Page 244 - Big data - Concept and application for telecommunications

5 Big data - Concept and application for telecommunications

Figure 6-8 – Big-data-driven mobile network planning and construction
based on customer experience

6.9.1.1 Data collection

It is useful to collect mobile user plane data and signal plane data that can be obtained through DPI and
network devices; additionally, customer personal data should be extracted from the BSS.

User plane data includes the customer MSISDN, service type, start time, end time, access base station
information, uplink traffic and downlink traffic for PS service.

Signal plane data includes performance measurement data and a measurement report. In a word, they can
record the whole process and the access base station of all customers when they use services.
Personal data includes customer basic information (e.g., age, occupation) and consumption information (e.g.,
service plans).
6.9.1.2 Data analysis

Data collected in clause 6.9.1.1 can be correlated to analyse customer experience of service use. For the PS
service, indexes reflecting experience, e.g., speed, time delay and success rate of service, can be calculated.
Indexes can also be derived, e.g., for time delay of call and call completion rate, for the circuit switch (CS)
service.
A statistical module is required for every base station to evaluate customer experience there. Additionally,
the experience evaluation can be called the comprehensive experience of the base station.
Furthermore, service demand can be assessed in the coverage area of every base station to support their
decision-making. Service demands can be calculated, e.g., from visitor flow, visitor type breakdown (e.g., 30%
students, 20% active workers) in a specified area or service consumption capacity.

236 Network and infrastructure