Masouros, C;
Hanzo, L;
(2015)
Constellation-Randomization Achieves Transmit Diversity for Single-RF Spatial Modulation.
IEEE Transactions on Vehicular Technology
, 65
(10)
pp. 8101-8111.
10.1109/TVT.2015.2513380.
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Abstract
The performance of spatial modulation (SM) is known to be dominated by the minimum Euclidean distance (MED) in the received SM constellation. In this paper, a symbol scaling technique is proposed for SM in the multiple-input-multiple-output (MIMO) channel that enhances the MED to improve the performance of SM. This is achieved by forming fixed sets of candidate pre-scaling factors for the transmit antennas, which are randomly generated and are known at both the transmitter and receiver. For a given channel realization, the transmitter chooses the specific set of factors that maximizes the MED. Given the channel state information readily available at the receiver for detection, the receiver independently chooses the same set of pre-scaling factors and uses them for the detection of both the antenna index and the symbol of interest. We analytically calculate the attainable gains of the proposed technique in terms of its transmit diversity order based on both the distribution of the MED and on the theory of classical order statistics. Furthermore, we show that the proposed scheme offers a scalable performance-complexity tradeoff for SM by varying the number of candidate sets of pre-scaling factors, with significant performance improvements compared to conventional SM.
| Type: | Article |
|---|---|
| Title: | Constellation-Randomization Achieves Transmit Diversity for Single-RF Spatial Modulation |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/TVT.2015.2513380 |
| Publisher version: | http://dx.doi.org/10.1109/TVT.2015.2513380 |
| Language: | English |
| Additional information: | This work is licensed under a Creative Commons Attribution 3.0 License. For more information, see http://creativecommons.org/licenses/by/3.0/. |
| Keywords: | Spatial modulation, constellation shaping, multiple-input-single-output, pre-scaling |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/1462459 |
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