  Although there have been extensive studies on transmit beamforming in
multi-input single-output (MISO) multicell networks, achieving optimal sum-rate
with limited channel state information (CSI) is still a challenge even with a
single user per cell. A novel cooperative downlink multicell MISO beamforming
scheme is proposed with highly limited information exchange among the base
stations (BSs) to maximize the sum-rate. In the proposed scheme, each BS can
design its beamforming vector with only local CSI based on limited information
exchange on CSI. Unlike previous studies, the proposed beamforming design is
non-iterative and does not require any vector or matrix feedback but requires
only quantized scalar information. The proposed scheme closely achieves the
optimal sum-rate bound in almost all signal-to-noise ratio regime based on
non-iterative optimization with lower amount of information exchange than
existing schemes, which is justified by numerical simulations.
