NDLI: On the impact of transmit waveforms on channel estimation inaccuracies in distributed MIMO ad hoc networks

Content Provider	IEEE Xplore Digital Library
Author	Casari, P. Chiarotto, D. Zorzi, M.
Copyright Year	2010
Description	Author affiliation: Department of Information Engineering, University of Padova, Italy (Casari, P.; Chiarotto, D.; Zorzi, M.)
Abstract	In this paper, we present a general analysis to evaluate the performance of correlator-based channel estimation in distributed MIMO ad hoc networks. This analysis is required to characterize the behavior of networks employing advanced physical-level (PHY) techniques, which call for precise assessment of channel effects in order to be operated correctly. To this end, we assume that several non-orthogonal signals are simultaneously received in a coordinated (i.e., frame-synchronous) but symbol-asynchronous fashion, and undergo flat, independent Rayleigh fading. We show that, in this scenario, channel estimates are affected not only by noise, but also by a displacement depending on the current channel realization. Such additional component can be modeled as a Gaussian random variable, of which we calculate the mean and variance, highlighting its dependence on the number of training symbols and the shape of transmit impulse. In particular, we show that an interesting interplay exists between MAC parameters (e.g., throughput) and the type of impulse chosen in an ad hoc networking protocol simulator.
Starting Page	1
Ending Page	6
File Size	351764
Page Count	6
File Format	PDF
ISBN	9781424474165
e-ISBN	9781424474172
DOI	10.1109/CISS.2010.5464923
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-03-17
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Shape Rayleigh channels Physical layer Ad hoc networks Noise shaping Distributed MIMO ad hoc networks Channel estimation channel estimation errors Media Access Protocol MIMO Performance analysis Random variables multiuser detection
Content Type	Text
Resource Type	Article

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