Energy-Efficient Power Allocation and User Association in Beamforming-Based Distributed mmWave Networks with MRC Optimization for Enhanced Performance

International Journal of Electronics and Communication Engineering

© 2025 by SSRG - IJECE Journal

Volume 12 Issue 6

Year of Publication : 2025

Authors : Phaneendra Jonnabhatla, T. Vimala, P. Mangayarkarasi, K. Sudhaman

10.14445/23488549/IJECE-V12I6P129

How to Cite?

Phaneendra Jonnabhatla, T. Vimala, P. Mangayarkarasi, K. Sudhaman, "Energy-Efficient Power Allocation and User Association in Beamforming-Based Distributed mmWave Networks with MRC Optimization for Enhanced Performance," SSRG International Journal of Electronics and Communication Engineering, vol. 12,  no. 6, pp. 364-382, 2025. Crossref, https://doi.org/10.14445/23488549/IJECE-V12I6P129

Abstract:

Since the wireless transmission of information has increased dramatically in recent years, Millimeter-Wave (mmWave) technologies have emerged as a viable option for high-speed communication networks. To enable efficient interaction within mmWave energy categories, many studies are being conducted, covering everything from device-level developments to system architecture, radio construction, and network optimization. Array antenna design is crucial for improving performance as beamforming has become a key technique to handle the high data rates required in these systems. This study proposes a unique framework that combines beamforming-based architecture, adaptable customer identification techniques, and environmentally friendly energy allocation with Maximum Ratio Combining (MRC) optimizations to address these challenges. While MRC enhances signal reliability and reduces disruption, the approach focuses on using beamforming to effectively direct energy transfer. To ensure fair resource allocation and steady interaction, a dynamic customer connection approach is employed. The results demonstrate that the framework improves network performance by 30% while reducing electrical consumption by up to 25% compared to conventional techniques. An adaptable customer connection approach enhances reliability, ensuring stable performance in high-density areas. The modified array antenna design significantly boosted beamforming performance, resulting in improved transmission speeds and reduced signal degradation. These findings highlight the effectiveness of the proposed strategy in addressing the reliability and power consumption issues of mmWave systems, making solutions for next-generation communication networks.

Keywords:

Millimeter-Wave Technology, Beamforming, Energy-Efficient Power Allocation, User Association, Maximum Ratio Combining Optimization, Array Antenna Design, High-Speed Communication Systems, Network Throughput, Signal Quality Enhancement, Dense Network Environments.

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