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.

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%.

Performance Evaluation of LTE-Advanced Heterogeneous Network Deployment Using Carrier Aggregation between Macro and Small Cells

2013 ◽  
Vol E96.B (6) ◽  
pp. 1297-1305
Author(s):  
Takahiro TAKIGUCHI ◽  
Kohei KIYOSHIMA ◽  
Yuta SAGAE ◽  
Kengo YAGYU ◽  
Hiroyuki ATARASHI ◽  
...  
Keyword(s):  
Performance Evaluation ◽  
Heterogeneous Network ◽  
Small Cells ◽  
Carrier Aggregation ◽  
Lte Advanced

Experiments on Asymmetric Carrier Aggregation Associated with Control Signaling Reception Quality in LTE-Advanced

2013 ◽  
Vol E96.A (11) ◽  
pp. 2106-2113
Author(s):  
Keisuke SAITO ◽  
Yuichi KAKISHIMA ◽  
Teruo KAWAMURA ◽  
Yoshihisa KISHIYAMA ◽  
Hidekazu TAOKA ◽  
...  
Keyword(s):  
Carrier Aggregation ◽  
Lte Advanced

Overview of 3GPP LTE-advanced carrier aggregation for 4G wireless communications

2012 ◽  
Vol 50 (2) ◽  
pp. 122-130 ◽  
Author(s):  
Zukang Shen ◽  
Aris Papasakellariou ◽  
Juan Montojo ◽  
Dirk Gerstenberger ◽  
Fangli Xu
Keyword(s):  
Wireless Communications ◽  
Carrier Aggregation ◽  
3Gpp Lte ◽  
Lte Advanced ◽  
4G Wireless

scholarly journals Cognitive Interference Alignment Schemes for IoT Oriented Heterogeneous Two-Tier Networks

Sensors ◽  
2018 ◽  
Vol 18 (8) ◽  
pp. 2548 ◽  
Author(s):  
Run Tian ◽  
Lin Ma ◽  
Zhe Wang ◽  
Xuezhi Tan
Keyword(s):  
Spectrum Sharing ◽  
Network Performance ◽  
Signal To Noise Ratio ◽  
Interference Management ◽  
Interference Alignment ◽  
Network Capacity ◽  
High Signal ◽  
Noise Power ◽  
Optimal Capacity ◽  
Iot Devices

This paper considers interference management and capacity improvement for Internet of Things (IoT) oriented two-tier networks by exploiting cognition between network tiers with interference alignment (IA). More specifically, we target our efforts on the next generation two-tier networks, where a tier of femtocell serving multiple IoT devices shares the licensed spectrum with a tier of pre-existing macrocell via a cognitive radio. Aiming to manage the cross-tier interference caused by cognitive spectrum sharing as well as ensure an optimal capacity of the femtocell, two novel self-organizing cognitive IA schemes are proposed. First, we propose an interference nulling based cognitive IA scheme. In such a scheme, both co-tier and cross-tier interferences are aligned into the orthogonal subspace at each IoT receiver, which means all the interference can be perfectly eliminated without causing any performance degradation on the macrocell. However, it is known that the interference nulling based IA algorithm achieves its optimum only in high signal to noise ratio (SNR) scenarios, where the noise power is negligible. Consequently, when the imposed interference-free constraint on the femtocell can be relaxed, we also present a partial cognitive IA scheme that further enhances the network performance under a low and intermediate SNR. Additionally, the feasibility conditions and capacity analyses of the proposed schemes are provided. Both theoretical and numerical results demonstrate that the proposed cognitive IA schemes outperform the traditional orthogonal precoding methods in terms of network capacity, while preserving for macrocell users the desired quality of service.

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