DocumentCode :
1285732
Title :
Beamforming in MISO Systems: Empirical Results and EVM-Based Analysis
Author :
Duarte, Melissa ; Sabharwal, Ashutosh ; Dick, Chris ; Rao, Raghu
Author_Institution :
Dept. of Electr. & Comput. Eng., Rice Univ., Houston, TX, USA
Volume :
9
Issue :
10
fYear :
2010
fDate :
10/1/2010 12:00:00 AM
Firstpage :
3214
Lastpage :
3225
Abstract :
We show that efficient implementation of codebook-based beamforming Multiple Input Single Output (MISO) systems with good performance is feasible in the presence of channel-induced imperfections (due to imperfect channel estimate and feedback delay) and implementation-induced imperfections (due to real-world radio hardware effects). To present our results, we adopt a mixed approach of analytical, simulation, and experimental evaluation. Our analytical and simulation results take into account channel-induced imperfections but do not take into account implementation-induced imperfections (which are difficult to model in a tractable way). Thus, we complement these results with experimental results that do take into account both channel and implementation-induced imperfections. This mixed approach provides a more complete picture of expected performance. As part of our study we develop a framework for Average Error Vector Magnitude Squared (AEVMS)-based analysis of beamforming MISO systems which facilitates comparison of analytical, simulation, and experimental results on the same scale. In addition, AEVMS allows fair comparison of experimental results obtained from different wireless testbeds. We derive novel expressions for the AEVMS of beamforming MISO systems and show how the AEVMS relates to important system characteristics like the diversity gain, coding gain, and error floor.
Keywords :
array signal processing; channel estimation; diversity reception; feedback; AEVMS-based analysis; EVM-based analysis; average error vector magnitude squared-based analysis; beamforming MISO systems; channel-induced imperfections; codebook-based beamforming; coding gain; diversity gain; error floor; feedback delay; imperfect channel estimate; implementation-induced imperfections; multiple input single output systems; real-world radio hardware effects; wireless testbeds; Additive noise; Analytical models; Array signal processing; Channel estimation; Delay; Delay estimation; Diversity methods; Hardware; Output feedback; Performance analysis; Radio frequency; Receivers; Timing; Training; WiMAX; Beamforming; EVM; MISO Systems; coding gain; delayed feedback; diversity gain; noisy channel estimate;
fLanguage :
English
Journal_Title :
Wireless Communications, IEEE Transactions on
Publisher :
ieee
ISSN :
1536-1276
Type :
jour
DOI :
10.1109/TWC.2010.072610.091720
Filename :
5539716
Link To Document :
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