Optimal RAT selection algorithm through Common Radio Resource Management in heterogeneous wireless networks

Nowadays, mobile communication has become an essential for the human life. On the other hand, there is a booming in the developed technologies. So, the operators are facing a lot of problems for best utilizations of the operation of coexisting radio access technologies (RATs) that they may have. The RAT selection algorithm is one of the key research areas in Common Radio Resource Management (CRRM). CRRM is used to enhance the selection of the suitable RAT in the heterogeneous wireless networks (HWN). Selection of the suitable RAT maximizes the HWN performance and its Quality of Service (QoS) by allocating users to the most suitable RAT in the case of two or more RATs co-located in the same coverage area. This paper evaluates the performance of HWN with three different RATs. Four different CRRM RAT selection algorithms are compared, load balancing (LB), service based (SB), priority based (PB), and random selection (RS). The results of GERAN900, the best utilization of the available Radio Resource Units (RRUs) are occurred with the deployment of SB algorithm. On the other hand, the GERAN1800 is best utilized with the deployment of LB algorithm. Un-served users are minimized by operation with 40~43dBm transmutation power.