Designing and Calculating Bandwidth of the LTE Network for Rural Areas

Tanwar, Sudeep; Khujamatov, Khalimjon; Turumbetov, Bairam; Reypnazarov, Ernazar; Allamuratova, Zamira

doi:10.18517/ijaseit.12.2.14950

Cited by 21 publications

(2 citation statements)

References 33 publications

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“…ICT Infrastructure allows people to access various web resources anywhere and anytime. This contributes to developing the Internet in regions and rural areas [58].…”

Section: Dimensionmentioning

confidence: 99%

Smart Banjar: An ICT Adoption Framework to Enhance People's Welfare

Joni,

Mokhtar,

Talip

et al. 2024

Int. J. Adv. Sci. Eng. Inf. Technol.

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Economic development has slowed dramatically in several countries during the COVID-19 pandemic, like in Indonesia. Bali Province was one of the regions that was severely affected. Due to its reliance on the tourism industry, Bali had the most significant negative growth. It is time for Bali and other regions to develop the potential of a locally-based, sustainable, and resilient economy to enhance the people’s welfare. Improving the community’s welfare can be done with the synergy of various entities—the synergy created by integrating programs in Banjar with microfinance to develop microenterprises. The main objective of this research is to ascertain the framework’s dimensions and components. Furthermore, the relationships between these dimensions or elements have been determined. Based on the findings, the two primary objectives were completed. This procedure has produced the Smart Banjar framework as a theoretical solution to enhance people’s welfare. This research created the information communication technology (ICT) adoption framework that uses the TOE theory as its theoretical basis. The Advisory Board serves as the environmental context for formulating policies. The policy will regulate governance to realize the synergy between microenterprises, microfinance, and Banjar in the organizational context. ICT adoption, including ICT infrastructure, ICT services, and ICT literacy, will support and optimize the synergy. Further investigation is required to ascertain the Advisory Board's specific constituents. Additional studies are needed to implement ICT, obtain empirical evidence, and prove its ability to improve people's welfare.

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“…ICT Infrastructure allows people to access various web resources anywhere and anytime. This contributes to developing the Internet in regions and rural areas [58].…”

Section: Dimensionmentioning

confidence: 99%

Smart Banjar: An ICT Adoption Framework to Enhance People's Welfare

Joni,

Mokhtar,

Talip

et al. 2024

Int. J. Adv. Sci. Eng. Inf. Technol.

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“…One of the technologies that can help to reduce cost is Long Term Evolution (LTE), which was proposed by Rekawt et al [4,5]. LTE radio networks differ with several other radio access technologies; LTE uses a new type of multiple access based orthogonal frequency-division multiplexing (OFDM) technology and massive multiple-input multipleoutput (MIMO) antenna technology [6].…”

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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