Random beamforming is studied in two scenarios: single cell and multi cell environments. The sum rate performance analysis is studied based on a novel approach to investigate the fundamental behavior of random beamforming in the single cell scenario. ...
Random beamforming is studied in two scenarios: single cell and multi cell environments. The sum rate performance analysis is studied based on a novel approach to investigate the fundamental behavior of random beamforming in the single cell scenario. Based on the sum rate performance analysis, we propose a multimode transmission to maximize the sum rate of random beamforming, as well as to reduce the amount of feedback information. Simulation results show that proposed multimode transmission achieves higher sum rate performance compared to conventional schemes which have been developed to improve the performance of original random beamforming. Expanding the concept of multimode transmission into multicell scenario, we deal with game theoretic multimode random beamforming to improve the sum rate performance with no additional signalling for cooperation process. As a result, we propose efficient iterative power control schemes for two types of game: user centric and base station centric games. Proposed schemes assure three important aspects, which are uniqueness of Nash equilibrium, globally stable convergence, and independence of the initial power level. These schemes show remarkable performance gain even in interference-limited multi cell environment by providing implicit multimode transmission, resulting in efficient interference management