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International Journal of Antennas and Propagation Radio Wave Propagation and Wireless Channel Modeling Guest Editors: Ai Bo, Thomas Kürner, César Briso Rodríguez, and Hsiao-Chun Wu Radio Wave Propagation and Wireless Channel Modeling International Journal of Antennas and Propagation Radio Wave Propagation and Wireless Channel Modeling Guest Editors: Ai Bo, Thomas Kurner,¨ Cesar´ Briso Rodr´ıguez, and Hsiao-Chun Wu Copyright © 2013 Hindawi Publishing Corporation. All rights reserved. This is a special issue published in “International Journal of Antennas and Propagation.” All articles are open access articles distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, pro- vided the original work is properly cited. Editorial Board M. Ali, USA Nemai Karmakar, Australia Sadasiva M. Rao, USA Charles Bunting, USA Se-Yun Kim, Republic of Korea Sembiam R. Rengarajan, USA Felipe Catedra,´ Spain Ahmed A. Kishk, Canada Ahmad Safaai-Jazi, USA Dau-Chyrh Chang, Taiwan Tribikram Kundu, USA Safieddin Safavi Naeini, Canada Deb Chatterjee, USA Byungje Lee, Republic of Korea Magdalena Salazar-Palma, Spain Z. N. Chen, Singapore Ju-Hong Lee, Taiwan Stefano Selleri, Italy Michael Yan Wah Chia, Singapore L. Li, Singapore Krishnasamy T. Selvan, India Christos Christodoulou, USA Yilong Lu, Singapore Zhongxiang Q. Shen, Singapore Shyh-Jong Chung, Taiwan Atsushi Mase, Japan John J. Shynk, USA Lorenzo Crocco, Italy Andrea Massa, Italy Seong-Youp Suh, USA Tayeb A. Denidni, Canada Giuseppe Mazzarella, Italy Parveen Wahid, USA Antonije R. Djordjevic, Serbia Derek McNamara, Canada Yuanxun Ethan Wang, USA Karu P. Esselle, Australia C. F. Mecklenbrauker,¨ Austria Daniel S. Weile, USA Francisco Falcone, Spain Michele Midrio, Italy Quan Xue, Hong Kong Miguel Ferrando, Spain Mark Mirotznik, USA Tat Soon Yeo, Singapore Vincenzo Galdi, Italy Ananda S. Mohan, Australia Jong Won Yu, Republic of Korea Wei Hong, China P. Mohanan, India Wenhua Yu, USA Hon Tat Hui, Singapore Pavel Nikitin, USA Anping Zhao, China TamerS.Ibrahim,USA A. D. Panagopoulos, Greece Lei Zhu, Singapore Shyh-Kang Jeng, Taiwan Matteo Pastorino, Italy Mandeep Jit Singh, Malaysia Massimiliano Pieraccini, Italy Contents Radio Wave Propagation and Wireless Channel Modeling,AiBo,ThomasKurner,¨ Cesar´ Briso Rodr´ıguez, and Hsiao-Chun Wu Volume 2013, Article ID 835160, 3 pages Quantification of Scenario Distance within Generic WINNER Channel Model, Milan Narandziˇ c,´ Christian Schneider, Wim Kotterman, and Reiner S. Thoma¨ Volume 2013, Article ID 176704, 17 pages ATradeoff between Rich Multipath and High Receive Power in MIMO Capacity, Zimu Cheng, Binghao Chen, and Zhangdui Zhong Volume 2013, Article ID 864641, 7 pages Outage Analysis of Train-to-Train Communication Model over Nakagami-m Channel in High-Speed Railway, Pengyu Liu, Xiaojuan Zhou, and Zhangdui Zhong Volume 2013, Article ID 617895, 10 pages A Novel Train-to-Train Communication Model Design Based on Multihop in High-Speed Railway, Pengyu Liu, Bo Ai, Zhangdui Zhong, and Xiaojuan Zhou Volume 2012, Article ID 475492, 9 pages State Modelling of the Land Mobile Propagation Channel with Multiple Satellites, Daniel Arndt, Alexander Ihlow, Albert Heuberger, and Ernst Eberlein Volume 2012, Article ID 625374, 15 pages Fading Analysis for the High Speed Railway Viaduct and Terrain Cutting Scenarios, Jinghui Lu, Gang Zhu, and Bo Ai Volume 2012, Article ID 862945, 9 pages Impact of Ship Motions on Maritime Radio Links,WilliamHubert,Yvon-MarieLeRoux,MichelNey, and Anne Flamand Volume 2012, Article ID 507094, 6 pages Propagation Mechanism Modeling in the Near-Region of Arbitrary Cross-Sectional Tunnels,KeGuan, Zhangdui Zhong, Bo Ai, Ruisi He, Yuanxuan Li, and Cesar´ Briso Rodr´ıguez Volume 2012, Article ID 183145, 11 pages Statistical Modeling of Ultrawideband Body-Centric Wireless Channels Considering Room Volume, Miyuki Hirose, Hironobu Yamamoto, and Takehiko Kobayashi Volume 2012, Article ID 150267, 10 pages Performance Evaluation of Closed-Loop Spatial Multiplexing Codebook Based on Indoor MIMO Channel Measurement, Junjun Gao, Jianhua Zhang, Yanwei Xiong, Yanliang Sun, and Xiaofeng Tao Volume 2012, Article ID 701985, 10 pages Construction and Capacity Analysis of High-Rank LoS MIMO Channels in High Speed Railway Scenarios, Jingya Yang, Bo Ai, and Zhangdui Zhong Volume 2012, Article ID 423759, 7 pages Influence of Training Set Selection in Artificial Neural Network-Based Propagation Path Loss Predictions,IgnacioFernandez´ Anitzine, Juan Antonio Romo Argota, and Fernado Perez´ Fontan´ Volume 2012, Article ID 351487, 7 pages On the Statistical Properties of Nakagami-Hoyt Vehicle-to-Vehicle Fading Channel under Nonisotropic Scattering, Muhammad Imran Akram and Asrar U. H. Sheikh Volume 2012, Article ID 179378, 12 pages Efficient Rank-Adaptive Least-Square Estimation and Multiple-Parameter Linear Regression Using Novel Dyadically Recursive Hermitian Matrix Inversion, Hsiao-Chun Wu, Shih Yu Chang, Tho Le-Ngoc, and Yiyan Wu Volume 2012, Article ID 891932, 10 pages Geometry-Based Stochastic Modeling for MIMO Channel in High-Speed Mobile Scenario, Binghao Chen and Zhangdui Zhong Volume 2012, Article ID 184682, 6 pages Radio Wave Propagation Scene Partitioning for High-Speed Rails, Bo Ai, Ruisi He, Zhangdui Zhong, Ke Guan, Binghao Chen, Pengyu Liu, and Yuanxuan Li Volume 2012, Article ID 815232, 7 pages NECOP Propagation Experiment: Rain-Rate Distributions Observations and Prediction Model Comparisons,J.S.OjoandS.E.Falodun Volume 2012, Article ID 913596, 4 pages Hindawi Publishing Corporation International Journal of Antennas and Propagation Volume 2013, Article ID 835160, 3 pages http://dx.doi.org/10.1155/2013/835160 Editorial Radio Wave Propagation and Wireless Channel Modeling Ai Bo,1 Thomas Kürner,2 César Briso Rodríguez,3 and Hsiao-Chun Wu4 1 State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China 2 Technische Universitat¨ Braunschweig, Braunschweig 38106, Germany 3 Universidad Politecnica de Madrid, Madrid 28031, Spain 4 Louisiana State University, LA 70803, USA Correspondence should be addressed to Ai Bo; [email protected] Received 25 November 2012; Accepted 25 November 2012 Copyright © 2013 Ai Bo et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Mechanisms about radio wave propagation are the basis for WINNER scenarios with multivariate normal distributions wireless channel modeling. Typical wireless channel models and then uses the mean Kullback-Leibler divergence to for typical scenarios are of great importance to the physical quantify the divergence. The results show that the WINNER layer techniques such as synchronization, channel estima- scenario groups (A, B, C, D) or propagation classes (LoS, tion, and equalization. Nowadays, many channel models NLoS) do not necessarily ensure minimum separation within concerned with either large-scale modeling and small-scale the groups/classes. The computation of the divergence of the fast fading models have been established. However, with actual measurements and WINNER scenarios confirms that the development of some new techniques such as mul- the parameters of the C2 scenario in WINNER series are tiuser MIMO systems, vehicle-to-vehicle technique, wireless a proper reference for a large variety of urban macrocell relay technique, and short-distance or short-range technique, environments. novel wireless channel models should be developed to cater The paper “Fading analysis for the high speed railway for these new applications. As for this special issue, we viaduct and terrain cutting scenarios” provides a good under- cordially invite some researchers to contribute papers that standing of fading characteristics in HSR environment based will stimulate the continuing efforts to understand the mech- on the measurements taken in both high-speed viaduct anisms about radio wave propagations and wireless channel and terrain cutting scenarios using track side base stations. models under variant scenarios. This special issue provides Kolmogorov-Smirnov (K-S) test has been first introduced the state-of-the-art research in mobile wireless channels. in the statistical analysis to find out the most appropriate As we know, scene partitioning is the premise and basis model for the small-scale fading envelope. Some important for wireless channel modeling. The paper titledRadio “ wave conclusions are drawn: though both Rice and Nakagami propagation scene partitioning for high-speed rails”discusses distributions provide a good fit to the first-order envelope the scene partitioning for high-speed rail (HSR) scenarios. data in both scenarios, only the Rice model generally fits Based on the measurements along HSR lines with 300 km/h the second-order statistics data accurately. For the viaduct operation speed in China, the authors partitioned the HSR scenario, higher Rice K factor can be observed. The change sceneintotwelvescenarios.Furtherworkbasedontheoret- tendency of the K factor as a function of distance in the two ical analysis of radio wave propagation mechanisms, such as scenarios is completely different. reflection and diffraction, may lead to develop the standard The paper “Propagation mechanism modeling in the near- of radio wave propagation scene partitioning for HSR. region of arbitrary cross-sectional tunnels”talksaboutthe The
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