Enhanced Indoor Path Loss and RSRP of 5G mmWave Communication System with Multi-objective Genetic Algorithm

• Published in: Wireless personal communications 2024, Vol.138 (1), p.603-621
• Main Authors: Sudhamani, Chilakala, Roslee, Mardeni, Chuan, Lee Loo, Waseem, Athar, Osman, Anwar Faizd, Jusoh, Mohamad Huzaimy
• Format: Article
• Language: English
• Subjects: 3G mobile communication; 5G mobile communication; Communications Engineering; Communications systems; Computer Communication Networks; Engineering; Genetic algorithms; Indoor environments; Millimeter waves; Mobile communication systems; Multiple objective analysis; Networks; Obstructions; Optimization; Radio frequency; Shopping centers; Shopping malls; Signal strength; Signal,Image and Speech Processing
• ISSN: 0929-6212; 1572-834X
• DOI: 10.1007/s11277-024-11524-2

The signal strength in 5G mobile communication systems is significantly influenced by the surroundings, with key factors including the path difference, operating frequency, and obstructions at specific locations. Consequently, planning a communication system that can deliver improved signal strength becomes highly challenging. To address this issue, indoor path loss models are employed to estimate signal loss in different environments, frequencies, and distances. This paper introduces an intelligent multi-objective genetic algorithm aimed at enhancing path loss and received signal power. A comparative analysis is conducted to evaluate the performance of the proposed intelligent optimization algorithm against the traditional approach. The path loss and received power of various scenarios are estimated using various path loss models. The 5GCM indoor officce, 5GCM InH shopping mall, 3GPP TR 38.91 InH office, mmMAGIC InH office, METIS InH shopping mall, and IEEE 802.11 ad InH office indoor path loss models estimates the path loss of 62.37  dB , 62.15  dB , 63.12  dB , 50  dB , 55.18  dB ,  and 52.89  dB in traditional approach and 36.87  dB , 35.86  dB , 36.84  dB , 68.80  dB , 36.23  dB and 33.94  dB using GA approach and received powers of - 12.17 d B m , - 11.37 d B m , - 12.17 d B m , - 5.80 d B m , - 12.24 d B m and - 8.68 d B m in traditional approach and 26.13  dBm , 27.14  dBm , 26.15  dBm , - 5.80 d B m , 26.75  dBm and 29.05  dBm using GA approach repectively. The 5GCM and 3GPP models produces the path loss difference above 25  dB and mmMAGIC, METIS and IEEE models produces a path loss below 19  dB . Except mmMAGIC model, all models produces the recceiver power difference above 37  dBm . Therefore, the highest path loss difference of 26  dB is observed in 5GCM InH shopping mall model and the highest reccieved power difference of 39.01  dBm is observed in METIS InH shopping mall model. The results clearly demonstrate that the proposed intelligent optimization approach outperforms the traditional approach across various indoor scenarios.