CSI with smart channel estimation 基于智能信道估计的认知OFDM系统的子载波和功率分配

2010 2nd IEEE InternationalConference on Network Infrastructure and Digital Content Pub Date : 2010-12-06 DOI: 10.1109/ICNIDC.2010.5659458

Xu Mao, Hong Ji

{"title":"Subcarrier and power allocation in cognitive OFDM systems under imperfect CSI with smart channel estimation","authors":"Xu Mao, Hong Ji","doi":"10.1109/ICNIDC.2010.5659458","DOIUrl":"https://doi.org/10.1109/ICNIDC.2010.5659458","url":null,"abstract":"Cognitive radio (CR) employing OFDM has drawn many interests in designing efficient radio resource allocation schemes. Most of the existing works considered the cognitive scenario under perfect knowledge of system state, such as channel state information (CSI) and sensing information (SI). However, it is serious to properly regulate the interference caused by secondary users (SUs) to each primary user (PU). In this paper, we focus on the design and analysis of subcarrier and power allocation scheme under imperfect CSI for cognitive OFDM systems. A smart way using training preamble is presented to obtain the CSI of Rayleigh block-fading channel between the transmitter and receiver. During the training phase, the receiver estimates the channel and feeds the estimate back to the transmitter. During the transmission phase, a two-step algorithm for capacity maximization is proposed to obtain the subcarrier assignment and power allocation for each SU. It is shown by extensive simulation and analysis that, by increasing the number of training symbols, the total capacity can be largely enhanced.","PeriodicalId":348778,"journal":{"name":"2010 2nd IEEE InternationalConference on Network Infrastructure and Digital Content","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121592988","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

Performance bounds for a cognitive radio network with network calculus analysis 基于网络演算分析的认知无线网络性能边界

2010 2nd IEEE InternationalConference on Network Infrastructure and Digital Content Pub Date : 2010-12-06 DOI: 10.1109/ICNIDC.2010.5659456

Yuehong Gao, Yuming Jiang, Tao Lin, Xin Zhang

引用次数: 8

Spectrum leasing via selective cooperation in distributed cognitive radio networks 分布式认知无线电网络中基于选择性合作的频谱租赁

2010 2nd IEEE InternationalConference on Network Infrastructure and Digital Content Pub Date : 2010-12-06 DOI: 10.1109/ICNIDC.2010.5659459

Biling Zhang, Kai Chen, Xuerong Gou, Shiduan Cheng

引用次数: 5

Secondary user dominated channel reservation in Cognitive Radio 认知无线电中二级用户主导的信道预留

2010 2nd IEEE InternationalConference on Network Infrastructure and Digital Content Pub Date : 2010-12-06 DOI: 10.1109/ICNIDC.2010.5659457

Shoufeng Wang, Fan Li, Weidong Wang, Ben Wang, Yinghai Zhang

引用次数: 4

A new denoising method for DS-UWB signal based on wavelet transform modulus maximum 基于小波变换模极大值的DS-UWB信号去噪方法

2010 2nd IEEE InternationalConference on Network Infrastructure and Digital Content Pub Date : 2010-12-03 DOI: 10.1109/ICNIDC.2010.5657856

Y. Peng, C. Bai, Qingyan Zhang

引用次数: 2

Signaling Reduction for inter-RAT cell reselection rat细胞间重选的信号传导减少

2010 2nd IEEE InternationalConference on Network Infrastructure and Digital Content Pub Date : 2010-12-03 DOI: 10.1109/ICNIDC.2010.5657803

Yuxuan Li, Hongbo Mo, Xinning Zhu, Zhimin Zeng

引用次数: 0

An effective luggage searching system based on image classification and retrieval 一种有效的基于图像分类与检索的行李检索系统

2010 2nd IEEE InternationalConference on Network Infrastructure and Digital Content Pub Date : 2010-12-03 DOI: 10.1109/ICNIDC.2010.5657846

Feng Rao, Yanyun Zhao, A. Cai

引用次数: 0

Interference estimation between Home NodeBs for voice services in TDD TDD中语音业务的主节点间干扰估计

2010 2nd IEEE InternationalConference on Network Infrastructure and Digital Content Pub Date : 2010-12-03 DOI: 10.1109/ICNIDC.2010.5657821

Feng Wan, Wenyu Li, Yu Liu, Lin Zhang, Zhuocheng Jiang, Haiman Cai

引用次数: 0

A-PLR: Accumulative backup of mapping information for power loss recovery A-PLR:用于断电恢复的映射信息累积备份

2010 2nd IEEE InternationalConference on Network Infrastructure and Digital Content Pub Date : 2010-12-03 DOI: 10.1109/ICNIDC.2010.5657783

Sangyong Lee, Sanghyuk Jung, Y. Song

引用次数: 2

SemAC algorithm based on the tag semantic distance in network service information extraction 基于SemAC算法的标签语义距离在网络服务信息提取中的应用

2010 2nd IEEE InternationalConference on Network Infrastructure and Digital Content Pub Date : 2010-12-03 DOI: 10.1109/ICNIDC.2010.5657798

Xiaochun Wu, Qiuchen Xu, Zhi Zhang, Gang He

{"title":"SemAC algorithm based on the tag semantic distance in network service information extraction","authors":"Xiaochun Wu, Qiuchen Xu, Zhi Zhang, Gang He","doi":"10.1109/ICNIDC.2010.5657798","DOIUrl":"https://doi.org/10.1109/ICNIDC.2010.5657798","url":null,"abstract":"The paper analyzed the methods of extracting information from the network traffic, among which the information extraction based on the Tag marker was studied in depth. Tags, which contain specific core words, can be considered as markers of different types of information. Due to the non-standardized nature the Tag marker, a Tag often has lots of interference characters and the traditional pattern matching algorithm may leads to mismatch or poor performance. After analyzing the network service tag characteristics, we presented the Tag word segmenting method and the concept of Tag semantic distance. By introducing the tag semantic distance concept, we improved the Aho-Corasick algorithm to identify the tags which we concerned in extracting network service information. This improved algorithm, SemAC, is based on tag words segmenting and semantic distance calculation by dual-way scanning on words-map. Using this improved AC algorithm based on pre-defined core words, we successfully identified the tags and extracted what we need from the packets stream of web sites. At the end of this paper time complexity is analyzed.","PeriodicalId":348778,"journal":{"name":"2010 2nd IEEE InternationalConference on Network Infrastructure and Digital Content","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114468220","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