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Clustering technique for dense D2D communication in RIS-aided multicell cellular network Susanto, Misfa; Sabella, Soraida; Hakim, Lukmanul; Kurnianto, Rudi; Abd Aziz, Azrina
Indonesian Journal of Electrical Engineering and Computer Science Vol 39, No 2: August 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v39.i2.pp927-940

Abstract

Device-to-device (D2D) communication and reconfigurable intelligent surface (RIS) are well-known as two promising technologies for nextgeneration cellular communication networks. D2D users operate on the same spectrum as traditional cellular users, potentially leading to increased interference and reduced efficiency in frequency resource usage. RIS provides a remedy for clearing blocked signals from obstructions by reflecting the desired signals to the intended receiver. However, RIS elements reflect not only the desired signals but also the interference signals. This paper proposes a distance-based clustering method aimed at creating a grouping algorithm for neighboring D2D users using different channels, thereby reducing co-channel interference. The simulation indicates that the proposed clustering method for D2D users' equipment (DUEs) leads to a 0.72 dB increase in signal-to-interference-plus-noise ratio (SINR), enhances throughput to 11.25 Mbps, and reduces the bit error rate by up to 24×10⁻² compared to the baseline system. The study findings also indicate that cellular users' equipment (CUEs) experience satisfactory signal quality, even with the presence of DUEs on the cellular network. Our clustering algorithm is feasible to deploying D2D densely in RIS-aided cellular network without significantly affecting CUE performance.
IMPROVED DYNAMIC BOTANICAL AIR PURIFIER WITH LIGHT EFFECT FOR REDUCING CO2 CONCENTRATION IN CHAMBER Dwi Sundari, Carolina; Fajri Hadi Syahputra, Muhammad; Millatina Rachmawati, Lulu; Jalasena, Andhika; Ananta Hasmul, Nabil; Chandra, Indra; Awaludin Salam, Rahmat; Octaviani, Yeni; Rizzi Ani, Zahwa; Fitria Suyatna, Sefani; Abd Aziz, Azrina; Arif Burhanudin, Zainal
INDONESIAN JOURNAL OF URBAN AND ENVIRONMENTAL TECHNOLOGY VOLUME 7, NUMBER 1, APRIL 2024
Publisher : Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/urbanenvirotech.v7i1.17442

Abstract

Aims: This study aimed to investigate the effectiveness of the DBAP in reducing CO2 levels and improving indoor air quality. It also explores the impact of adding blue light to enhance photosynthesis. Additionally, the study examines the ability of the DBAP's HEPA filter to reduce PM2.5 concentration. Methodology and results: The methodology used in this study involved testing the reduction of CO2 levels in plants using blue light as an enhancement. The researchers also developed a Dynamic Botanic Air Purifier (DBAP) that incorporated activated carbon and a fan as an active filter to improve CO2 reduction. The study measured the reduction level of CO2 in the plants with blue light enhancement, resulting in a 40% reduction. Subsequently, after adding the active filter to the plants, the CO2 reduction improved by an additional 11% compared to without the active filter. Additionally, the study found that the HEPA filter within the active filter effectively reduced the concentration of PM2.5 to 71.6%. Conclusion, significance and impact study: In conclusion, this study highlights the significance of addressing poor indoor air quality and its potential impact on occupant health and well-being. Developing the Dynamic Botanic Air Purifier (DBAP), incorporating plants, activated carbon, a fan, and blue light enhancement, offers a promising solution for improving indoor air quality and preventing Sick Building Syndrome (SBS). The findings of this study have the potential to inform the development of effective strategies and technologies aimed at creating healthier indoor environments, thus positively impacting public health and overall indoor air quality.