Emerging wireless communication networks, exemplified by the evolution from 5G to subsequent technologies, necessitate extensive connectivity among myriad devices to fuel the ongoing technological progress. However, the magnitude of this network demands an extensive power source, requiring an advanced and sustainable system to be practically deployable. This study introduces a cutting‐edge system utilising ambient RF signals for both wireless information transfer (WIT) and wireless power transfer. The proposed system addresses the energy deficiencies of billions of low‐powered wireless devices within the network. Wireless‐powered communication networks (WPCN) and simultaneous wireless energy and power transfer (SWIPT) technologies, operating on ambient RF signals, provide a solution for the energy requirements of these devices. Harvesting energy from ambient RF signals is pivotal for the signal transmissions of WPCN and SWIPT systems. The research focuses on enhancing the efficiency and feasibility of such systems, emphasising aspects like maximising energy efficiency (EE) and improving outage performance (OP). The paper underscores the ubiquitous connectivity resulting from node mobility and delves into the emerging models of WPCN and SWIPT, along with collaborative technologies integrated with these models. It explores resource allocation (RA), multiple‐input multiple‐output (MIMO) technology in the context of WPCN, and various aspects of relaying operations, including SWIPT‐MIMO and SWIPT receiver architecture. Conclusively, the comprehensive survey affirms that leveraging ambient RF signals for WIT and power transfer can significantly enhance EE, OP, RA, and overall network capabilities. This improvement positions the proposed system as a promising solution for meeting the connectivity demands of future wireless communication technologies.

According to a recent study, adding intelligent reflecting surfaces (IRS) to propagation environments improves the performance of wireless devices. The capabilities of cognitive radio’s spectrum sensing over environments with assisted wireless propagation via IRS are examined in this research. Taking channel fading effects into consideration, we derive closed-form analytical expressions for the average probability of detection (APD) for single user and cooperative users. Further, the derived APD expression is used to derive the average area under the receiver operating characteristics curve ( $${\overline{AUC}}$$AUC¯ ) expression. Monte Carlo simulations are also carried out in order to validate the derived expressions. Results demonstarte the extent of detectability performance in cognitive radio on utilizing the IRS aided wireless propagation environment therefore witnessing its significance for upcoming wireless technological advancement by offering spectrum efficiency with good quality of service (QoS).

Traditional encryption methods face significant challenges due to the rapid advancement of quantum computing, necessitating the use of quantum‐resistant solutions. Cryptographic hash functions are used by Sphincs+, a stateless hash‐based digital signature technique, to provide robust protection against quantum attacks. This research investigates the application of Sphincs+, alongside Dilithium and Falcon, to enhance the security of medical images, which are critical for diagnostic and therapeutic processes in healthcare. By utilising digital signatures for authentication and integrity verification, Sphincs+ mitigates risks associated with unauthorised tampering and data manipulation. The integration of Sphincs+ into medical imaging frameworks strengthens data security, ensuring long‐term resilience against quantum‐enabled threats while maintaining the reliability of healthcare records.