We present an interesting and powerful new framework connecting the achievable sum rate of multiple-input multiple-output (MIMO) wireless systems employing linear minimum mean-squared error (MMSE) receivers, and the ergodic MIMO mutual information. This allows the vast literature on ergodic MIMO mutual information to be directly applied to the analysis of MMSE receivers. As an example, the framework is particularized to spatially-correlated Rayleigh fading to yield new exact closed-form expressions for the achievable sum rate, as well as simplified expressions for high and low signal to noise ratios. ©2009 IEEE.
Exploiting connections between MIMO MMSE achievable rate and MIMO mutual information / Mckay, M. R.; Collings, I. B.; Tulino, A. M.. - (2009), pp. 1-5. (Intervento presentato al convegno 2009 IEEE International Conference on Communications, ICC 2009 tenutosi a Dresden, deu nel 2009) [10.1109/ICC.2009.5199016].
Exploiting connections between MIMO MMSE achievable rate and MIMO mutual information
Tulino A. M.
2009
Abstract
We present an interesting and powerful new framework connecting the achievable sum rate of multiple-input multiple-output (MIMO) wireless systems employing linear minimum mean-squared error (MMSE) receivers, and the ergodic MIMO mutual information. This allows the vast literature on ergodic MIMO mutual information to be directly applied to the analysis of MMSE receivers. As an example, the framework is particularized to spatially-correlated Rayleigh fading to yield new exact closed-form expressions for the achievable sum rate, as well as simplified expressions for high and low signal to noise ratios. ©2009 IEEE.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
