Penerapan Metode ACP untuk Optimasi Physical Tuning Antena Sektoral pada Jaringan 4G LTE di Kota Purwokerto

ABSTRAK Kualitas jaringan 4G (LTE) yang masih tidak stabil sehingga menyebabkan bad coverage. Untuk meningkatkan kualitas jarigan 4G (LTE) dapat dilakukan dengan optimasi physical tuning antena sektoral. Physical tuning antena sektoral meliputi perubahan tinggi antena, azimuth dan tilting antena. Pada penelitian ini dilakukan optimasi physical tuning antena sektoral menggunakan metode Automatic Cell Planning (ACP) untuk memenuhi kebutuhan coverage di daerah Purwokerto Barat dan Purwokerto Utara. Perolehan persentase coverage site existing belum memenuhi standar KPI Operator untuk RSRP sebesar 78,491% ≥ (100) dBm dan CINR sebesar 65,698% ≥ (0) dB. Hasil optimasi physical tuninng antena sektoral menggunakan metode ACP sudah memenuhi standar KPI Operator untuk RSRP sebesar 90,037% ≥ (100) dBm dan CINR sebesar 94,868% ≥ (0) dB. Kata kunci: LTE, optimasi, physical tuning, Automatic Cell Planning, Atoll ABSTRACT The quality of the 4G (LTE) network is still unstable, causing bad coverage. To improve the quality of 4G network (LTE) can be done by sectoral antenna tuning optimization. Physical tuning of sectoral antennas includes changes in antenna height, azimuth and tilting antenna. In this study a sectoral antenna tuning physical optimization was carried out using the Automatic Cell Planning (ACP) method to meet coverage needs in West Purwokerto and North Purwokerto areas. The percentage of existing coverage sites has not met the KPI Operator standard for RSRP of 78.491% 100 (100) dBm and CINR of 65.669% ≥ (0) dB. The results of sectoral antenna tuning optimization using the ACP method have met the KPI Operator standard for RSRP of 90.037% ≥ (100) dBm and CINR of 94.868% ≥ (0) dB. Keywords: LTE, optimization, physical tuning, Automatic Cell Planning, Atoll

Site-Specific Propagation Loss Prediction in 4.9 GHz Band Outdoor-to-Indoor Scenario

Owing to the widespread use of smartphones and various cloud services, user traffic in cellular networks is rapidly increasing. Especially, the traffic congestion is severe in urban areas, and effective service-cell planning is required in the area for efficient radio resource usage. Because many users are also inside high buildings in the urban area, the knowledge of propagation loss characteristics in the outdoor-to-indoor (O2I) scenario is indispensable for the purpose. The ray-tracing simulation has been widely used for service-cell planning, but it has a problem that the propagation loss tends to be underestimated in a typical O2I scenario in which the incident radio waves penetrate indoors through building windows. In this paper, we proposed the extension method of the ray-tracing simulation to solve the problem. In the proposed method, the additional loss factors such as the Fresnel zone shielding loss and the transmission loss by the equivalent dielectric plate were calculated for respective rays to eliminate the penetration loss prediction error. To evaluate the effectiveness of the proposed method, we conducted radio propagation measurements in a high-building environment by using the developed unmanned aerial vehicle (UAV)-based measurement system. The results showed that the penetration loss of direct and reflection rays was significantly underestimated in the ray-tracing simulation and the proposed method could correct the problem. The mean prediction error was improved from 7.0 dB to −0.5 dB, and the standard deviation was also improved from 8.2 dB to 5.3 dB. The results are expected to be utilized for actual service-cell planning in the urban environment.