Space-Time Channel Modeling for Wireless Communications
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Editorial Space-Time Channel Modeling for Wireless Communications ´ Thushara Abhayapala,1 Merouane Debbah,2 and Rodney A. Kennedy3 1 Research
School of Information Sciences and Engineering, The Australian National University, Canberra, ACT 0200, Australia Communications Department, Eur´ecom Institute, 2229 Route des Crˆetes, 06904 Sophia Antipolis, France 3 Wireless Signal Processing Program, National ICT Australia (NICTA), Canberra, ACT 2601, Australia 2 Mobile
Received 12 December 2007; Accepted 12 December 2007 Copyright © 2007 Thushara Abhayapala 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.
The relatively recent surge in activity centered around multiple-input multiple-output (MIMO) techniques for wireless communications is based on capacity gains obtained by more fully exploiting the spatial and temporal aspects of wireless channels. The early indications moving to the use of multiple transmitters and multiple receiver elements could lead to quite significant performance improvements that were based on theoretical studies which made quite idealistic simplifying assumptions about the MIMO channel. Although an understanding of the likely channel models to be found in practice was incomplete, even a modest portion of the promised MIMO gains would lead to significant performance improvements. This has been manifested by the successful deployment of new wireless standards that have MIMO products alreadyin the marketplace. Although theoretical studies can well define theupper limits to the capacity gains of MIMO, it is of interest to know how much of that limiting performance can be obtained under realistic channel conditions. This naturally leads to two classes of investigation: significant measurement studies of using MIMO in different real environments and development of more refined theoretical models that incorporate, in their structural aspects, what is either observed in practice or expected in practice. This highlights the important ongoing role that research into space-time channel modeling plays in understanding what is practicallyachievable by MIMO techniques. The goal of this special issue was to present recent results in space-time channel models which more realistically capture what is found in practice. The papers to be found in this issue certainly advance that goal. This special issue collects eight papers clustered into two groups: papers dealing with
the capture and analysis of channel measurements and papers dealing with theoretical models. The first paper by L. Garcia et al. considers measurements of an indoor and an outdoor wireless channel at 1800 MHz to guide the selection of the most effective MIMO configuration particular focusing on spatially configuring two transmitters, in a 2 × 4 configuration, to approach the performance of a 4 × 4 configuration. Path loss and spatial correlation properties for the different co
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