TRANSMISSION PERFORMANCE ANALYSIS OF SWIPT NOMA-ASSISTED COGNITIVE RADIO SENSOR NETWORKS

Abstract

 Prompted by the swift rise in wireless capacity needs brought about by advanced multimedia applications (such as ultra-high-definition video and virtual reality) and the considerably growing requirement for user connectivity in the realm of the Internet of Things (IoT), the fifth generation (5G) networks encounter difficulties in handling extensive and diverse data traffic. Non-orthogonal multiple access (NOMA), a recent proposal for the 3rd Generation Partnership Project's Long-Term Evolution Advanced (3GPP-LTE-A), emerges as a promising technology to tackle the aforementioned challenges in 5G networks. This is achieved by accommodating multiple users within the same orthogonal resource block. Recently, NOMA has garnered considerable attention as a strong candidate for multiple access technology, utilizing both power domain allocation and advanced receiver techniques. This paper concentrates on both Cognitive Radio Sensor Networks (CRSN) and NOMA technology represent highly efficient spectral utilization techniques for the future of wireless communication networks. This paper introduces an innovative cooperative NOMA transmission approach incorporating Simultaneous Wireless Information and Power Transfer (SWIPT) within CRSN. In this novel scheme, a secondary transmitter (ST) operates as a decode-and-forward relay, facilitating the forwarding of primary data while simultaneously harnessing energy through SWIPT. In exchange, the ST gains the capability to transmit its own signals over the same resource, employing the NOMA technique within the secondary system. This research asserts that the energy cooperative cognitive NOMA system has the potential to enhance both outage and throughput performance. Moreover, we succinctly outline the challenges observed in previous NOMA research contributions and propose potential remedies. We emphasize the principal advantages that SWIPT-NOMA holds over other existing NOMA techniques. In conclusion, we provide explicit design guidelines for crafting NOMA systems and identify highly promising directions for future research efforts.

Keywords: NOMA, CRSN, Superposition Coding, Successive Interference Cancellation, SWIPT.