Direct Transmit Antenna Selection for Transmit Optimized Spatial Modulation

To improve the performance of spatial modulation (SM) over correlated MIMO channels, transmit optimized spatial modulation (TOSM) has been proposed recently. It trades off traditional signal constellation diagrams with spatial constellation diagrams to minimize the average bit error probability (ABEP). After the optimum number of transmit antennas is determined, the specific antennas need to be carefully chosen from the entire array to provide a minimum ABEP. Like in conventional transmit antenna selection (TAS) schemes, the problem can be solved by an exhaustive search. However, this results in an unaffordable complexity especially when the spectral efficiency is high. In this paper, we propose a creative TAS approach for TOSM. Given a required number of antennas, the novel technique determines the selection solution based on circle packing. Simulation results show that for various channel correlations and spectral efficiencies, the proposed method achieves performance results close to exhaustive search with a gap of less than 0.3 dB. The complexity is reduced to an extremely low level.

[1]  Harald Haas,et al.  Base station energy consumption for transmission optimised spatial modulation (TOSM) in correlated channels , 2012, 2012 IEEE 17th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD).

[2]  P. Grant,et al.  Spatial modulation for multiple-antenna wireless systems: a survey , 2011, IEEE Communications Magazine.

[3]  Chang Wook Ahn,et al.  Spatial Modulation - A New Low Complexity Spectral Efficiency Enhancing Technique , 2006, 2006 First International Conference on Communications and Networking in China.

[4]  Harald Haas,et al.  On the Performance of SSK Modulation over Correlated Nakagami-m Fading Channels , 2010, 2010 IEEE International Conference on Communications.

[5]  Harald Haas,et al.  Trellis Coded Spatial Modulation , 2010, IEEE Transactions on Wireless Communications.

[6]  Harald Haas,et al.  Fractional bit encoded spatial modulation (FBE-SM) , 2010, IEEE Communications Letters.

[7]  Harald Haas,et al.  Spatial Modulation , 2008, IEEE Transactions on Vehicular Technology.

[8]  Harald Haas,et al.  An energy saving base station employing spatial modulation , 2012, 2012 IEEE 17th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD).

[9]  Ali Ghrayeb,et al.  Spatial modulation: optimal detection and performance analysis , 2008, IEEE Communications Letters.

[10]  Sergey L. Loyka,et al.  Channel capacity of MIMO architecture using the exponential correlation matrix , 2001, IEEE Communications Letters.

[11]  Lajos Hanzo,et al.  Antenna Selection in Spatial Modulation Systems , 2013, IEEE Communications Letters.

[12]  Harald Haas,et al.  Performance Analysis of Spatial Modulation (SM) , 2010, ICC 2010.

[13]  Harald Haas,et al.  Bit Error Probability of SM-MIMO Over Generalized Fading Channels , 2012, IEEE Transactions on Vehicular Technology.

[14]  Harald Haas,et al.  Structure optimisation of spatial modulation over correlated fading channels , 2012, 2012 IEEE Global Communications Conference (GLOBECOM).

[15]  Lei Li,et al.  Link Adaptation for Spatial Modulation With Limited Feedback , 2012, IEEE Transactions on Vehicular Technology.

[16]  Kenneth Stephenson,et al.  Introduction to Circle Packing: The Theory of Discrete Analytic Functions , 2005 .