—We consider scheduling policies for maxmin fair allocation of bandwidth in wireless adhoc networks. We formalize the maxmin fair objective under wireless scheduling constraints. We propose a fair scheduling which assigns dynamic weights to the ﬂows such that the weights depend on the congestion in the neighborhood and schedule the ﬂows which constitute a maximum weighted matching. It is possible to analytically prove that this policy attains both short term and long term fairness. We consider more generalized fairness notions, and suggest mechanisms to attain these objectives.