Multichannel Power Constraints-Based SNR Estimation for the non-cooperative and cooperative scenarios of multi-user Wireless Network

Cooperative communication holds a significant task in Wireless Networks (WNs) by enhancing communication reliability, power, efficiency, and network connectivity. In addition, cooperative com-munication also enables the progression of a well-organized method for improving the WN quality. Moreover, it facilitates the exploitation of communicating resources by permitting the pathways and nodes in a network to assist in the transmission of data. In this research, a Multi-Channel Power Constraints-Based SNR Estimation (MCPC-SNR Estimation) is considered with source node to destination node and relay node to destination node. Also, three probabilistic models like joint entropy, mutual information, and correlation are considered for SNR parameters. Rather than considering the signals with the current information of signal and channel, we consider signal-to-noise ratio combining the method with static and dynamic Signal to Noise Ratio (SNR) estimation for the non-cooperative and cooperative scenarios. Finally, an assessment of the Multi-Channel Power Constraints-Based SNR Estimation (MCPC-SNR) model shows that the power allocations at the source, as well as relay nodes for transmissions, and the destination and relay nodes, have a notable effect on the Bit Error Rate (BER) performance for power-constrained cooperative communications. The analysis proves that the proposed work ensures a much lower Bit Error Rate (BER) for almost all timing error variations, which probably reaches 0.005.(c) 2023 Elsevier B.V. All rights reserved.