Performance analysis of Elliot wave theory in Wireless Communication

Time variant signal forecast is difficult in nature, due to random fluctuations in amplitude and phase of the signal. But prediction improves the quality of service for the end users. Elliot wave theory is generally used for predicting financial market trends. In this paper, we investigate applicability and possibility of Elliot Wave Theory in signal strength prediction to mobile communications. Elliot wave theory is independent of fading environment, distance between the user and the base station and height of the antenna. With the help of prior signal samples from the Elliot wave, it is possible to predict the future samples without any additional overhead. This algorithm is tested in real life environment, both for the pedestrian users and for the users moving at an average speed of 60 Km/Hr., The algorithms performance is evaluated by comparing the predicted result with the practical signal strength at their corresponding time. This result shows the algorithm provides 62% of successful prediction.