Performance Evaluation of Media-based Modulation in Comparison with Spatial Modulation and Legacy SISO / MIMO

The idea of Media-based Modulation (MBM), introduced in [1] [2], is based on embedding information in the variations of the transmission media (channel states). This is in contrast to legacy wireless systems (called Signal-Based Modulation, SBM, in current article) where data is embedded in a RadioFrequency (RF) source prior to the transmit antenna. MBM offers several advantages vs. legacy systems, including “additivity of information over multiple receive antennas”, and “inherent diversity over a static fading channel”. MBM is particularly suitable for transmitting high data rates using a single transmit and multiple receive antennas (Single Input-Multiple Output MediaBased Modulation, or SIMO-MBM). Furthermore, to address complexity issues (hardware and algorithmic complexities, as well as the training overhead) that limit the amount of data that can be embedded in channel states using a single transmit unit, Layered Multiple Input-Multiple Output Media-Based Modulation (LMIMO-MBM) is introduced in [3]. Current articles compares performance of MBM and LMIMO-MBM vs. legacy Multiple Input-Multiple Output (MIMO), and a recently introduced modulation scheme called Spatial Modulation (SM) and its generalization called Generalized Spatial Modulation (GSM). These comparisons demonstrate significant performance gains for MBM and LMIMO-MBM vs. these known techniques.

[1]  Robert Bains On the Usage of Parasitic Antenna Elements in Wireless Communication Systems , 2008 .

[2]  Lizhong Zheng,et al.  Diversity and multiplexing: a fundamental tradeoff in multiple-antenna channels , 2003, IEEE Trans. Inf. Theory.

[3]  Constantinos B. Papadias,et al.  A universal encoding scheme for MIMO transmission using a single active element for PSK modulation schemes , 2009, IEEE Transactions on Wireless Communications.

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

[5]  Jim Esch Spatial Modulation for Generalized MIMO: Challenges, Opportunities, and Implementation , 2014, Proc. IEEE.

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

[7]  Chunping Hou,et al.  Generalised spatial modulation with multiple active transmit antennas , 2010, 2010 IEEE Globecom Workshops.

[8]  Jintao Wang,et al.  Generalised Spatial Modulation System with Multiple Active Transmit Antennas and Low Complexity Detection Scheme , 2012, IEEE Transactions on Wireless Communications.

[9]  Emre Telatar,et al.  Capacity of Multi-antenna Gaussian Channels , 1999, Eur. Trans. Telecommun..

[10]  Amir K. Khandani,et al.  Media-based modulation: A new approach to wireless transmission , 2013, 2013 IEEE International Symposium on Information Theory.

[11]  Harald Haas,et al.  Generalised spatial modulation , 2010, 2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers.

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

[13]  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.

[14]  Amir K. Khandani,et al.  Media-based modulation: Converting static Rayleigh fading to AWGN , 2014, 2014 IEEE International Symposium on Information Theory.

[15]  Constantinos B. Papadias,et al.  Aerial modulation for high order PSK transmission schemes , 2009, 2009 1st International Conference on Wireless Communication, Vehicular Technology, Information Theory and Aerospace & Electronic Systems Technology.