Energy-Efficient Adaptive Directional Queue-Stable Stochastic Scheduling for SWIPT in NOMA

In upcoming 5G networks, non-orthogonal multiple access (NOMA) is emerging as a way to improve network performance. Along with NOMA, Simultaneous wireless information and power transfer (SWIPT) is also receiving a lot of attention as a way to increase the energy efficiency of devices such as IoT. In this paper, we propose an energy efficient network by combining SWIPT and NOMA. In the model proposed in this paper, there is a BS with an adaptive directional antenna, and the signal is transmitted through NOMA. Nodes get data and energy using SWIPT with Power split (PS). In the adaptive directional antenna model, each directional antenna can be turned off and on as needed, our goal is to minimize the energy transmitted by the BS. However, we need to ensure the stability of the two queues, not just minimizing them. We define two queues based on battery and data, and minimize the transmit power of the BS within the range to ensure the stability of the two queues. To address this problem, this paper proposes an efficient algorithm based on Lyapunov drift optimization. Numerical results show that the proposed algorithm in SWIPT-based NOMA environment minimizes the energy consumption of BS while ensuring the stability of each node's battery and data queue.