scholarly journals Analisa Kinerja Pada Perencanaan TD-LTE ADVANCED Studi Kasus Kota Bandung

AVITEC ◽  
2020 ◽  
Vol 2 (2) ◽  
Author(s):  
Purusadi Hastruman ◽  
Arfianto Fahmi ◽  
Uke Kurniawan Usman
Keyword(s):  
Reference Signal ◽  
Signal Strength ◽  
Advanced Technology ◽  
Frequency Division ◽  
Bit Rate ◽  
Received Power ◽  
Lte Advanced ◽  
Advanced Planning ◽  
The Mean ◽  
Time Division

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%.

scholarly journals Increasing LTE-Advanced Network Capacity Using The Inter-band Carrier Aggregation (Downlink Side) Method

2020 ◽  
Vol 12 (2) ◽  
pp. 52-59
Author(s):  
Fadli Kusuma ◽  
Hasanah Putri
Keyword(s):  
Network Performance ◽  
Reference Signal ◽  
Network Capacity ◽  
Carrier Aggregation ◽  
Average Reference ◽  
Traffic Capacity ◽  
Lte Advanced ◽  
Optimal Network ◽  
Physical Resource Block ◽  
Time Division

According to the identification of the Operating Support System (OSS) by the Smartfren cellular operator in the Central Bandung area, six sites are found to have high traffic capacity with the physical resource block (PRb) percentage of 82.6 %. The use of PRb > 80 % is included in the warning indicator 2 based on the operator’s standards. It is also strengthened by the condition of the existing sites with the average Reference Signal Receive Power (RSRP) of -103.3 dBm, Signal to Interference Noise Ratio (SINR) of 6.28 dB, and throughput of 27.78 Mbps, thus resulting in non-optimal network performance in the area. Therefore, in this study, the inter-band Carrier Aggregation (CA) was applied by combining the 40 Time Division Duplex (TDD) band (2300 MHz) and band 5 Frequency Division Duplex (FDD) (850 MHz). One of the advantages of applying this method is that it can increase the user network capacity by maximizing the resources owned by the operator.  The predetermined scenario taking into account the initial network condition indicated a decrease in the PRb percentage by 44.50 % and an increase in the average RSRP value by 12.8 dBm, SINR by 5.14 dB, and throughput by 34.59 Mbps.

Study of Power Control in CDMA System on the basis of optimization Technique

2017 ◽  
Vol 7 (8) ◽  
pp. 126
Author(s):  
. Geetanjli
Keyword(s):  
Power Control ◽  
Multiple Access ◽  
Optimization Technique ◽  
System Optimization ◽  
Base Station ◽  
Particle Swarm Algorithm ◽  
Cdma System ◽  
Frequency Division ◽  
Cdma Systems ◽  
Time Division

The power control in CDMA systems, grant numerous users to share resources of the system uniformly between each other, leading to expand capacity. With convenient power control, capacity of CDMA system is immense in contrast of frequency division multiple access (FDMA) and time division multiple access (TDMA). If power control is not achieved numerous problems such as the near-far effect will start to monopolize and consequently will reduce the capacity of the CDMA system. However, when the power control in CDMA systems is implemented, it allows numerous users to share resources of the system uniformly between themselves, leading to increased capacity For power control in CDMA system optimization algorithms i.e. genetic algorithm & particle swarm algorithm can be used which regulate a convenient power vector. These power vector or power levels are dogged at the base station and announce to mobile units to alter their transmitting power in accordance to these levels. The performances of the algorithms are inspected through both analysis and computer simulations, and compared with well-known algorithms from the literature.

4G LTE Experience: Reference Signal Received Power, Noise Ratio and Quality

2021 ◽  
Author(s):  
Gubtha Mahendra Putra ◽  
Edy Budiman ◽  
Yonatan Malewa ◽  
Dedy Cahyadi ◽  
Medi Taruk ◽  
...  
Keyword(s):  
Reference Signal ◽  
Received Power ◽  
Power Noise ◽  
Noise Ratio ◽  
4G Lte

scholarly journals Assessing 3GPP LTE-advanced as IMT-advanced technology: the WINNER+ evaluation group approach

2011 ◽  
Vol 49 (2) ◽  
pp. 92-100 ◽  
Author(s):  
Krystian Safjan ◽  
Valeria D'Amico ◽  
Daniel Bultmann ◽  
David Martin-Sacristan ◽  
Ahmed Saadani ◽  
...  
Keyword(s):  
Advanced Technology ◽  
Group Approach ◽  
3Gpp Lte ◽  
Lte Advanced ◽  
Evaluation Group

scholarly journals Trilateration Method For Estimating Location in RSSI-Based Indoor Positioning System Using Zigbee Protocol

2020 ◽  
Vol 12 (1) ◽  
Author(s):  
Herryawan Pujiharsono ◽  
Duwi Utami ◽  
Rafina Destiarti Ainul
Keyword(s):  
Path Loss ◽  
Signal Strength ◽  
Indoor Positioning ◽  
Positioning System ◽  
Observation Area ◽  
Current Location ◽  
Zigbee Protocol ◽  
The Mean ◽  
Unknown Node ◽  
Indoor Positioning System

Wireless network technology that is used today is developing rapidly because of the increasing need for location information of an object with high accuracy. Global Positioning System (GPS) is a technology to estimate the current location. Unfortunately, GPS has a disadvantage of low accuracy of 10 meters when used indoors. Therefore, it began to be developed with the concept of an indoor positioning system. This is a technology used to estimate the location of objects in a building by utilizing WSN (Wireless Sensor Network). The purpose of this study is to estimate the location of the unknown nodes in the lecturer room as an object and obtain the accuracy of the system being tested. The positioning process is based on the received signal strength (RSSI) on the unknown node using the ZigBee module. The trilateration method is used to estimate unknown node located at the observation area based on the signal strength received at the time of testing. The result shows that the path loss coefficient value at the observation area is 0.9836 and the Mean Square Error of the test is 1.251 meters, which indicates that the system can be a solution to the indoor GPS problem.

scholarly journals Eficiencia de sistemas multiantena MU–MIMO por simulaciones de radiopropagación

2017 ◽  
Vol 11 (1) ◽  
pp. 55-62
Author(s):  
Javier Enrique Arévalo Peña
Keyword(s):  
Reference Signal ◽  
Long Term Evolution ◽  
Signal To Noise ◽  
3Gpp Lte ◽  
Term Evolution ◽  
Received Power ◽  
La Red

El presente artículo tiene como propósito realizar la descripción de los resultados de simulación de radiopropagación con una antena MU{MIMO (4x4) en una red LTE (del inglés Long Term Evolution), con el fin de establecer su eciencia respecto a una antena estándar. En esta vía, se emplea la herramienta de diseño de redes inalámbricas ICS Designer en la cartografía digital de alta resolución en un escenario urbano de la ciudad de Bogotá D.C., Colombia. Se utiliza el modelo 3GPP LTE en la simulación de la red LTE y se analizan los parametros RSRP (del inglés, Reference Signal Received Power), RSRQ (del inglés, Reference Signal Recieved Quality), SNIR (del inglés, Signal to Noise and Interference Ratio) rendimiento (Throughput) y QCI (del inglés, QoS Class Identier). Se evidencian, como consecuencia de los resultados, ventajas de las antenas MU-MIMO.

scholarly journals Adaptive recursive algorithm for optimal weighted suprathreshold stochastic resonance

2017 ◽  
Vol 4 (9) ◽  
pp. 160889 ◽  
Author(s):  
Liyan Xu ◽  
Fabing Duan ◽  
Xiao Gao ◽  
Derek Abbott ◽  
Mark D. McDonnell
Keyword(s):  
Stochastic Resonance ◽  
Recursive Algorithm ◽  
Signal Strength ◽  
Distinct Form ◽  
Mean Square ◽  
Least Mean Square ◽  
Complete Knowledge ◽  
The Mean ◽  
Suprathreshold Stochastic Resonance ◽  
Over Time

Suprathreshold stochastic resonance (SSR) is a distinct form of stochastic resonance, which occurs in multilevel parallel threshold arrays with no requirements on signal strength. In the generic SSR model, an optimal weighted decoding scheme shows its superiority in minimizing the mean square error (MSE). In this study, we extend the proposed optimal weighted decoding scheme to more general input characteristics by combining a Kalman filter and a least mean square (LMS) recursive algorithm, wherein the weighted coefficients can be adaptively adjusted so as to minimize the MSE without complete knowledge of input statistics. We demonstrate that the optimal weighted decoding scheme based on the Kalman–LMS recursive algorithm is able to robustly decode the outputs from the system in which SSR is observed, even for complex situations where the signal and noise vary over time.

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