An axiomatic approach to resource allocation and interference balancing

We propose a general framework for joint resource allocation and interference control for classes of interference functions based on an axiomatic model. This model holds for a wide range of multiuser channels and even allows the incorporation of interference suppression techniques. The quality of service (QoS) of each user is modeled as a function of the interference. It is shown that for certain mappings between interference and QoS, the resulting achievable region is a convex set. Furthermore, we show that the problem of optimizing the sum of weighted QoS over the transmit powers is convex for certain classes of QoS functions. The choice of the weights determines the trade-off between fairness and overall efficiency. The problem can be solved efficiently by standard convex optimization techniques.