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Interference management based on clustering in RIS-aided ultra dense network under multicell scenario Susanto, Misfa; Gumilang, Alisha Gita; Fitriawan, Helmy; Aziz, Azrina Abd
Bulletin of Electrical Engineering and Informatics Vol 14, No 4: August 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v14i4.9495

Abstract

Ultra dense network (UDN) and reconfigurable intelligent surface (RIS) are two latest technologies in encountering the increasing demands for network capacity and quality of service in wireless cellular networks. UDN is created by densely deploying femtocells in macrocells area. It causes complex interferences because distances among femtocells are likely very close. RIS provides solution in regulating the reflection of the signal emitted from the transmitter to the receiver to resolve the obstacles. However, RIS reflects the interference signals as well causing more complex interference problems. This paper proposes a solution using clustering method as interference management in RIS-aided UDN network. By clustering method, nearby femtocells are grouped and allocated different frequency channels among femtocells in a cluster. The performance of two systems–the baseline system and the one employing a clustering method–is evaluated based on signal to interference plus noise ratio (SINR), throughput, and bit error rate (BER). Simulation results indicate that SINR and throughput improved by 1.57% and 1.73%, respectively. Meanwhile, the BER for the baseline system is 5.78×10-8 and decreased when applying the proposed method system with a value of 2.26×10-8. The proposed clustering method is promising to confront the interference problems.
EFFECT OF RAINFALL ON THE CHEMICAL COMPOSITION OF RAINWATER IN MONITORING ACID DEPOSITION IN GREATER BANDUNG Rievaldo , Dandy; Chandra, Indra; Setyawati, Wiwiek; Indrawati, Asri; Aries Tanti, Dyah; Ramadhan, Ardiansyah; Rizqi Mubarok, Lutfhi; Rahmi Rasyid, Tazlila; Aziz, Azrina Abd; Burhanudin, Zainal Arid
INDONESIAN JOURNAL OF URBAN AND ENVIRONMENTAL TECHNOLOGY VOLUME 6, NUMBER 1, APRIL 2023
Publisher : Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/urbanenvirotech.v6i1.14051

Abstract

Aim: The study aimed to investigate the impact of rainwater on the acidity levelsto monitor acid deposition and identify sources of pollutant that affect the acidity concentrations of rainwater. Methodology and Results: One unit of rainwater sampler in each location was employed, andsamples were taken to the National Research and Innovation Agency laboratory (BRIN) for analysis of rainwater quality including acidity/pH degree, conductivity, and ion concentrations. The results show that high rainfall intensity (>300 mm/month) in April and December 2019 led to a decrease in electrical conductivity (<10 mS/cm) and ion compounds (>200 μmol/L) of rainwater, likely due to the dissolution/washing process of anions in the air during the rainy season and acid and alkaline neutralization in the dry season. The most identified chemical compounds were ammonium (NH4+), sulfate (SO42-), nitrate (NO3-), and salt (NaCl). Conclusion, significance, and impact study: Based on back-trajectory projections, the decline in rainwater quality was attributed to both local emissions (transportation, industry, agriculture, and waste burning) and long-range sources (earth crust, oceans, coastlines, marine activities, and anthropogenic and forest fires in the Australian territory).