Optimalisasi Handover Jaringan 4G Telkomsel di Kota Palembang

Handovers on 4G networks such as Hard Handover when downlink and uplink must run well, if not then ongoing downlinks and uplinks will be hampered and even fail. This is closely related to potential customer satisfaction, thus the possibility of a handover failure resulting in dissatisfaction with operator users. Along with the high customer interest in 4G-LTE technology, this makes Telkomsel cellular operators maintain Quality & Performance where there is a decline in the quality of RSRP & SINR. One effort is to measure data in the field. The method in measuring data in the field is a Test Drive. Test Drive is a measurement method in a mobile communication system that aims to collect data on the measurement of signal quality of a network from the real direction in the field, so that it can know how the performance of the network.

Pengaruh Kinerja QoS Untuk Layanan VoIP Berdasarkan Jarak Dari Base Station Pada Jaringan WiMAX

Metode Handover digunakan untuk mempertahankan koneksi tetap terjaga. Hal tersebut berkaitan dengan performansi dikarenakan proses pengalihan kanal trafik secara otomatis pada mobile station untuk berkomunikasi tanpa terjadinya pemutusan hubungan. Faktor utama keberhasilan dalam melakukan handover terletak pada quality of service yang menyediakan tingkat jaminan layanan berbeda-beda dalam mengatur dan memberikan prioritas trafik pada jaringan seperti aplikasi voice over IP (VoIP) atau komunikasi voice memanfaatkan jaringan internet dalam permasalahan berdasarkan jarak base station.. Berdasarkan pengujian yang dilakukan untuk metode hard handover dan metode soft handover berdasarkan jarak base station menggunakan aplikasi voice over internet protocol pada mobile station. Diperoleh hasil dengan nilai jitter 0.015 ms – 0.21 ms, dan hasil delay 35.5 ms – 45.8 ms hal tersebut membuktikan bahwa pengaruh jitter dan delay terhadap handover dengan aplikasi VoIP masih dalam tahapan toleransi yang diizinka. Dan berdasarkan hasil penelitian ini jarak antara satu base station dengan station lainnya sangat berpengaruh untuk mendapatkan kulaitas layanan yang lebih baik. Kata Kunci : Handover, Jitter, Delay, VoIP, Quality of Service

The Effect of Neighboring Cells on Handover Decision Making Based on Fuzzy in the WCDMA Network

In channel transfer (handover) from one Base Station to another Base Station. The purpose of this final project is to analyze the effect of neighboring cells on handover decisions on WCDMA networks based on fuzzy, in this handover process, handover decisions use several parameters related to handovers and supported by fuzzy logic. Relatively high user mobility demands a guarantee until the use of the service ends, the impact of user mobility results in the output being analyzed for this handover decision to help give consideration to the optimal handover decision. The method used is Tsukamoto fuzzy logic, for decision making, while the measurement method In the field, the drive test method is carried out by measuring the signal level around the base station area, and comparing the results of the two methods. Comparison of handover decisions between the results of fuzzy logic and measurements, for example for the results of no proper in fuzzy logic, yields a rate value of 0% for soft handovers and 100% for hard handovers, and for proper results in fuzzy logic, yields a rate value for measurement. 95.22% for soft / soft handover and 4.72% for hard handover

Analisa Metode Handover Pada Jaringan WiMAX

Handover method is used to keep the stabilization of connection. Its connected with the performance was caused the process canal traffic transfer automatically in mobile station (MS) that was used to communicate without cutting off the connection. The main factor of success in handover was quality of service to provide the difference level of service in arranging and giving the traffic priority in the network like voice over IP (VoIP) application or communication voice using internet network. This research will analyse the achievement quality of service in the WiMax network standard 802.16e used hard handover and softhandover method with the VoIP application in mobile station. Based on the testing that was carried out hard handover and soft handover method used the application of voice over internet protocol in mobile station has obtained value jitter 0.001 Ms – 0.31 ms, and delay 10.5 ms 39 ms this is proved that the influence of jitter and delay against handover with the VoIP application still in the tolerance stage that was permitted. It is different with the output throughput 85 Bit/Sekon - 550 Bit/Sekon that is too low and indicated that throughput is not sentitif against handover with the voice over internet protocol application.

Pemodelan dan Verifikasi Formal Pengaruh Mobility pattern Terhadap Handoff Latency pada Jaringan WiMAX

In order to decrease handoff latency and increase the successful of HHO conventional scheme, a development of handover scheme is done in standard protocol WiMAX IEEE 802.16e by adding mobility pattern. The superiority of handover scheme with mobility pattern can reduce handoff latency up to 50%, mean while the weakness of this scheme is a wrong act in determining target base station are often happen. Simulation can not showing the cause of that error. So, we do formal verification in to hard handover model with mobility pattern. In this research, behaviour system is modeled with continuous-time Markov chain (CTMC). The model is foccused to aproximating the influence of mobility pattern in to handoff latency from WiMAX hard handover mechanism. In order to set up a series markov chain models handover system can follow steps, such as: represents the state space, give a number in all transitions, generate the rate transition matrix (infinitesimal generator). Probabilistic model checking in the research are using quantitative properties and qualitative properties. Formal verification concerning properties has relation with handover in WiMAX network showing that 70% from mobile station which doing scanning with mobility pattern are success doing handover. 24% of them doing scanning conventional as a result of wrongness in act determining target base station, so handoff latency which is pictured will bigger than a system that is only use conventional scanning method.