Full-duplex relaying (FDR) is an efficient technique
to serve remote users with low power consumption, however,
careful interference suppression is needed to mitigate self interference
(SI) and multi-user interference (MUI). When multiple
FDRs are employed, inter-relay interference (IRI) emerges and
degrades system performance severely by consuming excessive
transmit power. In this paper, distributed interference suppression
in multiple full-duplex relays aided multiuser networks is
investigated. A general model addressing all the three types of
interference is established first. To minimize the total transmit
power of the system, a distributed beamforming algorithm is
proposed to jointly mitigate the three types of interference under
individual user rate constraints. The algorithm requires only local
information exchange at the relays, hence evidently reducing the
signaling overhead in large-scale networks. Furthermore, theoretical
proof for the algorithm’s convergence is provided, and an
upper bound for the iterative stepsize guaranteeing convergence
is also derived. Numerical simulations validate effectiveness and
stability of our proposal.