Energy Efficiency Fairness of Active Reconfigurable Intelligent Surfaces-Aided Cell-Free Network

Reconfigurable intelligent surface (RIS) has been widely recognized as a promising technique for future wireless communications. Benefiting from its ability to improve channel capacity with low cost and power consumption, the concept of RIS-aided cell-free network is proposed break bottleneck current architecture. However, multiplicative fading effect (MFE) introduced by RIS prevents higher capacity. To further increase network, in this paper, we propose active where replaced traditional network. Moreover, analyze investigating energy-efficiency fairness (EEF). elaborate, formulate EEF maximization problem joint beamforming resource allocation (JBRA) algorithm exploiting alternating optimization (AO) fractional programming (FP). Simulations results verify well JBRA an energy-efficient design large