NDLI: Performance evaluation of pre- and post-FFT beamforming methods in pilot-assisted SIMO-OFDM systems

Content Provider	Springer Nature Link
Author	Seydnejad, Saeid R. Akhzari, Sadegh
Copyright Year	2015
Abstract	Spatial domain processing using adaptive antenna arrays has been widely used to suppress co-channel interferences and mitigate the channel effect in single-input multiple-output (SIMO) OFDM systems. Two main mechanisms are pre-FFT scheme based on time-domain beamforming and post-FFT scheme based on frequency-domain beamforming. Both schemes have been recently extended to multiple-input multiple-output (MIMO) OFDM systems. However, there is no study, neither in SIMO-OFDM systems nor in MIMO-OFDM systems, to compare these two methods in details and provide specific guidelines to the designers on which scheme to deploy. Since performance improvement due to beamforming in both SIMO- and MIMO-OFDM systems are based on the same principles and noting the complexity of analysis in MIMO-OFDM beamforming systems, in this article we compare these two schemes in the simpler structure of a pilot assisted SIMO-OFDM system. This comparison is performed both from analytical perspective and by simulation results. It is shown under what conditions the more complex post-FFT scheme can exhibit better results and under what conditions the less costly pre-FFT scheme can demonstrate better performance. This greatly helps the designers to choose the right scheme based on their system characteristics.
Starting Page	471
Ending Page	487
Page Count	17
File Format	PDF
ISSN	10184864
Journal	Telecommunication Systems
Volume Number	61
Issue Number	3
e-ISSN	15729451
Language	English
Publisher	Springer US
Publisher Date	2015-03-19
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	OFDM systems Adaptive anttena array Beamforming Interference cancellation Spatial diversity SIMO-OFDM IT in Business Computer Communication Networks Artificial Intelligence (incl. Robotics) Probability Theory and Stochastic Processes
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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