Based on these requirements, defense forces have several approaches
to consider when deploying the infrastructure of a true NCW
communication system.
The first is to imitate the methodologies present in the civilian
telecom sector. This approach is primarily focused on capital
expenditure (CAPEX) savings and may consider only the short
to medium term requirements of the network build. The common
practice in these cases is to design and build the network infrastructure
to support service provisioning and capacity requirements for
up to three years, assuming that future technologies and usage
growth will require additional CAPEX for supplementary network
build.
This, however, can cause serious disruptions to defense forces
as the total life cycle cost of the network build is more important
than the initial expense. Taking into consideration that militaries
replace their infrastructure at a much slower rate (about once
a decade) than their civil counterparts, if they adopt a technological
path that did not mature or take a prime position, they may
be faced with serious scalability and maintenance issues.
A different tack would be to combine this tactic with a more
technological life cycle approach, namely rolling out the infrastructure
on a staged basis using proven technologies like IP, MPLS and
NG-SDH, all of which have longer life expectancies. Concerning
infrastructure build, rolling out cutting-edge technologies
is not always the right future-proof method.
This “melding-approach” beckons NCW infrastructure,
a platform which uses a similar methodology as the above, yet
with a different implementation scheme and emphasis. The main
intent is to minimize “total cost of ownership”
and to streamline operating expenses (OPEX) by implementing
an integrated management system.
In the case of defense forces, with their long reach networks
deployed in remote locations, a unified and integrated management
system can make significant contributions towards reducing technical
manpower requirements for network maintenance and fixes. Using
Artificial Intelligence (AI), the system can also perform alarm
correlations, suggest and resolve network problems and allow
cross systems provisioning to reduce reaction time.
This approach is harder to implement as it requires a longer
planning process and a commitment to future needs. Done right,
however, the benefits clearly outweigh any shortcomings.
Part III - outlines
the layered approach as implemented by ECI.