A Self-Organized Network for Load Balancing Using Intelligent Distributed Antenna System

作者：Hejazi Seyed Amin^*; Stapleton Shawn P

来源：Canadian Journal of Electrical and Computer Engineering, 2015, 38(2): 89-99.

DOI：10.1109/CJECE.2014.2366454

• Distributed antenna system (DAS)
• evolutionary algorithm (EA)
• load balancing
• self-optimization network (SON)

A high call-blocking rate is a consequence of an inefficient utilization of system resources, which is often 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. In order 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 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-based linear-constrained optimization problem, which tries to balance the load among the BTSs. An estimation distribution algorithm (EDA) as an evolutionary algorithm is proposed to solve the optimization problem. The computational results of the EDA algorithm demonstrate optimum performance for small-scale networks and near-optimum performance for large-scale networks. The EDA algorithm is faster with marginally less complexity than an exhaustive search algorithm.

• 出版日期2015