In this paper, a novel load balancing technique is proposed to handle biased call request patterns efficiently. The knowledge of call request patterns is used from trace-based analysis; call patterns are affected by various factors such as geographical context, user mobility, network usage patterns and temporal bias. A call routing system is modelled as a network of queues and a provisioning algorithm is developed. The proposed model employs a combination of predictive and reactive provisioning methods. The idea of Capacity Distribution is introduced- a heuristic for heterogeneous capacity allocation among adjacent cell pairs. The proposed model retains simplicity while being able to effectively learn from the variations in call patterns. The performance of the model is evaluated using extensive simulation techniques.