Simulation Evaluation of Least Mean Square (LMS) Adaptive Beamforming Algorithm for Smart Antennas

The demand for increased capacity in wireless communication networks has motivated recent research activities toward wireless systems that exploit the concept of smart antenna and space selectivity. The deployment of smart antenna at existing cellular base station installations has gained enormous interest because it has the potential to increase cellular system capacity, extend radio coverage and improve quality of services. These smart antennas dynamically adapt to changing traffic requirements. The core of smart antenna is the selection of smart algorithms in adaptive array. Using beamforming algorithms, the weight of antenna arrays can be adjusted to form certain amount of adaptive beam to track corresponding users automatically and at the same time to minimize interference arising from other users by introducing nulls in their directions. Thus interferences can be suppressed and the desired signals can be extracted. The complex weight computations based on different criteria are incorporated in the digital signal processor in the form of software algorithms. This research work focuses on developing computer model and simulation of smart antenna system based on Least Mean Square (LMS) adaptive beamforming algorithm with particular emphasis on applications to mobile cellular networks