Research On Radio Resource Management Based On Game Theory For MIMO OFDM Communication Systems

Because radio resources such as frequency spectrum would be far from adequate unless advanced technologies are developed to achieve better efficiency of resource utilization. To support such applications under limited radio resources and harsh wireless channel conditions, more and more people start to focus on researching on the new technique MIMO-OFDM for its robust performance over wireless media.However, there are many problems in adaptive MIMO-OFDM system, for example, the highly computational complexity which caused by the large number of parallel subchannels make it difficult to be utilized in the real system; co-channel interference which increased by the users'spatial relativity reduces the performance of adaptive resource allocation algorithm; and the imperfect channel state information influences the algorithm performance. So the research on the adaptive resource allocation algorithm is very important to the MIMO-OFDM system performance and realization complexity.In this dissertation, adaptive resource allocation algorithms based on game theory for MIMO-OFDM downlink are studied, which can improve the base station transmission power efficiency, spectral efficiency and reduce the computational complexity.Aiming at the multi-user MIMO-OFDM system, we propose the resource allocation algorithm which allocates subcarriers with jointing shared manner and exclusive manner to users according to their spatial correlations under correlated channels based on tow user game theory. The algorithm improves the performance of the system when the users are highly correlated the computational complexity. In the algorithm the userswith high correlation are allocated in the same group.In the same group, subcarriers are allocated in the exclusive manner. While in different groups, subcarriers are allocated in the shared manner.