Performance Evaluation of a Deployed 4G LTE Network

Tchao, Eric Tutu; Gadze, James Dzisi; Agyapong, J. O.

doi:10.48550/arxiv.1804.05771

Cited by 3 publications

(3 citation statements)

References 14 publications

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“…In all settings, it was impossible to recommend just one generic model. Authors [18], examined 4G LTE BS's throughput performance to see whether LTE can support data requirements of broadband applications.…”

Section: Related Workmentioning

confidence: 99%

Empirical Path Loss Modelling for Selected LTE Networks in FUTA Campus, Ondo State, Nigeria

2023

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Deployed Long Term Evolution (LTE) networks in Nigeria can barely meet the desired 100 Mbps downlink throughput leading to unsatisfactory quality of experience by mobile users. Typically, mobile network operators (MNOs) rely on network planning tools designed for generalized environments. These tools employ legacy propagation models that may not be suited to the operational environments under consideration. As such, the efficiency of such legacy path loss models suffers when they are used in environments different from those for which they have been designed, and this poses a major challenge to the MNOs. This is because the Nigerian geographical areas and topographical features vary widely from the areas where the legacy models were developed. Several studies in Nigeria and other African countries have shown that the legacy path loss models perform unsatisfactorily when compared with field measurement data. To address this challenge and enable accurate path loss prediction for an urban campus environment, extensive measurements at 2600 MHz were carried out in the main campus of the Federal University of Technology Akure (FUTA), Ondo State, Nigeria. The measurement results were compared with the path loss predictions from the commonly-used legacy propagation models (Free space and 3GPP TR 36.873). The results show that the legacy path loss models under-predict the path loss averagely by 20-40 dB, and up to 88 dB in some cases, for the considered environment. Root mean square error (RMSE) values in the range of 1.895 and 9.159 were also observed along the routes. The measurement results will enable the MNOs to adjust the path losses in order to deliver improved quality of service.

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Section: Related Workmentioning

confidence: 99%

Empirical Path Loss Modelling for Selected LTE Networks in FUTA Campus, Ondo State, Nigeria

2023

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“…On the background that deployed WiMAX networks, failed to meet the optimum service quality requirements for delivering continuous wireless connectivity requests in the sub-Sahara region needed for emerging mobile applications, [18] investigated the throughput performance of a deployed 4G LTE Site to ascertain if LTE meets the bandwidth demand needed for data-centric broadband applications. Field data from a deployed 4G LTE BS in Ghana operating at 2600 MHz recorded a maximum throughput of 29.9 Mbps per sector.…”

Section: Related Workmentioning

confidence: 99%

Improved Propagation Models for LTE Path Loss Prediction in Urban & Suburban Ghana

Gadze¹,

Agyekum²,

Nuagah³

et al. 2019

IJWMN

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To maximize the benefits of LTE cellular networks, careful and proper planning is needed. This requires the use of accurate propagation models to quantify the path loss required for base station deployment. Deployed LTE networks in Ghana can barely meet the desired 100Mbps throughput leading to customer dissatisfaction. Network operators rely on transmission planning tools designed for generalized environments that come with already embedded propagation models suited to other environments. A challenge therefore to Ghanaian transmission Network planners will be choosing an accurate and precise propagation model that best suits the Ghanaian environment. Given this, extensive LTE path loss measurements at 800MHz and 2600MHz were taken in selected urban and suburban environments in Ghana and compared with 6 commonly used propagation models. Improved versions of the Ericson, SUI, and ECC-33 developed in this study predict more precisely the path loss in Ghanaian environments compared with commonly used propagation models.

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“…Another study conducted by Tchao et al [11] evaluated performance of 4G LTE networks, deployed in Ghana, at 2600 MHz frequency band. Throughput and coverage were computed to compare its performance based on different antenna configurations.…”

Section: Introductionmentioning

confidence: 99%

Performance Comparison between Massive MIMO Based Network and Conventional LTE Network for High Speed Broadband Connection in Rural Areas of Tanzania

Mwalongo

Kilavo

2023

JICTS

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People in rural areas need high-speed broadband connection for various services, including e-governance, virtual class rooms, telemedicine, video-on-demand, and home entertainment. However, in order to provide broadband services, service providers must incur high deployment costs and should wait for a long time for return on investments. Long-Term Evolution (LTE) has been proposed to overcome high deployment cost, although this technology suffers from poor coverage in rural areas. Thus, massive Multiple-Input Multiple-Output (MIMO) with its favorable propagation phenomenon can be exploited as an alternative solution to boost signal coverage in rural areas. The current study compared the performance of broadband networks for Tanzanian rural areas based on massive MIMO technology and LTE. Performance comparison is confined to Reference Signal Received Power (RSRP), User Signal-Interference Noise Ratio (SINRu) and Downlink (DL) throughput metrics for 5 MHz, 10 MHz and 20 MHz channel bandwidths at 2.1 GHz and 700 MHz carrier frequencies. The results show that, in terms of RSRP and SINRu, the performance of massive MIMO network at 5 MHz is higher than that of conventional LTE networks at 10 MHz and 20 MHz. Massive MIMO network performs better at lower channel bandwidth, making it more suitable for deployment in rural areas.

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Performance Evaluation of a Deployed 4G LTE Network

Cited by 3 publications

References 14 publications

Empirical Path Loss Modelling for Selected LTE Networks in FUTA Campus, Ondo State, Nigeria

Empirical Path Loss Modelling for Selected LTE Networks in FUTA Campus, Ondo State, Nigeria

Improved Propagation Models for LTE Path Loss Prediction in Urban & Suburban Ghana

Performance Comparison between Massive MIMO Based Network and Conventional LTE Network for High Speed Broadband Connection in Rural Areas of Tanzania

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