ABSTRACT
The major problems of most wireless technologies such as EDGE, HSPA, WiMax, HSPA+, WiFi G, WiFi and LTE are the imbalance of radio resources allocation as well as unfairness and difficulty to achieve unity index. These result in overstressing the networks while leaving some idle. This imbalance of resources amongst the networks brings about poor quality of service. Most researchers including Donoso et al (2014) tried to resolve the problem using different techniques such as the Round Robin Algorithm (RRA), the Least Connected Algorithm (LCA) and the Min- Max strategy. In an effort to resolve the same problems in heterogeneous wireless networks, the combination of Monte Carlo scheduling algorithm and Load leveling algorithm were used in this research as a developed algorithm for this purpose. The results obtained in this research were then compared with those from Donoso et al (2014). The improvement made by this developed 2- step algorithm of Monte Carlo and Load leveling algorithm achieved global fairness of 2.72% better than Donoso et al (2014), it also showed a strong and steady convergence towards unity which is the desired optimal index in fairness. The significance of the achieved result translates to better resource utilization among the wireless access technologies.