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TY - JOUR AU - Soni, Lav AU - Taneja, Ashu PY - 2025 DA - 2025/06/30 TI - Joint Design of Energy-Efficient MIMO Receiver and Power Allocation for Spatial NOMA in Miniature UAV-Assisted IoT Networks JO - ICCK Transactions on Wireless Networks T2 - ICCK Transactions on Wireless Networks JF - ICCK Transactions on Wireless Networks VL - 1 IS - 1 SP - 42 EP - 50 DO - 10.62762/TWN.2025.484759 UR - https://www.icck.org/article/abs/TWN.2025.484759 KW - wireless network KW - 5G KW - AI KW - network virtualization KW - 6G AB - The work presents a joint design framework that combines an energy-efficient MIMO receiver architecture with an optimized power allocation strategy for spatial NOMA in miniature UAV-assisted IoT networks. Specifically, we design a low-power receiver using spatial modulation and intelligent transmit antenna selection to minimize energy usage. Simultaneously, a dynamic power allocation scheme is developed to ensure fairness by allowing all users to act as active data users in different time slots. The air-to-ground channel is modeled by considering UAV altitude, mobility, and probabilistic line-of-sight characteristics. Simulation results demonstrate that at a UAV altitude of 50 meters, the proposed method achieves a peak energy efficiency of approximately 7.8 bits/Joule, compared to 6.0 bits/Joule for traditional NOMA schemes. The system also maintains a target user data rate of 2 bits/s/Hz and performs optimally at a transmit power of 20 dBm and UAV velocity of 5 m/s. These results highlight the effectiveness of jointly optimizing receiver design, power control, and UAV parameters to achieve sustainable and high-performance communication in future 6G-enabled IoT networks. SN - 3068-7721 PB - Institute of Central Computation and Knowledge LA - English ER -
@article{Soni2025Joint,
author = {Lav Soni and Ashu Taneja},
title = {Joint Design of Energy-Efficient MIMO Receiver and Power Allocation for Spatial NOMA in Miniature UAV-Assisted IoT Networks},
journal = {ICCK Transactions on Wireless Networks},
year = {2025},
volume = {1},
number = {1},
pages = {42-50},
doi = {10.62762/TWN.2025.484759},
url = {https://www.icck.org/article/abs/TWN.2025.484759},
abstract = {The work presents a joint design framework that combines an energy-efficient MIMO receiver architecture with an optimized power allocation strategy for spatial NOMA in miniature UAV-assisted IoT networks. Specifically, we design a low-power receiver using spatial modulation and intelligent transmit antenna selection to minimize energy usage. Simultaneously, a dynamic power allocation scheme is developed to ensure fairness by allowing all users to act as active data users in different time slots. The air-to-ground channel is modeled by considering UAV altitude, mobility, and probabilistic line-of-sight characteristics. Simulation results demonstrate that at a UAV altitude of 50 meters, the proposed method achieves a peak energy efficiency of approximately 7.8 bits/Joule, compared to 6.0 bits/Joule for traditional NOMA schemes. The system also maintains a target user data rate of 2 bits/s/Hz and performs optimally at a transmit power of 20 dBm and UAV velocity of 5 m/s. These results highlight the effectiveness of jointly optimizing receiver design, power control, and UAV parameters to achieve sustainable and high-performance communication in future 6G-enabled IoT networks.},
keywords = {wireless network, 5G, AI, network virtualization, 6G},
issn = {3068-7721},
publisher = {Institute of Central Computation and Knowledge}
}
Copyright © 2025 by the Author(s). Published by Institute of Central Computation and Knowledge. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. 
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