Radio Resource Allocation for Mobile MIMO-OFDMA

Radio resource allocation has been widely considered in recent years to further improve communication system performance, while MIMO-OFDMA (multiple input multiple output - orthogonal frequency division multiple access) is one of key technologies in future wireless systems. In this paper we propose an algorithm to adaptively allocate power, bandwidth and antennas among mobile users in MIMO-OFDMA system; the channel equalization was integrated into our signal model to cancel the inter-antenna and inter-carrier interference. By the QR decomposition, we can eliminate the interference and simplified the mobile channel condition to nomadic case. Our numerical results demonstrate that, the proposed algorithm can achieve near-optimal performance while maintain linear complexity simultaneously. Furthermore, the proposed algorithm still can improve system capacity even when we include practical channel estimation and prediction bias into consideration.