Komunikasi Device-to-Device pada Jaringan Seluler 5G Menggunakan MmWave

This article discusses about device-to-device communication on 5G cellular networks using mmWave. Device-to-device communication will support 5G cellular technology, because it can be a solution to overcome the limitations of cellular coverage and service capacity. D2D can be used in a variety of applications. The main problem in D2D is that interference between signals in one cell will be very vulnerable to occur, so that effective resource management is needed. In addition, the use of D2D will also increase the complexity of a cellular system, in terms of resource management, interference, and also the routing required. Several studies have been carried out to create D2D communication that can be implemented effectively on 5G. One of them is research to perfect the load balancing scheme which is one of the functions obtained from D2D communication. Load balancing is the distribution of cellular traffic loads, using D2D the traffic load is channeled to communication between devices and reduces the burden on the main network

Analisis Pengaruh Pergerakan User Terhadap Kualitas Sinyal Suara Pada Jaringan Wimax Ieee 802.16

WiMAX IEEE 802.16e merupakan non-line of sight (NLOS) Broadband Wireless Access (BWA) yang dikeluarkan oleh WiMAX Forum yang dikembangkan berdasarkan standar IEEE 802.16. Teknologi ini mampu diimplementasikan untuk mobile wireless access yang dapat memenuhi kebutuhan layanan data dengan bandwidth yang cukup besar 20 MHz, coverage yang luas 50 km, dengan bitrate yang tinggi 75 Mbps. Pergerakan user/mobile station akan mempengaruhi kualitas layanan suara pada jaringan WiMAX IEEE 802.16e yaitu akan terjadinya efek doppler spread yang mengakibatkan Perubahan frekuensi terhadap mobile station yang bergerak. Penelitian mengenai pengaruh pergerakan user/mobile station terhadap kualitas sinyal suara pada jaringan WiMAX IEEE 802.16e ini dilakukan dengan cara membuat simulasi sistem transmisi WiMAX 802.16e yang dilewatkan pada kanal yang bersifat multipath fading karena bersifat komunikasi non-line of Sight (NLOS) dengan cara terdistribusi rayleigh dan noise AWGN dengan pemodelan kanal propagasi SUI (Stanford University Interim). Parameter kecepatan user/mobile station yang disimulasikan mulai 0 km/jam (user statis), <15km/jam (user berjalan kaki), 16-50 km/jam (user berkendaraan sedang), sampai dengan 51-120 km/jam (user kecepatan tinggi). Hasil simulasi dan analisa memperlihatkan bahwa kecepatan pergerakan user sangat berpengaruh terhadap fluktuasi fading pada kanal rayleigh. Berdasarkan standar komunikasi digital yaitu nilai BER sebesar 10, nilai Eb/No yang dihasilkan dibawah 12 dB untuk modulasi BPSK kecepatan user bisa mencapai 50 km/jam, sementara untuk QPSK kecepatan maksimal user dibawah 50 km/jam, dan 8PSK kecepatan user dibawah 30 km/jam. Sehingga modulasi yang paling baik untuk system ini adalah BPSK

Analisa Kinerja pada Perencanaan TD-LTE ADVANCED Studi Kasus Kota Bandung

In LTE Advanced technology there are two methods used in the duplexing process, there are frequency division duplex (FDD) wherein this duplexing concept communication is divided based on the frequency and the other is time division duplex (TDD) where communication is divided based on the time. Duplexing using the TDD method has advantages of handling data-based services that the majority have Non-Guarantee Bit Rate (N-GBR) characteristics because most of these services do not require a minimum bit rate to be able to work and this is an advantages because nowadays people like to use data-based services. So in this LTE Advanced network planning using the TDD method, frequency 2300 MHz for TD-LTE advanced, and parameters that to be the main focus are throughputs, reference signal received power (RSRP), reference signal strength indicator (RSSI), carrier to interference noise ratio (CINR), and block error rate (BLER). And the result of the simulations from TD-LTE Advanced planning are the mean of throughput value is 3,5 Mbps, mean of RSRP value is -110,8 dBm, mean of RSSI value is -72,36 dBm, mean of CINR value is 4,81 dB, and mean of BLER value is 0,07%

Penerapan Unmanned Aerial Vehicle (UAV) untuk Pengukuran Kuat Sinyal (Drive Test) pada Jaringan 4G LTE

The work to get data directly from the field for optimizing a network is called drive test. The implementation of drive test by directly down to the field has several obstacles, such as the condition of the terrain is insufficient and risky to be passed by car. Barriers such as traffic congestion, risky environmental conditions and narrow road areas between buildings makes the implementation of drive test by using unmanned aerial vehicle (UAV) or known by drone. In this research, drive test is carried out on 4G LTE Network and uses an Android smartphone that has the G-NetTrack application installed. The Data parameters of the drive Test and QoS are searched. there are Reference Signal Receive Power (RSRP), Reference Signal Receiving Quality (RSRQ), Signal to Noise Ratio (SNR), delay and throughput. This research compares two methods, which are drive test with normal condition and drive test by using a UAV. The result of the drive test with normal condition is obtained an average value of RSRP -90.32 dBm, RSRQ -9.58 dB and SNR 3.99 dB. Whereas in the drive test by using UAV is obtained an average value RSRP -90.8 dBm, RSRQ 9.32 dB and SNR 4.77 dB. The results of this research showed that all parameters in comparison of both methods has meet the standard of Key Performance Indicator (KPI) with small value difference because drive test by using UAV is equals with normal drive test that is to know the real condition of obstacle in field