  We consider a single-cell massive MIMO full-duplex wireless communication
system, where the base-station (BS) is equipped with a large number of
antennas. We consider the setup where the single-antenna mobile users operate
in half- duplex, while each antenna at the BS is capable of full-duplex
transmissions, i.e., it can transmit and receive simultaneously using the same
frequency spectrum. The fundamental challenge in this system is intra-cell
inter-node interference, generated by the transmissions of uplink users to the
receptions at the downlink users. The key operational challenge is estimating
and aggregating inter-mobile channel estimates, which can potentially overwhelm
any gains from full-duplex operation.
  In this work, we propose a scalable and distributed scheme to optimally
manage the inter-node interference by utilizing a "one- hop information
architecture". In this architecture, the BS only needs to know the
signal-to-interference-plus-noise ratio (SINR) from the downlink users. Each
uplink user needs its own SINR, along with a weighted signal-plus-noise metric
from its one-hop neighboring downlink users, which are the downlink users that
it interferes with. The proposed one-hop information architecture does not
require any network devices to comprehensively gather the vast inter-node
interference channel knowledge, and hence significantly reduces the overhead.
Based on the one-hop information architecture, we design a distributed power
control algorithm and implement such architecture using overheard feedback
information. We show that, in typical asymptotic regimes with many users and
antennas, the proposed distributed power control scheme improves the overall
network utility and reduces the transmission power of the uplink users.
