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Multiple access spatial modulation

Nikola Serafimovski1*, Sinan Sinanović1, Marco Di Renzo2 and Harald Haas1

Author Affiliations

1 Institute for Digital Communications, Joint Research Institute for Signal and Image Processing, School of Engineering, The University of Edinburgh, Edinburgh, EH9 3JL, UK

2 Laboratory of Signals and Systems (L2S), French National Center for Scientific Research (CNRS), L’Ecole Supérieure d’Électricité (SUPÉLEC), University of Paris–Sud XI (UPS

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EURASIP Journal on Wireless Communications and Networking 2012, 2012:299  doi:10.1186/1687-1499-2012-299

Published: 19 September 2012


In this study, we seek to characterise the behaviour of Spatial modulation (SM) in the multiple access scenario. By only activating a single transmit antenna for any transmission, SM entirely avoids inter-channel interference, requires no synchronisation between the transmit antennas and a single radio frequency chain at the transmitter. Most contributions thus far have only addressed aspects of SM for a point-to-point communication system. We propose a maximum-likelihood (ML) detector which can successfully decode incoming data from multiple simultaneous transmissions and does not suffer from the near-far problem. We analyse the performance of the interference-unaware and interference-aware detectors. We look at the behaviour of SM as the signal-to-interference-plus-noise ratio goes to infinity and compare it to the complexity and cost equivalent single-input-multiple-output (SIMO) system. Two systems are considered to be equivalent in terms of complexity if their respective detection algorithms are of the same order in <a onClick="popup('http://www.jwcn.eurasipjournals.com/content/2012/1/299/mathml/M1','MathML',630,470);return false;" target="_blank" href="http://www.jwcn.eurasipjournals.com/content/2012/1/299/mathml/M1">View MathML</a>notation. Simulation results show that the interference-aware SM detector performs better than the complexity equivalent multi-user ML-SIMO detector by at least 3 dB at an average bit-error-ratio of 10−3.