Homology-based metaheuristics for cell planning with macroscopic diversity using sector antennas

Author(s):  
Yasuhiro Ikeda ◽  
Ryoichi Kawahara ◽  
Hiroshi Saito
Author(s):  
AFATAH PURNAMA ◽  
EKA SETIA NUGRAHA ◽  
MUNTAQO ALFIN AMANAF

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


Author(s):  
Smita Parija ◽  
Sudhansu Sekhar Singh ◽  
Swati Swayamsiddha

Location management is a very critical and intricate problem in wireless mobile communication which involves tracking the movement of the mobile users in the cellular network. Particle Swarm Optimization (PSO) is proposed for the optimal design of the cellular network using reporting cell planning (RCP) strategy. In this state-of-the-art approach, the proposed algorithm reduces the involved total cost such as location update and paging cost for the location management issue. The same technique is proved to be a competitive approach to different existing test network problems showing the efficacy of the proposed method through simulation results. The result obtained is also validated for real network data obtained from BSNL, Odisha. Particle Swarm Optimization is used to find the optimal set of reporting cells in a given cellular network by minimizing the location management cost. This RCP technique applied to this cost minimization problem has given improved result as compared to the results obtained in the previous literature.


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