  With the increasing number of user equipment (UE) and data demands, denser
access points (APs) are being employed. Resource allocation problems have been
extensively researched with interference treated as noise. It is well
understood that the overall spectral efficiency can be significantly improved
if multiple terminals coordinate their transmissions either coherently or
non-coherently.The focus of this paper is to study how to select pairs of APs
for coordination and allocate resources accordingly. An optimization problem is
formulated to maximize the network utility function by optimizing AP paring,
spectrum allocation, user association, and power management in a flexible
manner. A scalable and efficient algorithm is proposed based on iterative
scheme pursuit and fractional programming. Numerical results demonstrate
substantial gains in the network utility due to coordinated transmission in a
network of 128 APs and 384 UE.
