Energy Efficiency Analysis of Active RIS-enhanced Wireless Network under Power-Sum Constraint
Jingdie Xin, Yan Wang, Feng Shu, Feng Zhao, Yifan Zhao, Hao Jiang

TL;DR
This paper analyzes the energy efficiency of active RIS-enhanced wireless networks, deriving a formula based on key factors, and compares active and passive RIS performance, revealing conditions where active RIS outperforms passive RIS.
Contribution
The paper provides a novel analytical framework for evaluating the energy efficiency of active RIS in wireless networks, including impact assessment of key parameters and comparison with passive RIS.
Findings
Active RIS outperforms passive RIS when the number of elements is below a threshold.
The energy efficiency formula accurately predicts performance for medium to large-scale RIS.
Simulation confirms the theoretical intersection point where active and passive RIS efficiencies are equal.
Abstract
Recently, as a green wireless technology, active reconfigurable intelligent surface (RIS) attracts numerous research activities due to its amplifying ability to combat the double-fading effect compared to passive one. How about its energy efficiency (EE) over passive one? Below, the EE of active RIS-aided wireless network in Rayleigh fading channels is analyzed. Using the law of large numbers, EE is derived as a function of five factors: power allocation factor, the number (N) of RIS elements, the total power, the noise variances at RIS and at user. To evaluate each factor's impact, the simple EE function for the concerning factor is given with others fixed. To assess the impact of N on EE, we establish an equation with the EE of active RIS equaling that of passive one, and three methods, bisection, Newton's method, and simulated annealing, are designed to find the roots of this…
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Taxonomy
TopicsAdvanced Wireless Network Optimization · Wireless Communication Networks Research · Advanced MIMO Systems Optimization
