Uloh, Christopher O. and Ubom, Emmanuel A. and Obot, Akaniyene U. and Ukommi, Ubong S. (2024) Interference Mitigation and Power Consumption Reduction for Cell Edge users in Future Generation Networks. Journal of Engineering Research and Reports, 26 (2). pp. 89-106. ISSN 2582-2926
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Abstract
In 5G heterogeneous networks (HetNets), a unique and promising option to address the growing demand for higher data rates is network densification of small cells (SCs) and macro cells (MCs). Unfortunately, the 5G HetNets are suffering severe issues due to the interference caused by these densely populated SCs and their high-power consumption. To lessen interference and boost network throughput, a New Soft Frequency Reuse (NSFR) technique is put forth in this work. The proposed scheme uses the Soft Frequency Reuse (SFR) for on/off switching of the SCs according to their Interference Contribution Rate (ICR) values. By splitting the cell region into edge and center zones, it resolves the interference issue caused by the densely packed SCs. Moreover, SC on/off switching addresses the issue of excessive power consumption and improves the 5G network's power efficiency. Furthermore, this work tackles the irregular shape nature problem of 5G HetNets and compares two different proposed shapes for the centre zone of the SC, existing irregular and proposed circular shapes. Additionally, the optimum radius of the centre zone, which maximizes the total system data rate, is obtained. A comparative analysis of power consumption, data rate and power efficiency was performed between the NSFR model, the SFR model and the proposed model. The results show that for 1000 number of equipment, the proposed model has a low power consumption of 1.72KW compared to 3.51KW for SFR and 3.73KW for NSFR. Data rate of 12.19kbps compared to 11.42kbps for SFR and 11.09kbps for NSFR. Also, power efficiency of 610kbps/W compared to 572kbps/W for SFR and 560kbps/W for NSFR. These results imply that the interference mitigation handled by the proposed scheme improves by approximately 22%.
Item Type: | Article |
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Subjects: | Eprints STM archive > Engineering |
Depositing User: | Unnamed user with email admin@eprints.stmarchive |
Date Deposited: | 30 Jan 2024 05:55 |
Last Modified: | 30 Jan 2024 05:55 |
URI: | http://public.paper4promo.com/id/eprint/1795 |