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Techno-Economic Analysis of LTE Deployment Scenarios for Emerging City in Africa: A Case of Adama, Ethiopia

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Information and Communication Technology for Development for Africa (ICT4DA 2019)

Abstract

The exponential growth of mobile broadband demand in emerging cities has been pushing deployment of long-term evolution (LTE) mobile technology. LTE can have various deployment scenarios in terms of various factors including enabled features, bandwidth usage, transmission frequency, requirements and other factors. To plan and deploy comprehensively effective LTE network for a given city, undertaking techno-economic analysis (TEA) is a very important task for mobile operators. Various literature also presents TEA for LTE deployment for different network requirements and deployment environment. Yet, such LTE study is rare for African emerging cities and it has not been done for Ethiopian ones. In this paper, we first formulate potential LTE deployment scenarios for one of the emerging cities in Ethiopia called Adama. Then to thoroughly understand viability of the formulated deployment scenarios, we present TEA assuming 7 years study period and continuation of current monopoly telecom market in the city. For the analysis, we apply modified TERA model that is implemented in MATLAB. The payback period results show that deployment of LTE in the emerging city using 1800 MHz band under high and low capacity demand and using 2100 MHz band under only high capacity demand are economically viable as they have payback periods less than 3.5 years.

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Correspondence to Dechasa Negash Fekadu or Beneyam Berehanu Haile .

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Annex 1

Annex 1

Detail radio link parameters assumptions.

Parameters

Variable for both UL and DL

Duplex Mode

FDD

Operating frequency

1800/2100

System Bandwidth (MHz)

20

Number of PRB per assigned BW

100 for 20

MIMO Scheme (MS)

1 × 2 UL, 2 × 2 DL

Cell Edge Rate (Mbps)

1 for UL, 2 for DL

Allocated RB at cell edge (10%)

10 for 20BW

Factor A

0.42 X2 for 2 × 2 MIMO, 0.42 for 1 × 2 MIMO

Factor B

0.85 for 2 × 2MIMO

PRB bandwidth (Mbps)

180 kHz

Rate per PRB (Mbit/s)

Cell edge/Allocated PRB

Required Spectral efficiency (bits/s/Hz)

Rate per PRB/PRB

SINR (LINEAR)

Factor B * (2^ (SE/Factor A)-1)

SINR (dB)

10 * log SINR(Linear)

eNodeB - UE

Number of PRBs (10%)

10

Downlink data rate (Mbps)

1 for UL, 2 for DL

eNodeB TX power (dBm)

46

eNodeB antenna gain (dBi)

~18

eNodeB antenna cable loss (dB)

1–2

EIRP (dB)

=gains − losses

UE receiver characteristics

UE noise figure (dB)

~7 dB

Thermal noise

B * T * PRB * BW

Receiver noise floor (dBm)

NF + B * T * PRB * BW

Required SINR (dB)

10 * log SINR(Factor B * (2^ (SE/Factor A) − 1))

Receiver sensitivity

Required SINR+ Receiver Noise

Control channel overhead (dB)

5%–25% (1 dB–4 dB overhead)

Rx antenna gain

0 for handset

Body loss

3–5 dB

Environmental characteristics

Indoor Penetration Loss (dB)

12–16 dB

Cell Edge Coverage Probability (%)

90–95%

Shadowing Margin (dB)

9.25–10.5

Interference margin (dB)

5–8

Maximum Allowed propagation loss (MAPL) (dB)

=gains − losses

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Fekadu, D.N., Haile, B.B. (2019). Techno-Economic Analysis of LTE Deployment Scenarios for Emerging City in Africa: A Case of Adama, Ethiopia. In: Mekuria, F., Nigussie, E., Tegegne, T. (eds) Information and Communication Technology for Development for Africa. ICT4DA 2019. Communications in Computer and Information Science, vol 1026. Springer, Cham. https://doi.org/10.1007/978-3-030-26630-1_18

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  • DOI: https://doi.org/10.1007/978-3-030-26630-1_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-26629-5

  • Online ISBN: 978-3-030-26630-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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