Regional Resource Allocation Algorithm and Simulation of the Adaptive Array Antenna

Abstract

Array structure is adopted in adaptive array antenna of mobile base station, and the spatial cutting technique is used to divide the coverage area of base station into many differentiated small regions, improve utilizations of the system resources, reduce system interference and increase system capacity. This paper analyzes the space partitioning theory of adaptive array antenna signals, presents the traditional resource allocation algorithm of the adaptive array antenna area: resource fixed regional resource allocation algorithm and maximum and minimum regional resource allocation algorithm. Concerning problems existing in the traditional resource allocation algorithm of the adaptive array antenna area, the allocation algorithm for improvement of regional resources based on minimum standard deviation was put forward, and the principles of its regional resource allocation and calculation methods were introduced. Through simulation of call blocking rates for these three regional resource allocation algorithms, we can know that, the regional resource allocation algorithm of minimum standard deviation can reduce the call blocking rate compared with the traditional regional resource allocation algorithm, and the result in load balancing was best.