Autonomous Reconfigurable Intelligent Surfaces Through Wireless Energy Harvesting

Abstract

In this paper, we examine the potential for a reconfigurable intelligent surface (RIS) to be powered by energy harvested from information signals. This feature might be key to reap the benefits of RIS technology's lower power consumption compared to active relays. We first identify the main RIS powerconsuming components and then propose an energy harvesting and power consumption model. Furthermore, we formulate and solve the problem of the optimal RIS placement together with the amplitude and phase response adjustment of its elements in order to maximize the signal-to-noise ratio (SNR) while harvesting sufficient energy for its operation. Finally, numerical results validate the autonomous operation potential and reveal the range of power consumption values that enables it.

Enhanced IoT Batteryless D2D Communications Using Reconfigurable Intelligent Surfaces

“…(7b), (7e), ( 9), ( 10) 11) is efficiently solved via existing optimization techniques. Since the optimal solution to (11) is not necessarily binary in general, we apply the first order Taylor series expansion at feasible point * 1 in the objective function of (7a) and (7e).…”

“…For energy harvesting, the authors in [10] used the RIS panel to enhance wireless power transfer from the BS to non-line-of-sight (NLOS) links to maximize the minimum harvested power. The authors in [11] and [12] proposed energy harvesting to empower the RIS panel. In our previous efforts in [13], we showed a trade-off between RIS panels with active and passive elements energy consumption and energy harvested from BS RF signals.…”