Intelligent resource allocation scheme for the cognitive radio network in the presence of primary user emulation attack

An energy-efficient cognitive radio network (CRN) design is one of the primary requirements for the low-battery-driven wireless terminals in the presence of primary user emulation attack. Furthermore, sensing accuracy is also essential for allocating vacant bands to the secondary users (SUs) for data transmission. Hence, this study focuses on designing an energy-efficient double threshold-based CRN. The adversarial effects arising in the presence of the attacker are analysed and are treated as constraints while formulating the energy efficiency (EE) maximisation problem. To develop the formulation, a unique SU selection algorithm to identify most eligible SUs for data transmission is proposed. The EE is then maximised by minimising the total power consumption through novel adaptive resource allocation algorithm. Hence, the authors proposed approaches are based on the suitable selection of SUs and adaptive power allocation under the constraints of maximum throughput, controlled transmission power providing sufficient protection to the primary user, minimum power consumption and minimum false alarm probability. The extensive simulation results demonstrate that the proposed scheme substantially increases EE with lower complexity over the conventional scheme.