Asymptotic Performance of Linear Receivers in Network MIMO

Jakob Hoydis (1) , Mari Kobayashi (1) , Merouane Debbah (1)

1 E3S - Supélec Sciences des Systèmes

We consider the asymptotic performance of a class of linear receivers in multiple-input multiple-output (MIMO) multiple access channels (MAC). Under the assumption that the number of transmitters K and the number of receive antennas N grow large at the same rate and that the receiver has only an imperfect estimate of the channel matrix, we derive deterministic equivalents for the signal-to-interference-plus-noise-ratio (SINR) at the receiver output. Since we assume that the channel matrix has a variance profile, i.e., different matrix entries exhibit different variances, the results are useful for the analysis of network MIMO systems where a user terminal (UT) sees a different path loss to different cooperative base stations (BSs). Our simulation results show that the asymptotic performance predictions are accurate for even small values of N and K.

Domains: Information Theory [cs.IT]; Information Theory [math.IT]

Jakob Hoydis, Mari Kobayashi, Merouane Debbah. Asymptotic Performance of Linear Receivers in Network MIMO. Asilomar Conference on Signals, Systems, and Computers (Asilomar'10), Nov 2010, Pacific Grove, CA, United States. ⟨hal-00554956⟩