Abstract—The exponential growth in data traffic has led to the necessity of offloading the traffic from macrocells. In this direction, the deployment of femtocells has been of keen interest in the recent years. The offloading of heavy bulk of users from macrocells has been of high importance due to the availability of sufficient number of deployed femtocells. The unregulated offloading results in load imbalance in the two cells leading to congestion in the femtocell network and under utilization of resources in macrocell network or vice versa. Therefore, efficient offloading techniques are required for proper utilization of resources and good quality experience by the end users. This paper analyzes the performance of the conventional offloading strategy for selecting a target cell. It also proposes an offloading strategy to select a target cell based on multiple criterions and demonstrates its dominance on the conventional strategy in terms of fairness index and computational efficiency. A fair distribution of resources is indicated when proposed strategy is used. The computational efficiency of the system is improved by 39.3% and 19.2% when users are moving at speeds of 30 kmph and 120 kmph respectively. 

Index Terms—Femtocells, offloading, cell selection, fairness index, CPU clock.

Cite: Suman Deswal and Anita Singhrova, "Cell Selection Technique for Offloading in Cellular Networks," Journal of Communications, vol. 12, no. 10, pp.  572-578, 2017. Doi: 10.12720/jcm.12.10.572-578.