Measurement-Based Modeling of Wireless Propagation Channels - MIMO and UWB

作者: Johan Kåredal

DOI:

关键词:

摘要: Future wireless systems envision higher speeds and more reliable services but at the same time face challenges in terms of bandwidth being a limited resource. Two promising techniques that can provide an increased throughput without requiring additional allocation are multiple-input multiple-output (MIMO) ultra-wideband (UWB) systems. However, performance such is highly dependent on properties propagation channel, understanding channel therefore crucial design future Examples covered by this thesis personal area networks (papers I II), vehicle-to-vehicle communications (paper III), board-to-board inside computers IV) sensor for industrial applications V). Typically, models used to evaluate different transmission reception schemes. Channel modeling focus thesis, which contains collection papers analyze model behavior MIMO UWB channels. Paper investigates fading characteristics (PANs), typically involve human influence close antenna terminals. Based extensive measurements using irregular arrays, typical PAN channels discussed complete single link presented. II extends from paper model. The combines classical LOS with results prescribing statistics mean power elements. verified against measurement data also provides parameterization example scenario. III presents geometry-based stochastic communications. most important effects based measurements, approach motivated non-stationary distinguishes between diffuse contributions those stemming interaction significant objects observed latter stochastically accounted IV gives characterization desktop computer chassis. By studying two computers, it concluded only shows minor differences positions within It found out interference produced certain subbands, suggesting multiband suitable type applications. V describes first environment. Analyzing factory halls, energy arrives receiver clusters, motivates use multi-cluster describe impulse response. Parts were as input IEEE 802.15.4a standardization work. In summary, work leads providing three detailed simulation models, one UWB, thus contribute efficient tomorrow. (Less)

参考文章(82)
Jeffrey K. Hollingsworth, Bart Miller, Instrumentation and measurement Journal of Grid Computing. pp. 339- 365 ,(1998)
P. Pagani, P. Pajusco, Experimental assessment of the UWB channel variability in a dynamic indoor environment personal, indoor and mobile radio communications. ,vol. 4, pp. 2973- 2977 ,(2004) , 10.1109/PIMRC.2004.1368865
Guerino Giancola, Maris-Garbriella Di Benedetto, Understanding Ultra Wide Band Radio Fundamentals ,(2004)
Arogyaswami Paulraj, Rohit Nabar, Dhananjay Gore, Introduction to Space-Time Wireless Communications ,(2003)
C.J. Le Martret, G.B. Giannakis, All-digital PPM impulse radio for multiple-access through frequency-selective multipath sensor array and multichannel signal processing workshop. pp. 22- 26 ,(2000) , 10.1109/SAM.2000.877960
C. Duan, G. Pekhteryev, J. Fang, Y. Nakache, J. Zhang, K. Tajima, Y. Nishioka, H. Hirai, Transmitting multiple HD video streams over UWB links consumer communications and networking conference. ,vol. 2, pp. 691- 695 ,(2006) , 10.1109/CCNC.2006.1593126
Rahul Patel, Plug-and-play ,(1997)
MINORU NAKAGAMI, The m-Distribution—A General Formula of Intensity Distribution of Rapid Fading Statistical Methods in Radio Wave Propagation#R##N#Proceedings of a Symposium Held at the University of California, Los Angeles, June 18–20, 1958. pp. 3- 36 ,(1960) , 10.1016/B978-0-08-009306-2.50005-4