In order to overcome low performance of conventional static interference management algorithms and high complexity of existing dynamic interference management algorithms, this paper proposes an efficient, low-complex and fully distributed power control and user scheduling algorithm in downlink multicarrier multi-cell wireless networks. We decompose the original optimization problem, which requires intractable computation complexity for global optimality, into per-BS (base station) problems based on the notion of reference user. This idea is a good approximation of the optimal algorithms that permits significant complexity reduction, yet sustains near-optimal performance. We further reduce feedback overhead to make the resulting algorithm more practical by exploiting temporal correlations and spatial simplification. We verify the efficiency of our proposed algorithm through extensive simulations over various topologies and scenarios motivated by the current 3G BS deployment map.