Matching and exchange market based resource allocation in MIMO cognitive radio networks

The paper proposes a novel distributed two-stage resource allocation technique for multiple-input multiple-output cognitive radio links operating within an environment of multiple multi-antenna primary links. Each primary link occupies exclusively part of the resources and offers the opportunity to coexistence. In the first stage, secondary links request primary resources and are either accepted or rejected based on the preferences of the primary links. In the second phase, primary links price their interference temperature and an iterative precoding optimization and price update algorithm is performed. We show the existence of equilibria by showing that the demand function fulfils the weak gross substitute property. Numerical simulations illustrate an example matching and resource allocation.