Link Capacity Dimensioning of Microwave Backhaul Using Real-time Traffic in the case of the Ethio Telecom Network
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Date
2021-09
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Addis Ababa University
Abstract
As technology advances, the traffic demand has increased in tandem with the evolution of mobile service
types, and prompting mobile operators to enhance their network capacity. Because optimum link capacity
planning is expressed in terms of both cost and network performance, operators face a challenge in
managing limited network resources such as microwave channel frequency and modulation order. Although
the peak capacity of mobile services for provisioning of uplink microwave backhaul has resulted
in underutilized links, it is a prevalent practice among service providers due to its ease of installation.
Underutilized microwave links required higher transmission power and antenna size due to excessive
modulation order, and frequency channel spacing which decreases receiver sensitivity, that affects link
reliability. Thus, the fundamental purpose of this study is to optimize underutilized microwave link capacity
using a real-time traffic to free up unused resources. Hence, this paper proposed an approach of
link capacity dimensioning using Probabilistic approach for busy hour traffic, and SARIMA time series
modeling for future traffic trend of sample sites from Addis Ababa. Therefore, the study’s key findings
include 40% of sites in sample space have been reduced the unused channel frequency by half, 92% of
sites optimized their modulation order by one forth, and improvement of overall link percentage utilization
from 31% to 60% as minimum, as well as link reliability improvement of the microwave backhaul
in particular, comparatively with the existing link capacity using the proposed approach.
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Keywords
MW Mobile backhaul, real-time link capacity dimensioning, SARIMA Modeling