Robust Distributed Compression for Cloud Radio Access Networks
This work studies distributed compression for the uplink of a cloud radio access network, where multiple multi-antenna Base Stations (BSs) communicate with a central unit, also referred to as cloud decoder, via capacity-constrained backhaul links. Distributed source coding strategies are potentially beneficial since the signals received at different BSs are correlated. However, they require each BS to have information about the joint statistics of the received signals across the BSs, and are generally sensitive to uncertainties regarding such information. Motivated by this observation, a robust compression method is proposed to cope with uncertainties on the correlation of the received signals.