RIS Aided Residual Energy: PS and TS Mode Harvesting in Cooperative Spectrum Sensing
                                        
                                        
                                                                                            Time: 01 Jan 1970, 08:00
                                                Session: [RS1] Regular Session 1 » [RS1-1] Mobile computing, communications, 5G and beyond
                                                                                            Type: Oral Presentation
                                            
                                         
                                     
                                 
                                
                                
                                    Abstract:
                                    This work studies performance comparison on radio frequency (RF) energy harvesting (EH) in power splitting (PS) and time switching (TS) modes in reconfigurable intelligent
surfaces (RIS) aided cooperative spectrum sensing (CSS). CSS model considers multiple primary user (PU) nodes and a single PU emulation attacker (PUEA) node. A distant dependent model of reflected channel gain in RIS antenna is developed for calculating the harvested residual energy (RE). The primary objective is to maximize the total RE while meeting a predefined
detection and false alarm probabilities of PU along with the individual secondary user’s (SU’s) energy causality constraint. Simulation results show the efficacy of the proposed work due to the involvement of RIS antenna on total RE, as gain of about 45% and 38.97% for PS and TS mode compared to the existing works while maintaining the above mentioned constraints. Performance of RE with the change in the placement of RIS antenna near/far to PU is analyzed for both PS and TS mode.
                                 
                                
                                    
                                        Keywords:
                                        Cognitive radio, CSS, RIS, EH-CRN, PUEA
                                    
                                    Speaker: