scholarly journals Design and Analysis of Bi-planar Antenna for Long Term Evolution Base Stations

2018 ◽  
Vol 7 (02) ◽  
pp. 08-14
Author(s):  
Prof. Muhamad Angriawan
Keyword(s):  
Information Transmission ◽  
Microstrip Line ◽  
Long Term Evolution ◽  
Base Station ◽  
Base Stations ◽  
Planar Antenna ◽  
Term Evolution ◽  
Lower Band ◽  
Receiving Antenna

In this article, A bi-planar receiving antenna is planned for LTE convenient base stations. The proposed reception apparatus involves two parts one for the upper band and another for lower band. It can in like manner be shown without granulating folds. The lower band has the pair of printed dipoles with two or three parasitic parts for transmission limit improvement. The upper band contains a few crumbled dipoles. The microstrip line and dipole are cut on a comparative substrate. The upper band segments are wrapped in lower band segments encircling a diminished structure. The bi-planar receiving wire achieves an information transmission of around 2 GHz. The arranged receiving wire can be completed in versatile base stations. The radio wire increase achieved around ~12 dbi which is sensible for the adaptable correspondence base station structures.

scholarly journals Analisis Tekno Ekonomi Biaya Capex dan Opex Implementasi Jaringan Long Term Evolution Area Banten

2017 ◽  
Vol 8 (1) ◽  
pp. 1
Author(s):  
Totok Yuwanto
Keyword(s):  
Capacity Planning ◽  
Long Term Evolution ◽  
Base Station ◽  
Term Evolution ◽  
Coverage Estimation

Dengan semakin pesatnya pertumbuhan dan kebutuhan penggunaan data maka diperlukan suatu jaringan telekomunikasi yang mampu memenuhi kebutuhan tersebut yaitu dalam hal kapasitas, kualitas, mobilitas dan kecepatan. Untuk memenuhi kebutuhan  tersebut maka perusahaan operator telekomunikasi  dituntut untuk menggelar  jaringan telekomunikasi  yang mempunyai kapasitas besar, kecepatan tinggi, handal dan mempunyai kualitas yang bisa memenuhi kebutuhan tsb .  Salah satu tehnologi seluler terbaru yang bisa memenuhi kebutuhan tsb adalah tehnologi LTE. Pada penelitian ini dianalisa secara teknologi dan ekonomi terhadap implementasi LTE release 8 pada jaringan operator existing dengan menggunakan skenario join base station. Model analisa yang digunakan berdasarkan prinsip tekno ekonomi dengan menggunakan metoda capacity planning and coverage estimation untuk menentukan perancangan teknologi LTE serta  metoda DCF untuk menganalisa secara ekonomi dan juga mengukur kelayakan biaya yang dikeluarkan untuk implementasi LTE tersebut. Hasil penelitian diperoleh nilai NPV positif  dan IRR sebesar 12.95% , dengan nilai Pay Back Period 3 Tahun 1 Bulan. Berdasarkan hasil tsb dapat disimpulkan bahwa implementasi jaringan berbasis Long Term Evolution  (LTE)  di propinsi Banten layak untuk di implementasikan. 

Research and Implementation of Uplink Synchronization in TD-LTE

2013 ◽  
Vol 756-759 ◽  
pp. 846-850
Author(s):  
De Ming Zhang ◽  
Sheng Yao ◽  
Xiao Wen Li
Keyword(s):  
Detailed Analysis ◽  
Long Term Evolution ◽  
Base Station ◽  
Evolution System ◽  
Good Communication ◽  
Time Alignment ◽  
Term Evolution ◽  
Test Instrumentation

To make sure a good communication between the terminal and the base station, synchronization is needed between them. The Uplink Time Alignment has been provided in the long term evolution system (TD-LTE), by which uplink synchronization can be maintained in terminals. In this letter, the concrete implementation of the Uplink Time Alignment in MAC sub-layer of terminals and independently adjustment of uplink timing were designed with research of the Uplink Time Alignment and detailed analysis of the specific applications of Timing Advance Command in the terminal. The proposed implementation can be applied for the development of test instrumentation and TD-LTE ratio frequency conformance.

scholarly journals Analisa Perencanaan Backhaul Untuk Jaringan Long Term Evolution (LTE) Dikota Yogyakarta

2018 ◽  
Vol 19 (2) ◽  
pp. 103
Author(s):  
Muhammad Azhar ◽  
Zein Hanni Pradana ◽  
Ade Wahyudin
Keyword(s):  
Long Term Evolution ◽  
Base Station ◽  
Core Network ◽  
Receive Power ◽  
Term Evolution

Pelayanan telekomunikasi sangat berperan penting dalam kehidupan modern. Perkembangan Teknologi LTE dikota sangat besar. Selaku Operator Memerlukan adanya backhaul yang handal namun juga efisien dari transmisi maupun dari segi kapasitas. Backhaul  adalah  suatu jalur  yang menghubungkan dari suatu Base Station ke Base  Station lain atau dari suatu Base Station ke core network untuk mengambil trafik dari Base Station tersebut.Pada Penelitian ini Membahas tentang analisa perencanaan backhaul untuk jaringan Long term Evolution di kota Yogyakarta. Dengan menggunakan Microwave sebagai teknologi Backhaul. Penelitian ini membahas Mengenai Perencanaan jaringan Long Term Evolution dengan Frekuensi 1800 MHz agar dapat Mengakomodasi Trafik di kota Yogyakarta dengan Menggunakan Perencanaan Capacity Maupun Coverage.  Pada hasil perencanaan Jaringan Long Term Evolution menggunakan Frekuensi 1800 MHz  Nilai Rereference Signal Receive Power (RSRP)  didapat dari hasil simulasi  dari Parameter Long Term Evolutin adalah adalah  rata-rata sebesar -75.66 dBm Sedangkan Pada Perencanaan Backhaul Menggunakan Teknologi Microwave diperoleh rata-rata daya terima >-78 dBm dan nilai Availability >99,999% untuk link dibawah  jarak <1,7km. Sehingga dapat diambil Kesimpulan Bahwa Backhaul Dengan Teknologi Microwave Pada penelitian ini bekerja dengan baik dan Optimal. dapat menghubungkan Jaringan LTE di Kota Yogyakarta dengan Jarak <1,7 km. Perencanaan ini dilakukan menggunakan atoll 3.3.

scholarly journals Artificial Intelligence Based LTE MIMO Antenna for 5th Generation Mobile Networks

2020 ◽  
Vol 2 (3) ◽  
pp. 155-162
Author(s):  
Dr. Abul Bashar
Keyword(s):  
Artificial Intelligence ◽  
Mobile Networks ◽  
Multiple Input Multiple Output ◽  
Long Term Evolution ◽  
Base Station ◽  
Fifth Generation ◽  
Term Evolution ◽  
Multiple Input ◽  
Input Multiple Output

Artificial intelligence based long term evolution multi in multi output antenna supporting the fifth generation mobile networks is put forth in the paper. The mechanism laid out in paper is devised using the monopole-antenna integrated with the switchable pattern. The long term evolution based multiple input and multiple output antenna is equipped with four antennas and capable of providing a four concurrent data streams quadrupling the theoretical maximum speed of data transfer allowing the base station to convey four diverse signals through four diverse transmit antennas for a single user equipment. The utilization of the long term evolution multiple input multiple output is capable of utilizing the multi-trial broadcasting to offer betterments in the signal performance as well as throughput and spectral efficiency when used along the fifth generation mobile networks. So the paper proposes the artificial intelligence based long term evolution multiple input multiple output four transmit antenna with four diverse signal transmission capacity that is operating in the frequency of 3.501 Gigahertz frequency. The laid out design is evaluated using the Multi-input Multi output signal analyzer to acquire the capacity of the passive conveyance of the various antennas with the diverse combination of patterns. The outcomes observed enables the artificial intelligence antenna to identify the choicest antenna to be integrated in the diverse environments for improving the throughput, signal performance and the data conveyance speed.

scholarly journals ARSITEKTUR JARINGAN LTE (LONG TERM EVOLUTION) UNTUK MENGATASI BACKHAUL CONNECTION WIFI PADA RURAL AREA DENGAN TEKNOLOGI FOURTH GENERATION (4G)

2019 ◽  
Vol 10 (2) ◽  
pp. 24
Author(s):  
Komang Ayu Triana Indah ◽  
Ida Bagus Putra Manuaba
Keyword(s):  
Rural Area ◽  
Long Term Evolution ◽  
Base Station ◽  
Fourth Generation ◽  
Delay Spread ◽  
Term Evolution

Teknologi WiFi yang digunakan pada rural area pada umumnya untuk jaringan fisik untuk koneksi satu base-station ke base-station yang lain (backhaul) atau ke switching centre seringkali terdapat banyak permasalahan. Wi-Fi dioptimasi untuk penggunaan dengan jangkauan yang pendek, penggunaan untuk luar  ruangan dan jangkauan yang panjang akan menyebabkan multipath dan delay spread tidak tertangani secara optimal Meskipun penggunaan teknologi WiFi cukup praktis, akan tetapi penggunaan WiFi untuk koneksi backhaul akan menimbulkan permasalahan karena teknologi WiFi dirancang dan dioptimasi untuk penggunaan dengan cakupan LAN, sedangkan kondisi geografis di pedesaan tidak memungkinkan instalasi tersebut.  Teknologi LTE menjawab permasalahan yang timbul dalam instalasi WiFi diantaranya kecepatan puncak data, mobilitas pengguna, daya,  konsumsi, handover, fasilitas roaming dan coverage.. Long Term Evolution (LTE) adalah generasi teknologi telekomunikasi selular. Menurut standar, LTE memberikan kecepatan uplink hingga 50 megabit per detik (Mbps) dan kecepatan downlink hingga 100 Mbps. LTE memiliki standar terbaru teknologi jaringan mobile yang diproduksi dengan teknologi jaringan GSM/EDGE dan UMTS/HSDPA. Implementasi  LTE untuk mengatasi permasalahan koneksi backhaul di pedesaan dengan teknologi Rural 4G secara teknis dilakukan untuk mengatasi permasalahan koneksi backhaul pada jaringan WiFi.

scholarly journals Perencanaan Sistem Long Term Evolution di Wilayah Kota Denpasar Memanfaatkan Bale Banjar untuk Menempatkan Base Station

2018 ◽  
Vol 5 (2) ◽  
pp. 81
Author(s):  
Yoel Sthefianus ◽  
Pande Ketut Sudiarta ◽  
Gede Sukadarmika
Keyword(s):  
Long Term Evolution ◽  
Base Station ◽  
Term Evolution

Perencanaan sistem jaringan LTE dipengaruhi oleh beberapa faktor, salah satunya adalah faktor kontur wilayah yang berbeda. Kontur permukaan wilayah berpengaruh terhadap cakupan area yang dihasilkan suatu base station. Perencanaan jaringan berdasarkan analisis perhitungan, tidak mempertimbangkan kontur wilayah, maka untuk menunjang hal tersebut diperlukan simulasi menggunakan software Atoll. Metode pada penelitian ini menggunakan perhitungan dan simulasi software Atoll. Penempatan base station memanfaatkan 385 Bale Banjar sebagai titik site menara rooftop. Penempatan ini dilakukan di Bale Banjar dikarenakan mudahnya akses perijinan tempat, seperti base station pada Bale Banjar Balun. Berdasarkan hasil perhitungan dan pemodelan simulasi jarak jangkauan antena base station dengan model propagasi Cost-231 Hatta frekuensi 1800 MHz, diperoleh jarak sebesar 1,186 km. Simulasi perencanaan sistem LTE di wilayah kota Denpasar memerlukan 55 site, terdiri dari 54 site yang memanfaatkan Bale Banjar untuk menempatkan base station dan 1 site di luar kawasan Bale Banjar, serta diperlukan pengaturan electrical tilt sebanyak 40 site untuk mengatasi permasalahan cakupan area.

scholarly journals Modelling and Development of a Radio Resource Control and Scheduling Algorithm for Long-Term Evolution (LTE) Uplink

2021 ◽  
Vol 8 (2) ◽  
pp. 23-34
Author(s):  
Olawale Oluwasegun Ogunrinola ◽  
Isaiah Opeyemi Olaniyi ◽  
Segun A. Afolabi ◽  
Gbemiga Abraham Olaniyi ◽  
Olushola Emmanuel Ajeigbe
Keyword(s):  
Optimization Problems ◽  
Long Term Evolution ◽  
Base Station ◽  
Proportional Fairness ◽  
Radio Resource ◽  
Radio System ◽  
Maximum Expansion ◽  
Term Evolution ◽  
Lte Uplink

Modern radio communication services transmit signals from an earth station to a high-altitude station, space station or a space radio system via a feeder link while in Global Systems for Mobile Communication (GSM) and computer networks, the radio uplink transmit from cell phones to base station linking the network core to the communication interphase via an upstream facility. Hitherto, the Single-Carrier Frequency Division Multiple Access (SC-FDMA) has been adopted for uplink access in the Long-Term Evolution (LTE) scheme by the 3GPP. In this journal, the LTE uplink radio resource allocation is addressed as an optimization problem, where the desired solution is the mapping of the schedulable UE to schedulable Resource Blocks (RBs) that maximizes the proportional fairness metric. The particle swarm optimization (PSO) has been employed for this research. PSO is an algorithm that is very easy to implement to solve real time optimization problems and has fewer parameters to adjust when compared to other evolutionary algorithms. The proposed scheme was found to outperform the First Maximum Expansion (FME) and Recursive Maximum Expansion (RME) in terms of simulation time and fairness while maintaining the throughput.

scholarly journals Co-Channel Interference Suppression for LTE Passive Radar Based on Spatial Feature Cognition

Sensors ◽  
2021 ◽  
Vol 22 (1) ◽  
pp. 117
Author(s):  
Haitao Wang ◽  
Xiaoyong Lyu ◽  
Kefei Liao
Keyword(s):  
Interference Suppression ◽  
Reference Signal ◽  
Spatial Spectrum ◽  
Base Station ◽  
Base Stations ◽  
Passive Radar ◽  
Term Evolution ◽  
Reference Signals ◽  
Simulation Results

Passive radars based on long-term evolution (LTE) signals suffer from sever interferences. The interferences are not only from the base station used as the illuminator of opportunity (BS-IoO), but also from the other co-channel base stations (CCBS) working at the same frequency with the BS-IoO. Because the reference signals of the co-channel interferences are difficult to obtain, cancellation performance degrades seriously when traditional interference suppression methods are applied in LTE-based passive radar. This paper proposes a cascaded cancellation method based on the spatial spectrum cognition of interference. It consists of several cancellation loops. In each loop, the spatial spectrum of strong interferences is first recognized by using the cyclostationary characteristic of LTE signal and the compressed sensing technique. A clean reference signal of each interference is then reconstructed according to the spatial spectrum previously obtained. With the reference signal, the interferences are cancelled. At the end of each loop, the energy of the interference residual is estimated. If the interference residual is still strong, then the cancellation loop continues; otherwise it terminates. The proposed method can get good cancellation performance with a small-sized antenna array. Theoretical and simulation results demonstrate the effectiveness of the proposed method.

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