  We consider resource allocation (RA) in multi-carrier coordinated multi-point
(CoMP) systems with limited feedback, in which a cluster of base stations
(BSs), each equipped with multiple antennas, are connect to each other and/or a
central processor via backhauls/fronthauls. The main objective of coordinated
RA is to select user equipments (UEs) on each subcarrier, dynamically decide
upon the cluster size for each subcarrier, and finally partition the feedback
resources, provisioned for acquisition of channel direction information (CDI)
across all subcarriers, active cells, and selected UEs, in order to maximize
the weighted sum utility (WSU). We show how to recast the WSU maximization
problem to achieve spectral efficiency, quality-of-service (QoS), and
energyefficiency (EE). Specifically, we investigate four instances of WSU to
maximize practical system objectives: (i) weighted sum capacity, (ii) weighted
sum effective capacity, (iii) weighted sum energy-efficiency (EE), and (iv)
weighted sum effective EE. The unified composition of these problems through
WSU allows us to use the same set of developed algorithms for all cases. The
algorithms have a greedy structure achieving fast convergence, and successfully
cope with the huge computational complexity of RA problems, mostly rooted in
their combinatorial compositions. Our simulation results shed lights on the
network optimization by discovering insights on appropriate cluster-size,
distribution of BSs in the cluster, and the number of subcarriers. The proposed
UE scheduling and subcarrier assignment are shown to improve the system
performance by several orders-of-magnitude.
