Sciweavers

Share
ICASSP
2008
IEEE

Impact of mismatched statistics on correlated MIMO capacity

9 years 4 months ago
Impact of mismatched statistics on correlated MIMO capacity
Many recent works that study the impact of spatial correlation on the performance of multi-input multi-output (MIMO) systems assume a separable (also known as the Kronecker) model where the variances of channel entries, upon decomposition onto the transmit and the receive eigen-bases, admit a separable form. If the true statistics of the channel coefficients are non-separable, the separability assumption leads to a flattening and spreading of the degrees of freedom (DoF) in the channel, and hence results in misleading estimates of capacity – an observation consistent with many measurement campaigns. Towards understanding this observation, we first elucidate the importance of channel power normalization, an often-ignored notion, in the capacity analysis of correlated channels. Using tools from random matrix theory, we characterize the mismatch in estimating capacity with the separable model, and thus provide a theoretical underpinning behind many measurement-based observations.
Vasanthan Raghavan, Akbar M. Sayeed, Jayesh H. Kot
Added 30 May 2010
Updated 30 May 2010
Type Conference
Year 2008
Where ICASSP
Authors Vasanthan Raghavan, Akbar M. Sayeed, Jayesh H. Kotecha
Comments (0)
books