PROJECT TITLE :
A Self-Organized Network for Load Balancing Using Intelligent Distributed Antenna System [4pt]Un réseau auto-organisé pour l’équilibrage de charge utilisant un système intelligent d’antenne
A high decision-blocking rate is a consequence of an inefficient utilization of system resources, that is usually caused by a load imbalance in the network. Load imbalances are common in wireless networks with a large number of cellular users. This paper investigates a load-balancing scheme for mobile networks that optimizes cellular performance with constraints of physical resource limits and users’ quality of service demands. So as to efficiently utilize the system resources, an intelligent distributed antenna system (IDAS) fed by a multibase transceiver station (BTS) has the ability to distribute the system resources over a given geographic area. To enable load balancing among distributed antenna modules, we tend to dynamically allocate the remote antenna modules to the BTSs using an intelligent algorithm. A self-organized network (SON) for an IDAS is formulated as an integer-primarily based linear-constrained optimization drawback, which tries to balance the load among the BTSs. An estimation distribution algorithm (EDA) as an evolutionary algorithm is proposed to unravel the optimization problem. The computational results of the EDA algorithm demonstrate optimum performance for small-scale networks and close to-optimum performance for giant-scale networks. The EDA algorithm is faster with marginally less complexity than an exhaustive search algorithm.
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