Fractal theory based dynamic mesh grouping scheme for efficient cognitive pilot channel design  

作　　者：FENG ZhiYong WEI ZhiQing ZHANG QiXun ZHANG Ping 

机构地区：[1]Wireless Technology Innovation Institute(WTI),Key Laboratory of Universal Wireless Communications,Ministry of Education,Beijing University of Posts and Telecommunications,Beijing 100876,China

出　　处：《Chinese Science Bulletin》2012年第28期3684-3690,共7页

基　　金：supported by the National Basic Research Program of China (2009CB320400);the National Natural Science Foundation of China(60832009,61121001);the Program for New Century Excellent Talents in University (NCET-01-0259);the National Science and Technology Major Project of China (2012ZX03003006)

摘　　要：As one of the key characteristics in cognitive wireless networks(CWNs),network environment awareness techniques have received much attention recently.Instead of traditional spectrum sensing technology that suffers from problems of miss detection,false alarm,hidden node,and inefficiency,cognitive pilot channel(CPC) technology has been proposed as one of the candidate solutions for an efficient and accurate network information delivery scheme to user equipment(UE).The aim of the CPC technology is to provide the necessary information for the reconfiguration of the UE using the public signaling channel.To ensure the efficient information delivery,the whole geographical area covered by the CPC is divided into square meshes of the same size.Moreover,two typical network information transmission modes for CPC deployment are also proposed:broadcast CPC mode and on-demand CPC mode.To further improve the efficiency of network information delivery,an efficient dynamic mesh grouping scheme has been designed which is based on the fractal theory for the broadcast CPC mode,where adaptive rectangular sized meshes are used to approximately cover the whole area.Compared to the traditional fixed size mesh division strategy,results show that the proposed dynamic mesh grouping scheme significantly reduces the number of meshes by grouping similar meshes together,and the average delay of receiving CPC information on the UE side is therefore reduced.As one of the key characteristics in cognitive wireless networks （CWNs）, network environment awareness techniques have re- ceived much attention recently. Instead of traditional spectrum sensing technology that suffers from problems of miss detection, false alarm, hidden node, and inefficiency, cognitive pilot channel （CPC） technology has been proposed as one of the candidate solutions for an efficient and accurate network information delivery scheme to user equipment （UE）. The aim of the CPC tech- nology is to provide the necessary information for the reconfiguration of the UE using the public signaling channel. To ensure the efficient information delivery, the whole geographical area covered by the CPC is divided into square meshes of the same size. Moreover, two typical network information transmission modes for CPC deployment are also proposed： broadcast CPC mode and on-demand CPC mode. To further improve the efficiency of network information delivery, an efficient dynamic mesh grouping scheme has been designed which is based on the fractal theory for the broadcast CPC mode, where adaptive rectangular sized meshes are used to approximately cover the whole area. Compared to the traditional fixed size mesh division strategy, results show that the proposed dynamic mesh grouping scheme significantly reduces the number of meshes by grouping similar meshes together, and the average delay of receiving CPC information on the UE side is therefore reduced.

关 键 词：分形理论 导频信道 动态网 分组 设计 无线网络 信息传送 方形网格 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论] O18[自动化与计算机技术—计算机科学与技术]