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Ant-colony and nature-inspired heuristic models for noma systems: a review

Law, Poh Liyn and Ab. Ghani, Hadhrami and Roslim, Farah Najwa and Amir Hamzah, Nur Asyiqin and Mohammed, Saeed Mohammed Abdulghani and Abdul Aziz, Nor Hidayati and Abd. Aziz, Azlan and Tan, Kim Geok and Azizan, Azizul (2020) Ant-colony and nature-inspired heuristic models for noma systems: a review. Telkomnika (Telecommunication Computing Electronics and Control), 18 (4). pp. 1754-1761. ISSN 1693-6930


Official URL: http://dx.doi.org/10.12928/TELKOMNIKA.V18I4.14995


The increasing computational complexity in scheduling the large number of users for non-orthogonal multiple access (NOMA) system and future cellular networks lead to the need for scheduling models with relatively lower computational complexity such as heuristic models. The main objective of this paper is to conduct a concise study on ant-colony optimization (ACO) methods and potential nature-inspired heuristic models for NOMA implementation in future high-speed networks. The issues, challenges and future work of ACO and other related heuristic models in NOMA are concisely reviewed. The throughput result of the proposed ACO method is observed to be close to the maximum theoretical value and stands 44% higher than that of the existing method. This result demonstrates the effectiveness of ACO implementation for NOMA user scheduling and grouping.

Item Type:Article
Uncontrolled Keywords:ant-colony, heuristic, orthogonal
Subjects:T Technology > T Technology (General)
Divisions:Razak School of Engineering and Advanced Technology
ID Code:90356
Deposited By: Yanti Mohd Shah
Deposited On:30 Apr 2021 22:48
Last Modified:30 Apr 2021 22:48

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