Maximizing the system mutual information for MIMO ad hoc networks is considered in this paper. We first give a brief overview of the non-linear optimization methods and systematically we compare their performances. Then we propose a fast and distributed algorithm based on the quasi Newton methods to give a lower bound of the system capacity of MIMO ad hoc networks. Our proposed algorithm solves the maximization problem while diminishing the amount of information in the feedback links needed in the cooperative optimization. Finally, an extensive set of simulations shows that our algorithm enjoys a provable convergence and presents the highest convergence rate.
['Khalil Fakih', 'Jean-Francois Diouris', 'Guillaume Andrieux']
On the Capacity Optimization for MIMO Ad Hoc Networks