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Multiple antennas are used in wireless systems to achieve good quality of service and high data rate communication. Multiple-input multiple-output (MIMO) communication systems have a great potential to play an important role in the design of the 4G broadband wireless communication systems. In this paper, performance analysis of combined beamforming with space-time-frequency (STF) coded MIMO-OFDM systems...
Recently, a novel MIMO transceiver architecture, which avoids the costly conversion to/from baseband through parallel RF chains, has been proposed. Despite its obvious advantages, the limitations of the analog combining architecture makes necessary to develop specific transmission schemes. For instance, in the case of perfect channel state information (CSI) at the receiver, and correlation CSI at...
A subspace beamforming method is presented that decomposes a MIMO channel into multiple pairs of subchannels. The pairing is done based on singular values such that similar channel capacity is obtained between different subchannel pairs. This new capacity balancing concept is key to achieving high performance with low complexity. We apply the subspace idea to geometric mean decomposition (GMD) and...
In this paper we derive optimal power allocation (PA) in space and time that minimizes BER for transmitter selection in multi-input-single-output (MISO) Rayliegh fading channels assuming perfect channel state information (CSI) is available at receiver and transmitter. This power allocation scheme achieves exponential diversity order with a single RF front end and requires feedback of the best channel...
This paper studies efficient complex valued matrix manipulations for multi-user STBC-MIMO decoding. A novel method called Alamouti blockwise analytical matrix inversion (ABAMI) is proposed for the inversion of large complex matrices that are based on Alamouti sub-blocks. Another method using a variant of Givens rotation is proposed for fast QR decomposition of this kind of matrices. Our solutions...
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