Adaptive resource allocation for multiuser MIMO/OFDM networks based on partial channel state information

MIMO/OFDM has recently been the subject of much interest because of its potential for meeting the stringent requirements of the next-generation broadband wireless communication systems. In this paper, a multiuser resource allocation and management approach which combines adaptive sub-carrier allocation as well as a power and bit distribution based on partial channel state information is proposed to significantly improve the performance of a multiuser MIMO/OFDM system. It is shown that the proposed methodology, which relies on the combination of beamforming and orthogonal space-time block coding, guarantees all the users with a quality of service required for a minimum targeted BER. It can also optimize the power efficiency as well as the subcarriers allocation in order to maximize the data rate while ensuring fairness among all the users. In particular, it is shown that by taken advantage of the channel side information obtained through both, mean and covariance feedback, the proposed methodology exhibits resistance to the Doppler effects due to correlated channel variations while achieving good system performance.