SMART GRID consists of three essential elements, namely information technology,
telecommunications and electricity or Gas. These three elements work together to enable two-way
communication between the utility company PLN with consumers. With SMART GRID, electrical
energy transfer not only from the electricity provider for the consumer, but also vice versa.
With SMART GRID technology as well, consumers will have fully control to manage their
energy consumption. Sensors and automatic control technology in the SMART GRID allows setting
the activation of consumer electrical appliances automatically taking into account the amount of
electrical energy. All data is recorded on the sensor will be sent to the utility company to be
processed in order to determine the future development strategy. Advanced Metering Infrastructure
(AMI) plays an important role in data collection sensors. Nowadays Telkom has tested and
successfully using the USSD protocol in GSM technology or Indihome WIFI network as access
media to the AMI network, especially for PLN.
In accordance with the development trend of telecommunication, LTE is currently a priority
of network expansion of service provider network, so it is necessary to do research on the
performance of metering data collection using the LTE network in the AMI environment. The
problem is a lot of devices in the Smart Grid communications environment, such as sensors (smart
meters) and the control device, to send or receive small packages at fairly frequent intervals. LTE is
not designed for this traffic pattern, it is designed to support voice traffic and data that sudden and
large where individual users may send or receive a package of relatively large (eg, with respect to
web browsing).
In this study the authors using Round Robin Scheduling, it is considered most likely to deliver the two interests that the individual users as
well as of the smart meter. Evaluation is done by means of simulation using NS3, with preliminary
data comparing the default scheduling in LTE, and continued by using several traffic conditions and
the number of nodes that are involved specifically with the Round Robin scheduling to find numbers
of node that can be served. As results, by considering the QoS measurements showed that the
number of nodes that can be served numbers of 300 nodes Smart meters.