Abstract
To approach the potential MIMO capacity while optimizing the system bit error rate (BER) performance, the joint transmit and receive minimum mean squared error (MMSE) design has been proposed. It is the optimal linear scheme for spatial multiplexing MIMO systems, assuming a fixed number of spatial streams p as well as a fixed modulation and coding across these spatial streams. However, state-of-the-art designs arbitrarily choose and fix the value of the number of spatial streams p, which may lead to an inefficient power allocation strategy and a poor BER performance. We have previously proposed to relax the constraint of fixed number of streams p and to optimize this value under the constraints of fixed average total transmit power and fixed spectral efficiency, which we referred to as spatial-mode selection. Our previous selection criterion was the minimization of the system sum MMSE. In the present contribution, we introduce a new and better spatial-mode selection criterion that targets the minimization of the system BER. We also provide a detailed performance analysis, over flat-fading channels, that confirms that our proposed spatial-mode selection significantely outperforms state-of-the-art joint Tx/Rx MMSE designs for both uncoded and coded systems, thanks to its better exploitation of the MIMO spatial diversity and more efficient power allocation.
Highlights
Over the past few years, multiple-input multiple-output (MIMO) communication systems have prevailed as the key enabling technology for future-generation broadband wireless networks, thanks to their huge potential spectral efficiencies [1]
We provide a detailed performance analysis, over flat-fading channels, that confirms that our proposed spatial-mode selection significantly outperforms state-of-the-art joint Tx/Rx minimum mean squared error (MMSE) designs for both uncoded and coded systems, thanks to its better exploitation of the MIMO spatial diversity and more efficient power allocation
For the case of the (3, 3) MIMO setup at R = 12 bps/Hz of Figure 4, the even-mean squared error (MSE) design surpasses the conventional design only for signal-to-noise ratio (SNR) larger than Eb/N0inf = 10 dB. This is due to the fact that, for a given (MT, MR) MIMO system with fixed average total transmit power PT, the larger the constellation used and the larger the rate supported, the larger the induced MSEs at a given Eb/N0 value or alternatively the larger the Eb/N0inf needed to fall below MSEinf on the used spatial streams, which is required for the even-MSE design to outperform the conventional one
Summary
Over the past few years, multiple-input multiple-output (MIMO) communication systems have prevailed as the key enabling technology for future-generation broadband wireless networks, thanks to their huge potential spectral efficiencies [1]. To enable SM, joint transmit and receive space-time processing has emerged as a powerful and promising design approach for applications, where the channel is slowly varying such that the channel state information (CSI) can be made available at both sides of the transmission link The latter design approach exploits this CSI to optimally allocate resources such as power and bits over the available spatial subchannels so as to either maximize the system’s information rate [4] or alternatively reduce the system’s bit error rate (BER) [5, 6, 7, 8]. We have proposed to include the number of streams p as an additional design parameter, rather than a mere arbitrary fixed scalar as in state-of-the-art contributions, to be optimized in order to minimize the joint Tx/Rx MMSE design’s BER [10, 11].
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