ICNC 2019, International Conference on Computing, Networking and Communications, February 18-21, 2019, Honolulu, Hawaii, USA
In a multi-user multi-antenna interfering broadcast channel (IBC) system, optimal linear receive and transmit beamformers are of the Maximum Signal-to-Interference-plus-Noise (MaxSINR) type. These designs make an optimal compromise between noise enhancement and interference suppression and reduce to matched filters at low SNR and zero-forcing at high SNR . The novel beamformers are here optimized for the Expected
Weighted Sum Rate (EWSR) for the case of Partial Channel State Information at the Transmitters (CSIT). We consider a Gaussian partial CSIT model, combining channel estimates and covariance information. We constrain the transceiver to either zero-force
or ignore each interference term. This leads to a reduced-order zero-forcing (RO-ZF) design in which the number of interference terms being zero-forced increases with SNR. We extend a recently introduced large system analysis for optimized beamformers with
partial CSIT, by a stochastic geometry inspired randomization of the channel covariance eigen spaces, leading to much simpler analytical results which depend only on some essential channel characteristics. RO-ZF designs lead to variable reductions of
computational complexity and CSI requirements.
Type:
Conférence
City:
Honolulu
Date:
2019-02-18
Department:
Systèmes de Communication
Eurecom Ref:
5749
Copyright:
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