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A Bilinear Equalizer for Massive MIMO Systems

A Bilinear Equalizer for Massive MIMO Systems

ABSTRACT :

We present a novel approach for low-complexity equalizer design well-suited for cellular massive MIMO systems. Our design allows to exploit the channel structure in terms of covariance matrices to improve the performance in the face of pilot-contamination, while basically keeping the complexity of a matched filter. This is achieved by restricting the equalizer to functions which are bilinear in the received data signals and the observations from a training phase. The proposed design generalizes several previous approaches to equalizer design for massive MIMO. We show by asymptotic analysis that with the proposed design the achievable rate grows without bound for growing numbers of antennas even in the presence of pilot contamination. We demonstrate with numerical results that the proposed design is competitive with more complex approaches in a practical cellular setup.

EXISTING SYSTEM :

The challenge for receive and transmit filter design in massive MIMO is to reduce the complexity such that it is actually possible to implement those filters in practice, but at the same time exploit structural information to reduce the impact of the limited coherence interval.

The proposed optimal bilinear equalizer (OBE) design achieves the desired trade-off. For each fast fading channel realization, the OBE design has a complexity that is similar to the matched filter (MF) based on minimum mean square error (MMSE) estimates of the channel vectors, pushing the more demanding computations into the time scale of the variation of the channel covariance matrices.

PROPOSED SYSTEM :

The proposed design generalizes several previous approaches to equalizer design for massive MIMO. We show by asymptotic analysis that with the proposed design the achievable rate grows without bound for growing numbers of antennas even in the presence of pilot contamination.

We demonstrate with numerical results that the proposed design is competitive with more complex approaches in a practical cellular setup.

several improved filter or precede designs were proposed which can be interpreted as an adaption of the MF concept to a scenario with imperfect channel state information.

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