  In this paper, we study the resource allocation algorithm design for
distributed antenna multiuser networks with full-duplex (FD) radio base
stations (BSs) which enable simultaneous uplink and downlink communications.
The considered resource allocation algorithm design is formulated as an
optimization problem taking into account the antenna circuit power consumption
of the BSs and the quality of service (QoS) requirements of both uplink and
downlink users. We minimize the total network power consumption by jointly
optimizing the downlink beamformer, the uplink transmit power, and the antenna
selection. To overcome the intractability of the resulting problem, we
reformulate it as an optimization problem with decoupled binary selection
variables and non-convex constraints. The reformulated problem facilitates the
design of an iterative resource allocation algorithm which obtains an optimal
solution based on the generalized Bender's decomposition (GBD) and serves as a
benchmark scheme. Furthermore, to strike a balance between computational
complexity and system performance, a suboptimal algorithm with polynomial time
complexity is proposed. Simulation results illustrate that the proposed GBD
based iterative algorithm converges to the global optimal solution and the
suboptimal algorithm achieves a close-to-optimal performance. Our results also
demonstrate the trade-off between power efficiency and the number of active
transmit antennas when the circuit power consumption is taken into account. In
particular, activating an exceedingly large number of antennas may not be a
power efficient solution for reducing the total system power consumption. In
addition, our results reveal that FD systems facilitate significant power
savings compared to traditional half-duplex systems, despite the non-negligible
self-interference.
