* This is the dataset of the accepted paper (March 4, 2018):  R. Rajashekar, K.V.S. Hari, and L. Hanzo, "Transmit Antenna Subset Selection for Single and Multiuser Spatial Modulation Systems Operating in Frequency Selective Channels"

* Paper Abstract:
The extensive study of transmit antenna (TA) subset selection (TAS) in the context of spatial modulation (SM) has recently revealed that significant performance gains are attainable compared to SM systems operating without TAS. However, the existing TAS techniques conceived for SM were studied by considering a frequency-flat channel, which does not represent practical frequency-selective channels. In this paper, we address this open problem by designing TAS schemes for zero-padded single-carrier SM systems. Specifically, we employ a partial successive interference cancellation (SIC) receiver and invoke Euclidean distance based transmit antenna subset selection (ED-TAS) for each of the sub-channels. Furthermore, we show using theoretical analysis that the parallel sub-channels obtained are nearly identical, which enables us to employ majority logic decision to obtain a single TA subset to be used in all the sub-channels. The computational burden is additionally reduced by restricting the number of sub-channels over which the ED-TAS technique is invoked. Furthermore, the proposed TAS schemes are extended to the multi-user scenario. The theoretical insights developed are validated using simulation results. Specifically, a signal-to-noise ratio (SNR) gain as high as 3dB is observed in the single user scenario and about 1dB in case of a two-user scenario upon employing our TAS.

* Project:
The financial support of the EPSRC projects EP/P034284/1, EP/Noo4558/1 and EP/L018659/1, as well as of the European Research Council's Advanced    Fellow Grant under the Beam-Me-Up project and of the Royal Society's Wolfson Research Merit Award is gratefully acknowledged.

* This DOI contains the datasets of Figures 2 to 13 of the aforementioned paper. Each Fig#.fig file corresponds to the same numbered figure in the paper. Each .fig file has all the information required to generate the plot. To regenerate the results, just open the Fig#.fig file in Matlab. Exact values of each of the curves can be read from the property editor.