IoT/M2M Network Capacity Planning Analytics

The Internet of Things is gaining popularity and it will enable the development of new applications that will be useful to businesses in almost any industry and in society. It is expected that more than 50 billion IoT devices will communicate via telecoms networks and will send an enormous amount of data. One major challenge to the successful deployment of this large and heterogeneous network is the problem of capacity planning. An in-depth knowledge of IoT traffic characteristics is necessary to optimize the capital expenditure (CAPEX) but no work has been done so far in this area. The goal of this research project is to use analytics to design models that will guide the capacity planning activity of future networks to meet both the requirements of IoT services and the business objectives of the operators. These models will be implemented in a network capacity planning tool and some tests will be conducted for validation and performance assessment.

Faculty Supervisor:

John William (Bill) Atwood

Student:

Mama Nsangou Mouchili

Partner:

Ericsson Canada

Discipline:

Engineering - computer / electrical

Sector:

Information and communications technologies

University:

Concordia University