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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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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