A Novel Low Complexity Algorithm for Analysis, Simulation of Proportional Resource Allocation in MIMO-OFDMA System

Multiple Input Multiple Output-Orthogonal Frequency Division Multiple Access (MIMO-OFDMA) system is most sophisticated technology for multiple users to transmit multiple symbols simultaneously on different orthogonal subcarriers with same symbol period. This paper mainly focuses allocation of subcarriers by base station and power to each user to maximize the user data rates, subject to total power, bit error rate, and proportionality constraints across user data rates. Recent allocation methods have been iterative nonlinear methods applicable for offline optimization. In the special high subchannel SNR case, an iterative ischolar_main-finding method has linear-time complexity in the number of users .We proposed a new well-behaved method to solve the rate-adaptive resource allocation problem with proportional rate constraints for MIMO-OFDMA systems. It improves spectral efficiency and flexibility by achieving approximate rate proportionality while maximizing the total capacity. This scheme allowing the optimal power allocation to be performed using a direct algorithm with a much lower complexity versus an iterative algorithm. Hence it performs better than the previous work in terms of significantly decreasing the computational complexity, and yet achieving higher total capacities. The simulation results were presented with MATLAB 2013a@R.