Abstract
The sixth generation (6G) communication creates a fully connected world of terrestrial wireless and satellite communications, which achieves global seamless coverage. To obtain the tripartite balance of spectrum efficiency, system throughput and complexity at the receiving end, clustered-NOMA (C-NOMA) is recommended. With Low Altitude Platform Station like the UAV for strengthening communication in certain areas, and High Altitude Platform Station (HAPS) for ensuring a wide coverage, we put forward the C-NOMA-enabled 6G IoT system with one HAPS and multiple UAVs, and investigate the resource optimization problem of subchannel allocation and power control to maximize the overall system uplink achievable sum rate. Due to the strong coupling between aforementioned factors, it is a mixed integer nonlinear programming (MINLP) problem. Therefore, we model the problem as a many-to-one matching game to solve in a distributed manner, where UAVs and subchannels acting as two sets of players. Both theoretical analysis and simulations show that the proposed approach outperforms previous solutions in terms of system uplink sum rate with relatively low complexity.
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Qin, P., Zhu, Y., Zhao, X., Liu, J. (2022). Sum Rate Maximization for 6G IoT Resource Allocation: A Matching Approach. In: Liang, Q., Wang, W., Liu, X., Na, Z., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2021. Lecture Notes in Electrical Engineering, vol 878. Springer, Singapore. https://doi.org/10.1007/978-981-19-0390-8_12
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DOI: https://doi.org/10.1007/978-981-19-0390-8_12
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