Adaptive Resource Allocation in SWIPT-Enabled Cognitive IoT Networks

Integrating simultaneous wireless information and power transfer (SWIPT) and cognitive radio (CR) technologies into Internet-of-Things (IoT) networks, named SWIPT-enabled cognitive IoT networks, has become an effective approach to resolve the short lifetime of battery-constrained IoT Devices (IoDs) and spectrum scarcity. In this type of networks, IoDs are regarded as secondary users (SUs) being charged with wireless power. To improve the sum throughput of IoDs, we allow IoDs to switch among spectrum sensing, SWIPT and information transmission adaptively. Correspondingly, three-dimensional resources, i.e., time (for performing the three actions), power (including power transmitted from an IoT controller to each IoD and power for receiving information and charging at each IoD) and spectrum, are jointly and adaptively allocated to maximize the sum throughput of IoDs. Since the formulated problem is a mixed-integer nonlinear program (MINLP), we adopt an auxiliary variable to convert the original problem into a tractable problem, which is then solved by an efficient algorithm involving the Lagrangian dual method, the subgradient method and the multiple one-dimensional search algorithm. Simulation results show our adaptive design yields superior performance in terms of the sum throughput of IoDs.

Automated summary

Integrating SWIPT and CR technologies into IoT networks to create SWIPT-enabled cognitive IoT networks is an effective solution to address the short battery life of IoDs and spectrum scarcity. In these networks, IoDs act as secondary users charged with wireless power and are allowed to adaptively switch between spectrum sensing, SWIPT, and information transmission to maximize overall throughput. The problem is formulated as a MINLP and solved using an efficient algorithm involving the Lagrangian dual method, subgradient method, and one-dimensional search algorithm, with simulation results showing superior performance in terms of IoDs' total throughput.