Green energy harvesting protocols for intelligent wireless communication systems
With the exponential growth of economical and sophisticated user devices in the digitized world, the competence of communicating high volume of data such as high-definition videos or high-quality multimedia has become users' requirements nowadays. However, spectral-efficient networking for high-speed data and self-sustainability in energy are two major trade-offs in design of energy-aware next-generation wireless communications. Efficient utilization of energy resources reduces the cost of power consumption that can improve the economic characteristics of the network. In this chapter, we investigate the energy and quality-ofservice (QoS) aware smart services using artificial intelligence (AI) assisted automated wireless communications, describes the novel energy state prediction model, online optimization algorithms for energy-harvesting (EH), and enhancement of autonomy by maximizing the throughput based on self-sustainability. The intelligent power management technological developments while satisfying the desired QoS paving the way for AI-powered mechanisms in future wireless networking applications.
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