Description

The channel state informations of a network describes the properties in the network during the transmission of a signal from sender to the receiver. Using the channel state informations the networks can be optimized and the calculation of the time delay and Estimation error will help to find the optimal relay nodes. In a relay network there will be a single sender and receiver. The signal will be transmitted between the source and the destination nodes via the relay nodes. The performance of the process is measured by calculating the BER (Bit Error Rate) and SNR (Signal To Noise Ratio). The proposed method produces better performance compared to the previous studies of calculation of the Channel state Informations. The channel state informations describes how a signal propagates from the transmitter to the receiver and represents the combined effect of, for example, scattering, fading, and power decay with distance. The CSI makes it possible to adapt transmissions to current channel conditions, which is crucial for achieving reliable communication with high data rates in multiantenna systems. Instantaneous CSI (or short-term CSI) means that the current channel conditions are known, which can be viewed as knowing the impulse response of a digital filter. This gives an opportunity to adapt the transmitted signal to the impulse response and thereby optimize the received signal for spatial multiplexing or to achieve low bit error rates. Statistical CSI (or long-term CSI) means that a statistical characterization of the channel is known. This description can include, for example, the type of fading distribution, the average channel gain, the line-of-sight component, and the spatial correlation. As with instantaneous CSI, this information can be used for transmission optimization. Relay technique is capable of extending communication range and coverage. To maximize the benefit of relay technique, various protocols were proposed, which include fixed relaying schemes, selection relaying schemes, and incremental relaying schemes. In the proposed work the Amplitude Forward Relay is taken and the optimization methods were employed to improve the CSI in the relay network. The time delay and estimation error were chosen to optimize the relay network. The delay of a network specifies how long it takes for a bit of data to travel across the network from one node or endpoint to another. It is typically measured in multiples or fractions of seconds. The Beamforming matrix is employed for producing the optimized relay networks. The proposed method is capable of the optimization of the relay network in an efficient manner. Delay may differ slightly, depending on the location of the specific pair of communicating nodes. The performance of the process is measured through the Bit error rate and Mean Square Error.