A General Framework for Performance Analysis of Space Shift Keying (SSK) Modulation for MISO Correlated Nakagami-m Fading Channels

In this paper, we offer an accurate framework for analyzing the performance of wireless communication systems adopting the recently proposed Space Shift Keying (SSK) modulation scheme. More specifically, we study the performance of a Nt x 1 MISO (Multiple-Input-Single-Output) system setup with Maximum-Likelihood (ML) detection and full Channel State Information (CSI) at the receiver. The exact Average Bit Error Probability (ABEP) over generically correlated and non-identically distributed Nakagami-m fading channels is computed in closed-form when Nt=2, while very accurate and asymptotically tight upper bounds are proposed to compute the ABEP when Nt > 2. With respect to current literature, our contribution is threefold: i) the ABEP is computed in closed-form without resorting to Monte Carlo numerical simulations, which, besides being computationally intensive, only yield limited insights about the system performance and cannot be exploited for a systematic optimization of it, ii) the framework accounts for arbitrary fading conditions and is not restricted to identically distributed fading channels, thus offering a comprehensive understanding of the performance of SSK modulation over generalized fading channels, and iii) the analytical framework could be readily adapted to study the performance over generalized fading channels with arbitrary fading distributions, since the Nakagami-m distribution is a very flexible fading model, which either includes or can closely approximate several other fading models. Numerical results show that the performance of SSK modulation is significantly affected by the characteristics of fading channels, {e.g.}, channel correlation, fading severity, and power imbalance among the Nt transmit-receive wireless links. Analytical frameworks and theoretical findings are also substantiated via Monte Carlo simulations.

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

[2]  Yawgeng A. Chau,et al.  Space modulation on wireless fading channels , 2001, IEEE 54th Vehicular Technology Conference. VTC Fall 2001. Proceedings (Cat. No.01CH37211).

[3]  Reinaldo A. Valenzuela,et al.  V-BLAST: an architecture for realizing very high data rates over the rich-scattering wireless channel , 1998, 1998 URSI International Symposium on Signals, Systems, and Electronics. Conference Proceedings (Cat. No.98EX167).

[4]  Vijay K. Bhargava,et al.  A general method for calculating error probabilities over fading channels , 2005, IEEE Transactions on Communications.

[5]  Harald Haas,et al.  Improving the performance of space shift keying (SSK) modulation via opportunistic power allocation , 2010, IEEE Communications Letters.

[6]  Moe Z. Win,et al.  MRC performance for M-ary modulation in arbitrarily correlated Nakagami fading channels , 2000, IEEE Communications Letters.

[7]  H. Hashemi,et al.  The indoor radio propagation channel , 1993, Proc. IEEE.

[8]  D. Owen Handbook of Mathematical Functions with Formulas , 1965 .

[9]  M. Nakagami The m-Distribution—A General Formula of Intensity Distribution of Rapid Fading , 1960 .

[10]  Milton Abramowitz,et al.  Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables , 1964 .

[11]  George K. Karagiannidis,et al.  On the multivariate Nakagami-m distribution with exponential correlation , 2003, IEEE Trans. Commun..

[12]  Lorenzo Rubio,et al.  Generation of bivariate Nakagami-m fading envelopes with arbitrary not necessary identical fading parameters , 2007, Wirel. Commun. Mob. Comput..

[13]  W. Stutzman,et al.  Spatial, polarization, and pattern diversity for wireless handheld terminals , 2001 .

[14]  Fortunato Santucci,et al.  A unified framework for performance analysis of CSI-assisted cooperative communications over fading channels , 2009, IEEE Transactions on Communications.

[15]  Fortunato Santucci,et al.  A comprehensive framework for performance analysis of dual-hop cooperative wireless systems with fixed-gain relays over generalized fading channels , 2009, IEEE Transactions on Wireless Communications.

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

[17]  K. Roach Meijer G function representations , 1997, ISSAC.

[18]  M. Abramowitz,et al.  Handbook of Mathematical Functions With Formulas, Graphs and Mathematical Tables (National Bureau of Standards Applied Mathematics Series No. 55) , 1965 .

[19]  Ali Ghrayeb,et al.  Generalized space shift keying modulation for MIMO channels , 2008, 2008 IEEE 19th International Symposium on Personal, Indoor and Mobile Radio Communications.

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

[21]  Lutz H.-J. Lampe,et al.  Multiple-antenna techniques for wireless communications - a comprehensive literature survey , 2009, IEEE Communications Surveys & Tutorials.

[22]  Mohamed-Slim Alouini,et al.  Digital Communication Over Fading Channels: A Unified Approach to Performance Analysis , 2000 .

[23]  R. M. A. P. Rajatheva,et al.  Infinite series representations of the trivariate and quadrivariate nakagami-m distributions , 2007, IEEE Transactions on Wireless Communications.

[24]  David Tse,et al.  Fundamentals of Wireless Communication , 2005 .

[25]  Keith Q. T. Zhang A decomposition technique for efficient generation of correlated Nakagami fading channels , 2000, IEEE Journal on Selected Areas in Communications.

[26]  Ali Ghrayeb,et al.  Space shift keying modulation for MIMO channels , 2009, IEEE Transactions on Wireless Communications.

[27]  Ahmad Alshamali,et al.  Performance of Spatial Modulation in Correlated and Uncorrelated Nakagami Fading Channel , 2009, J. Commun..

[28]  Victor Adamchik,et al.  The algorithm for calculating integrals of hypergeometric type functions and its realization in REDUCE system , 1990, ISSAC '90.

[29]  Harald Haas,et al.  Increasing spectral efficiency by data multiplexing using antenna arrays , 2002, The 13th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications.

[30]  Mohamed-Slim Alouini,et al.  A unified approach to the performance analysis of digital communication over generalized fading channels , 1998, Proc. IEEE.

[31]  Harald Haas,et al.  Performance Comparison of Different Spatial Modulation Schemes in Correlated Fading Channels , 2010, 2010 IEEE International Conference on Communications.

[32]  Larry J. Greenstein,et al.  Using the physical layer for wireless authentication in time-variant channels , 2008, IEEE Transactions on Wireless Communications.

[33]  Michel Daoud Yacoub,et al.  Bivariate nakagami-m distribution with arbitrary correlation and fading parameters , 2008, IEEE Transactions on Wireless Communications.

[34]  Van Trees,et al.  Detection, Estimation, and Modulation Theory. Part 1 - Detection, Estimation, and Linear Modulation Theory. , 1968 .

[35]  Siavash M. Alamouti,et al.  A simple transmit diversity technique for wireless communications , 1998, IEEE J. Sel. Areas Commun..