Abstract
The deployment of antenna subset selection on a per-subcarrier basis in MIMO-OFDM systems could improve the system performance and/or increase data rates. This paper investigates this technique for the MIMO-OFDM systems suffering nonlinear distortions due to high-power amplifiers. At first, some problems pertaining to the implementation of the conventional per-subcarrier antenna selection approach, including power imbalance across transmit antennas and noncausality of antenna selection criteria, are identified. Next, an optimal selection scheme is devised by means of linear optimization to overcome those drawbacks. This scheme optimally allocates data subcarriers under a constraint that all antennas have the same number of data symbols. The formulated optimization problem to realize the constrained scheme could be applied to the systems with an arbitrary number of multiplexed data streams and with different antenna selection criteria. Finally, a reduced complexity strategy that requires smaller feedback information and lower computational effort for solving the optimization problem is developed. The efficacy of the constrained antenna selection approach over the conventional selection approach is analyzed directly in nonlinear fading channels. Simulation results demonstrate that a significant improvement in terms of error performance could be achieved in the proposed system with a constrained selection compared to its counterpart.
Highlights
Recent years have seen a great demand for very fast data speeds in wireless multimedia applications
We have shown that the implementation of the conventional per-subcarrier selection in such a system suffers from the problem of performance degradation due to the large power back-off as well as the noncausality associated with the selection criteria
We have proposed an optimal constrained selection scheme that can allocate data subcarriers among transmit antennas by means of linear optimization
Summary
Recent years have seen a great demand for very fast data speeds in wireless multimedia applications. To the best of our knowledge, all the existing works about constrained antenna selection, e.g., [11-13], only consider the effects of nonlinear HPAs on the system performance by means of simulations for demonstration purposes. This approach obviously has some limitations as it does not fully give an insight into the system characteristics. We propose and analyze constrained persubcarrier antenna subset selection for MIMO-OFDM systems in the presence of nonlinear distortions due to nonlinear HPAs. we address the aforementioned limitations of the previous works.
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