HAPs-Assisted Cognitive Radio with UE Capability-Centered Cooperation
Sadia Khaf, Georges Kaddoum, Majid L Altamimi · 2024
In recent years, non-terrestrial network (NTN) communication has gained a significant interest with regard to its capacity to provide coverage in remote areas where deploying a terrestrial network (TN) may not be an option. A growing ecosystem between NTN service providers and TN providers is also developing in high-density urban areas where high-altitude platform stations (HAPs) can provide additional coverage. Maximizing energy efficiency of user equipment (UE) and spectral efficiency of both TN and NTN while minimizing interference to TN’s primary users (PU) and mutual interference of user equipment (UEs), all the while respecting the quality of service (QoS) constraints of all UEs is an NP-hard non-convex mixed integer problem requiring novel, adaptive, and scalable solutions. This paper presents a cooperative algorithm focused on UEs’ capabilities that optimizes sensing and transmission based on their sensing and computing capabilities to maximize their energy efficiency while respecting QoS constraints. The proposed algorithm adapts to the existing UEs or new ones joining the network by facilitating knowledge transfer among cooperative . The proposed algorithm relies on coalition structures for resource sharing, scalability, and cooperative mitigation of sensing data falsification (SDF) attacks. We test the algorithm’s performance in dense urban environments as per 3GPP specifications for channel and interference models and demonstrate the algorithm’s adaptability to new UEs entering or leaving the network.