Abstract
In this thesis, we propose degrees of freedom (DoF) allocation algorithms to distribute data streams among users and combine iterative interference alignment (IIA) to maximum sum rate in cellular system. In previous researches they focus on interference alignment (IA) to improve the sum rate. Besides, the existing user scheduling model which considers overall interference is inaccurate. It takes little attention to both users diversity and minimizes interference of selected users in the cell. In this thesis, we present algorithms to enhance the number of users scheduled in the cell and remove interference to each selected user as much as possible. We also propose near-optimal DoF allocation algorithm with tree-search method. Simulation results are compared to existing users scheduling algorithm and show that the proposed algorithms outperform the conventional approaches in terms of sum capacity.