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CORR
2011
Springer

Asymptotic Moments for Interference Mitigation in Correlated Fading Channels

8 years 11 months ago
Asymptotic Moments for Interference Mitigation in Correlated Fading Channels
Abstract—We consider a certain class of large random matrices, composed of independent column vectors with zero mean and different covariance matrices, and derive asymptotically tight deterministic approximations of their moments. This random matrix model arises in several wireless communication systems of recent interest, such as distributed antenna systems or large antenna arrays. Computing the linear minimum mean square error (LMMSE) detector in such systems requires the inversion of a large covariance matrix which becomes prohibitively complex as the number of antennas and users grows. We apply the derived moment results to the design of a low-complexity polynomial expansion detector which approximates the matrix inverse by a matrix polynomial and study its asymptotic performance. Simulation results corroborate the analysis and evaluate the performance for finite system dimensions.
Jakob Hoydis, Mérouane Debbah, Mari Kobayas
Added 13 May 2011
Updated 13 May 2011
Type Journal
Year 2011
Where CORR
Authors Jakob Hoydis, Mérouane Debbah, Mari Kobayashi
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