Elaris Computing Nexus
Joint Time Frequency Resource Allocation for Multi User Signal Processing Under Interference Constraints
Elaris Computing Nexus
Received On : 02 March 2025
Revised On : 06 May 2025
Accepted On : 30 May 2025
Published On : 26 June 2025
Volume 01, 2025
Pages : 073-082
Abstract
This paper presents an innovative mathematical model aimed at enhancing wireless network performance by reducing interference leakage while maximizing throughput and ensuring fairness among users. The model combines an adaptive power allocation system with SINR thresholds that are based on the user to manage resources well in multi-user communication systems. Extensive simulations show that the proposed method works: interference leakage is cut by up to 28% compared to standard allocation schemes, and system throughput goes up by 15–20% at different power levels. The Jain's index shows that fairness among users goes up from 0.72 to 0.91 as the network load increases. This means that resources are being shared fairly. The proposed framework's uniqueness is in its ability to optimize interference leakage, throughput, and fairness all at once using a single mathematical formulation. This has not been done in previous studies. These findings indicate that the model is a resilient solution for next-generation wireless networks, facilitating scalable and high-performance communication in densely populated multi-user settings.
Keywords
Interference Leakage, SINR Threshold, Throughput Optimization, Fairness Index, Adaptive Power Allocation, Wireless Networks.
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CRediT Author Statement
The authors confirm contribution to the paper as follows:
Conceptualization: Toshihiro Endo and Nobuyuki Hozumi; Writing-Original Draft Preparation: Toshihiro Endo; Visualization: Toshihiro Endo and Nobuyuki Hozumi; Investigation: Nobuyuki Hozumi; Writing-Reviewing and Editing: Toshihiro Endo and Nobuyuki Hozumi; All authors reviewed the results and approved the final version of the manuscript.
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Author(s) thanks to Dr. Nobuyuki Hozumi for this research completion and support.
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Cite this Article
Toshihiro Endo and Nobuyuki Hozumi, “Joint Time Frequency Resource Allocation for Multi User Signal Processing Under Interference Constraints”, Elaris Computing Nexus, pp. 073-082, 2025, doi: 10.65148/ECN/2025008.
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© 2025 Toshihiro Endo and Nobuyuki Hozumi. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.