Finding Error Correction of Bandwidth on Demand Strategy for GPRS Using Constant Modulus Algorithm G

In this paper an attempt is made to Study behavior of the Constant Modulus Algorithm (CMA) as used to adapt a Fractionally Spaced Equalizer (FSE).It is illustrated below using simple examples. Some important conclusions are then drawn from these examples: (1) in the presence of noise or channel under modeling, proper initialization may be necessary to successfully equalize the channel, and (2) channels containing nearly reflected roots exhibit high levels of noise gain. Classical Equalization techniques employ a timeslot during which a training signal known in advance by the receiver is transmitted. As inclusion of such signals sacrifices valuable channel capacity To avoid this disadvantage Here we are using the BERGulator which is a MATLAB 5-based interactive simulation tool aimed to generate CMA for studying the behavior of the Constant Modulus Algorithm (CMA). By adjusting channel coefficients,dB SNR, and selecting appropriate channel type, spacing we can obtain perfect Equalizability with well behaved channel which reduces ISI at the receiver. General packet radio service is a global system for mobile communications.Packet data service which provide efficient access to the internet from mobile networks. In order to efficiently accommodate internet traffic that is bursty in nature while maintaining the desire service quality of GSM calls. We propose a GPRS bandwidth allocation strategy called bandwidth on demand strategy. The BOD strategy is adaptive to the change of traffic conditions and thus dynamically adjusts the number of channels for GSM and GPRS traffic loads. We also propose a analytical model to study the GSM call blocking probability and GPRS dropping probability. Based on the analytical model an iteration algorithm is proposed to determine the optimum bandwidth allocation strategy for GSM and GPRS traffic loads. We are newly implement the CMA algorithm to reduce the error rates. To determine the optimum values.