Power-Efficient Multimodal Data Transmission via NOMA with Optimal SIC Ordering

In the context of promoting intelligence and informatization, multimodal perception surveillance systems have become a promising solution for comprehensive environmental monitoring across different dimensions. However, these systems face key challenges in processing and transmitting heterogeneous da...

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Bibliographic Details
Published in2024 IEEE/CIC International Conference on Communications in China (ICCC) pp. 48 - 53
Main Authors Wang, Tianshun, Li, Yang, Feng, Panpan, Gao, Yun, Wei, Xin, Ren, Qilei
Format Conference Proceeding
LanguageEnglish
Published IEEE 07.08.2024
Subjects
Accuracy
Computational efficiency
Interference cancellation
multimodal data transmission
NOMA
Non-orthogonal multiple access
Resource management
Search methods
successive interference cancellation
Surveillance
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Summary:In the context of promoting intelligence and informatization, multimodal perception surveillance systems have become a promising solution for comprehensive environmental monitoring across different dimensions. However, these systems face key challenges in processing and transmitting heterogeneous data from various perceptrons, which requires effective resource allocation strategies. This paper addresses this challenge by integrating non-orthogonal multiple access (NOMA) into the communication framework of multimodal perception surveillance systems to improve the efficiency of multimodal data transmission. Specifically, this paper proposes a new search algorithm that combines binary space compression with cross entropy (CE) algorithm to optimize the efficient allocation of limited spectrum resources and the successive interference cancellation (SIC) ordering of the perceptrons. The proposed ordering compression-based CE (OCCE) algorithm treats the binary encoding of SIC ordering as a stochastic learning process, which significantly reduces computational complexity while ensuring the accuracy of the optimal solution. Meanwhile, we also obtained an iterative analytical formula for the optimal transmit-powers of the perceptrons through mathematical analysis. The numerical results verify the effectiveness of the proposed algorithm in optimizing the resource allocation of the multimodal perception surveillance system, as well as its superior performance in terms of accuracy and computational efficiency.
DOI:10.1109/ICCC62479.2024.10681820