Title: Multi-objective resource allocation for satellite-based cognitive IoT communications using power-domain NOMA

Authors: Jizheng Yang; Amin Mohajer

Addresses: School of Electronic Information Engineering, Henan Polytechnic Institute, Nanyang, Henan, 473000, China ' Department of Electrical and Computer Engineering, The University of British Columbia (UBC), Vancouver, BC V6T 1Z4, Canada

Abstract: The rapid growth of IoT devices and the demand for efficient data transmission have made advancements in satellite communication essential. This paper introduces a novel framework for multi-objective resource allocation in satellite-based cognitive IoT communications using power-domain NOMA. Our method integrates serverless computing and multi-objective optimisation to enhance satellite network performance. The framework dynamically manages resources like bandwidth and power, ensuring low latency and optimal performance using backhaul traffic optimisation. Key steps include analysing network data to predict future needs, employing real-time functions for adaptive resource allocation, and using multi-objective optimisation to configure satellite constellations for minimal latency, reduced power consumption, and maximised throughput. Extensive simulations validate the framework's effectiveness, demonstrating significant improvements in data rate, energy efficiency, and overall performance. Specifically, our proposed NOMA.QAM framework achieves a 25% reduction in bit error rate (BER) and a 30% increase in spectral efficiency compared to traditional NOMA with SIC. Additionally, it demonstrates a 20% improvement in energy efficiency, highlighting its potential for energy-constrained applications. These results indicate that the integration of power-domain NOMA with serverless computing and multi-objective optimisation provides a promising solution for advancing satellite-based cognitive IoT communication systems, ensuring efficient, reliable, and scalable network management.

Keywords: cognitive IoT; multi-objective optimisation; satellite communications; dynamic resource management; power-domain NOMA.

DOI: 10.1504/IJMC.2026.151580

International Journal of Mobile Communications, 2026 Vol.27 No.2, pp.111 - 146

Received: 26 Aug 2023
Accepted: 28 Oct 2024
Published online: 09 Feb 2026 *

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