An integrated subchannel scheduling algorithm for adaptive modulation and coding (AMC) MIMO-OFDM wireless systems

We develop an integrated subchannel scheduling algorithm to maximize the system throughput while guaranteeing minimum data rate requirements for multimedia users in multiuser MIMO-OFDM systems downlink transmission utilizing adaptive modulation and coding (AMC) with limited channel state information feedback. By using the integrated subchannel scheduling, we apply the mathematical equivalence between antennas and subcarriers in the analysis, getting multiple parallel transmit subchannels, and then evaluating the channel state from the viewpoint of receivers. Joint space-frequency diversity as well as multiuser diversity is exploited simultaneously by the subchannel allocation algorithm. A modified proportional fair scheduling is proposed and a fast algorithm for more practical implementation is also proposed. By numerical examples, the system throughput and fairness superiority of our scheduling scheme are verified.