Adaptive Real-time Multi-user Access Network Selection Algorithm for Load-balancing over Heterogeneous Wireless Networks

The coexistence of several wireless technologies gives users a wide connectivity choice. However, in this heterogeneous context with the even growth of multimedia data demand and continuous amendments of network conditions, the best network selection represents a crucial issue. In this paper the authors propose a novel Adaptive Real-time Multi-user Access Network Selection (ARMANS) load balancing algorithm, taking into account not only the real-time global traffic load on each network, but also considering the different classes of traffic. The simulation results show that the proposed solution improves both QoS and load balancing in comparison with the case when a classic network selection with no traffic type load balancing is employed.