Equal Interference Power Allocation for Efficient Shared Spectrum Resource Scheduling

Effective radio frequency spectrum sharing methods are crucial for sustaining growth and development in mobile wireless services. In this paper, we consider a real-world scenario involving spectrum sharing between mobile wireless and meteorological satellite services as motivation for examining the general problem of efficient resource scheduling in a shared spectrum environment. We formulate an optimization framework for maximizing network utility subject to stochastic interference protection constraints. We design and propose a novel solution inspired by analysis of the optimization problem, where the primary contribution is an efficient power allocation algorithm to manage interference between systems. Using theory and simulations, we show that our algorithm significantly outperforms alternative approaches by well approximating the optimal solution with low enough complexity for practical, real-time application to large networks.