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We present a position-based resource allocation algorithm and evaluate the gain of zone division by a simulator that realistically replicates the imperfect operations of a real system. I he positions are important in the sense of how they affect the level of interference in adjacent cells (or sectors), and is a function of the distance to adjacent base stations (BSs) and the shadowing effects of the propagation environment. The queued packet algorithm (QPA) introduced here from [E.C. Haddad, 2002] is based on the occupancy of virtual queues for users grouped in zones where the resource requirements may be considered as similar. We evaluate the gain of a 4-zone division versus a 2-zone division for an assignment region at capacity for various propagation conditions and mobile distributions in the system. We consider stable operation of the system with long-term fairness achieved between users in different zones of the same cell. We show that the capacity gain of 4-zone division ranges between 8% and 15% compared to the 2-zone division.