An efficient algorithm for channel estimation and resource allocation in OFDMA downlink networks

The dynamic allocation of resources in OFDMA networks has recently been an active area of research. Most of the given solutions in the literature assume however that perfect channel state information (CSI) is available at the transmitter side. In this paper, we present a novel algorithm that jointly estimates the channel and allocates resources in OFDMA networks. Unlike the previous OFDMA channel estimation algorithms, we consider here the downlink case. The proposed approach transforms the original non-convex optimization problem into a set of consecutive smaller sub-problems that can be efficiently solved in an independent manner. The algorithm minimizes the mean squared error of the estimate of the channel while maximizing the average user utility function of the OFDMA system.