Multiobjective optimization for pre-DFT combining in coded SIMO-OFDM systems

Lee, Yinman; Hsieh, Yun-jung; Shieh, Hong-Wei

doi:10.1109/lcomm.2010.04.092148

Cited by 4 publications

(2 citation statements)

References 6 publications

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“…This emphasizes on the greater role of receive beamforming compared to transmit beamforming. This is indeed due to the transmit power constraint imposed to the cost function of (13). As a matter of fact, if the same constraint is applied to the weights of the receiver we would observe a similar behavior in the performance (results not shown here).…”

Section: Effect Of Number Of Receive Antennassupporting

confidence: 60%

“…Blind methods are often employed when training signals are not available. These methods often use criteria such as maximization of SNR, mutual information, or minimization of BER to obtain the beamforming weights [4][5][6][7]13]. In reference based methods, however, the weights are obtained by minimizing the error between the received signal and a reference signal such as pilot symbols or preamble blocks [3,8,12].…”

Section: Introductionmentioning

confidence: 99%

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Post-FFT Beamforming in a Pilot-Assisted MIMO-OFDM System

Asadollahi-Yazdi

Seydnejad

2014

Wireless Pers Commun

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It has been shown that by employing beamforming in the receiver of a Single-Input Multiple-Output-orthogonal frequency division multiplexing (SIMO-OFDM) system its performance has been greatly improved by suppressing co-channel interferences and mitigating fading effects of the channel. To get even greater performance applying a similar beamforming technique to the transmitter side of a Multiple-Input Multiple-Output (MIMO)-OFDM system was further employed. However, while in SIMO-OFDM systems both blind and reference-based methods have been investigated, in MIMO-OFDM systems only algorithms based on blind methods have been proposed so far. In this article we develop a reference-based joint transmit-receive beamforming technique, based on pilot symbols, in a MIMO-OFDM system. Post-FFT scheme is used in both sides as the beamforming method. Appropriate adaptive algorithms are developed to obtain the joint optimal beamforming weights in the receiver by minimizing the error signal between the estimated pilot symbols and their actual values. Receiver weights are used locally whereas transmitter weights are sent to the transmitter through a low-rate feedback channel similar to blind methods. The effect of various factors on the performance of the proposed beamforming structure is considered and it is shown that the joint transmit-receive beamforming is more effective than the sole receive beamforming although the improvement due to transmit beamforming is limited by the total transmit power constraint.

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Section: Effect Of Number Of Receive Antennassupporting

confidence: 60%