Finney Daniel Shadrach , K. Vidhya , K. Palraj , C. Chandru Vignesh , Sultan Almotairi , M. Jenish Dev
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引用次数: 0
Abstract
This research proposes a unique Hexagonal Mobile net for channel estimation and signal identification (Hexa-M), which uses conventional OFDM-NOMA with Hexagonal Quadrature Amplitude Modulation (HQAM) as pilot symbols. Proposed Hexa-M model improves performance, such as in urban 5G networks or IoT setups, highlighting energy efficiency and reduced error rates. The proposed paradigm employs three model of pilot insertion: Comp, Block, and Hexa type. The Hexa-M can detect symbols for all users and at the receiver, it achieves joint flexible signal detection. The HQAM provides superior error performance compared to comparable detectors. Real-world applications of Hexa-M include its potential for improving energy efficiency and reducing latency in urban 5G networks, IoT systems, and resource-constrained environments. The Hexa-M method outperforms current approaches in terms of energy efficiency, outperforming existing strategies by 16.09 %, 19.23 %, 23.2 %, 28 %, and 31 %, respectively.
期刊介绍:
in Shams Engineering Journal is an international journal devoted to publication of peer reviewed original high-quality research papers and review papers in both traditional topics and those of emerging science and technology. Areas of both theoretical and fundamental interest as well as those concerning industrial applications, emerging instrumental techniques and those which have some practical application to an aspect of human endeavor, such as the preservation of the environment, health, waste disposal are welcome. The overall focus is on original and rigorous scientific research results which have generic significance.
Ain Shams Engineering Journal focuses upon aspects of mechanical engineering, electrical engineering, civil engineering, chemical engineering, petroleum engineering, environmental engineering, architectural and urban planning engineering. Papers in which knowledge from other disciplines is integrated with engineering are especially welcome like nanotechnology, material sciences, and computational methods as well as applied basic sciences: engineering mathematics, physics and chemistry.