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Adaptive selection of antennas for optimum transmission in spatial modulation
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Adaptive Selection of Antennas for Optimum Transmission in Spatial
Modulation
Abstract
In this paper, we propose an optimum transmit structure for spatial modulation (SM), a
unique single-stream multiple- input multiple-output (MIMO) transmission technique. As a
three-dimensional modulation scheme, SM enables a trade-off between the size of the spatial
constellation diagram and the size of the signal constellation diagram. Based on this fact, the
novel method, named transmission optimized spatial modulation (TOSM), selects the best
transmit structure that minimizes the average bit error probability (ABEP). Unlike the
traditional antenna selection methods, the proposed method relies on statistical channel state
information (CSI) instead of instant CSI, and feedback is only needed for the optimal number
of transmit antennas. The overhead for this, however, is negligible. In addition, TOSM has
low computational complexity as the optimization problem is solved through a simple closed-
form objective function with a single variable. Simulation results show that TOSM
significantly improves the performance of SM at various channel correlations. Assuming
Rayleigh fading channels, TOSM outperforms the original SM by up to 9 dB. Moreover, we
propose a single radiofrequency (RF) chain base station (BS) based on TOSM, which
achieves low hardware complexity and high energy efficiency. In comparison with multi-
stream MIMO schemes, TOSM offers an energy saving of at least 56% in the continuous
transmission mode, and 62% in the discontinuous transmission mode.
Index Terms—Spatial modulation (SM), channel correlation, transmit antenna
selection, MIMO.