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Adaptive Rate Maximization and Hierarchical Resource Management for Underlay Spectrum Sharing NOMA HetNets with Hybrid Power Supplies

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Abstract

In this paper, we study a cognitive radio wireless-powered communication network with an integrated intelligent reconfigurable surfaces system. Actually, massive connectivity and limited energy are the primary challenges to implementing ultra-reliable and low-latency services, as it is extremely difficult to maintain the quality of service and manage the connection of a huge number of users to small cells. So, this paper investigates the application of NOMA-based simultaneous wireless information and power transfer (SWIPT) for massive mobile systems in which the underlay spectrum sharing network is designed to mitigate the interlayer interference such that interference with the primary network is kept less than a predefined level. Problem modeling takes into account residual hardware impairments and channel estimation errors under practical conditions. The communications between the servers and users of NOMA-based small cells are accomplished via an interference-limited multihop connection through intermediate relays. Based on the partial relay selection (PRS) protocol, an optimal relay is selected from K relays to transmit the received signal to multiple user equipment, namely, the far users (FU) and the near users (NU). In addition, to maximize the system total throughput, we formulate the transmitter (Tx)-relay-receiver (Rx) matching problem, which is a mixed-integer nonlinear programming (MINLP) problem. To address this nondeterministic polynomial-time NP-hard problem, we applied a gradient algorithm to obtain a stable matching. The impact of the transmission power, the number of Tx/Rx pairs, and the number of intermediate relays on the sum rate are investigated. Based on the simulation results, the hardware failure parameter has a negative impact on system performance, whereas the channel estimation index is always advantageous to outage probability (OP). Also, the analysis of the energy efficiency and key performance indicators proves that the proposed approach outperforms other similar schemes from the power saving and QoS assurance perspectives.

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Authors and Affiliations

  1. College of Computer and Software, Chengdu Jincheng College, Sichuan, 611731, Chengdu, China

    Huaqiong Duan

  2. Department of computer Engineering, Ardabil Branch, Islamic Azad University, Ardabil, Iran

    Abbas Mirzaei

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  1. Huaqiong Duan
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Duan, H., Mirzaei, A. Adaptive Rate Maximization and Hierarchical Resource Management for Underlay Spectrum Sharing NOMA HetNets with Hybrid Power Supplies. Mobile Netw Appl 28, 1145–1161 (2023). https://doi.org/10.1007/s11036-023-02129-3

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