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The present paper deals with dynamic resource management based on quantized Channel State Information (CSI) for multi-carrier cognitive radio networks comprising primary and secondary wireless users. For each sub-carrier, users rely on adaptive modulation, coding and power modes that they select in accordance with the limited-rate feedback they receive from the access point. The access point uses CSI to maximize the sum of generic concave utilities of the individual average rates in the network while respecting rate and power constraints on the primary and secondary users. Using a stochastic dual approach, optimum dual prices are found to optimally allocate resources across users per channel realization without requiring knowledge of the channel distribution.
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