{J10} T. M. Kim, H. J. Yang, and A. Paulraj, “Distributed sum-rate optimization for full-duplex MIMO system under limited dynamic range,” IEEE Signal Processing Letters, vol. 20, no. 6, June 2013.

[J10] T. M. Kim, H. J. Yang, and A. Paulraj, “Distributed sum-rate optimization for full-duplex MIMO system under limited dynamic range,” IEEE Signal Processing Letters, vol. 20, no. 6, June 2013.

 

Abstract

Distributed sum-rate-maximizing covariance matrices
design for full-duplex multi-input multi-output communication
is considered, where the information of the loopback
interference channels cannot be exchanged reliably due to their
large dynamic ranges. We propose a structured covariance matrices
design which finds the optimal balance between the two
solutions in the extremes of the weak and strong self-interference
through a single-parameter optimization. We further propose a
low-complexity null projection matrix design algorithm, in which
the solution in the strong self-interference regime is designed in
the sense to maximize the received channel gain. Exploiting the
well-posed structure, the proposed scheme nearly achieves the
sum-rate of the previous scheme based on the gradient projection
with significantly less amount of inter-node iterations, yielding an
increased effective sum-rate and reduced overall complexity for
the practial channel block lengths.