ISSAC '90 Proceedings of the international symposium on Symbolic and algebraic computation
Meijer G function representations
ISSAC '97 Proceedings of the 1997 international symposium on Symbolic and algebraic computation
Fundamentals of wireless communication
Fundamentals of wireless communication
Wireless Communications & Mobile Computing
Space shift keying modulation for MIMO channels
IEEE Transactions on Wireless Communications
IEEE Transactions on Communications
IEEE Transactions on Wireless Communications
Trellis coded spatial modulation
IEEE Transactions on Wireless Communications
Improving the performance of space shift keying (SSK) modulation via opportunistic power allocation
IEEE Communications Letters
Multiple-antenna techniques for wireless communications - a comprehensive literature survey
IEEE Communications Surveys & Tutorials
Infinite series representations of the trivariate and quadrivariate nakagami-m distributions
IEEE Transactions on Wireless Communications
Using the physical layer for wireless authentication in time-variant channels
IEEE Transactions on Wireless Communications
Bivariate nakagami-m distribution with arbitrary correlation and fading parameters
IEEE Transactions on Wireless Communications - Part 2
A simple transmit diversity technique for wireless communications
IEEE Journal on Selected Areas in Communications
A decomposition technique for efficient generation of correlated Nakagami fading channels
IEEE Journal on Selected Areas in Communications
Trellis coded spatial modulation
IEEE Transactions on Wireless Communications
Improving the performance of space shift keying (SSK) modulation via opportunistic power allocation
IEEE Communications Letters
IEEE Transactions on Communications
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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 × 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 nonidentically 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.