  This paper studies the resource allocation algorithm design for multiuser
coordinated multipoint (CoMP) networks with simultaneous wireless information
and power transfer (SWIPT). In particular, remote radio heads (RRHs) are
connected to a central processor (CP) via capacity-limited backhaul links to
facilitate CoMP joint transmission. Besides, the CP transfers energy to the
RRHs for more efficient network operation. The considered resource allocation
algorithm design is formulated as a non-convex optimization problem with a
minimum required signal-to-interference-plus-noise ratio (SINR) constraint at
multiple information receivers and a minimum required power transfer constraint
at the energy harvesting receivers. By optimizing the transmit beamforming
vectors at the CP and energy sharing between the CP and the RRHs, we aim at
jointly minimizing the total network transmit power and the maximum capacity
consumption per backhaul link. The resulting non-convex optimization problem is
NP-hard. In light of the intractability of the problem, we reformulate it by
replacing the non-convex objective function with its convex hull, which enables
the derivation of an efficient iterative resource allocation algorithm. In each
iteration, a non-convex optimization problem is solved by semi-definite
programming (SDP) relaxation and the proposed iterative algorithm converges to
a local optimal solution of the original problem. Simulation results illustrate
that our proposed algorithm achieves a close-to-optimal performance and
provides a significant reduction in backhaul capacity consumption compared to
full cooperation. Besides, the considered CoMP network is shown to provide
superior system performance as far as power consumption is concerned compared
to a traditional system with multiple antennas co-located.
