Collaborative one-shot beamforming under localization errors: A discrete optimization approach

•We propose one-shot (non-iterative) discrete optimization-based algorithms for collaborative beamforming under localization errors.•When all participating agents have small localization errors, greedy approaches globally minimize the variance of the received SINR.•When some agents have large localization errors, the variance of the received SINR can be locally minimized by exploiting supermodularity.