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Contemporary cellular networks facing interesting design challenges. In attempt to improve spectral efficiency and capacity, much of the contemporary planning and design brings the signal close to the end user. This leads to use of extensive microcell, picocell and in-building installations. These types of deployments require careful and knowledgeable planning that avoids intra system interference. The interference is managed through adjustment of network parameters, RF configurations of the equipment and careful placement of the cellular sites. 

Better World Analytics team has many years of experience in planning of cellular systems from the standpoints of coverage, capacity and quality of service. We help our customers in:

• RF Design
• Capacity planning
• Interference and spectrum management
• Evaluation and integration of micro/pico and in-building cell deployments
• Backhaul planning
• Performance assessment

A typical cellular network provides service to many millions of subscribers. In its normal operation, a cellular network collects a significant set of information on its users. For example:

• The network needs to know the approximate location of each user, so that it can direct the calls properly
• The network needs to know how each customer utilizes his or her phone, so that it can generate an accurate monthly bill
• The network needs to have access to each user’s profile, so that it may determine his or her eligibility to a given type of service

All this information is collected on an on-going basis and stored as a part of several types of data files. The size of these data is large, and, for that reason, they are commonly referred to as Cellular Big Data. The most common and widely available cellular big data files are listed as follows:

• Call Detail Records (CDRs)
• Subscriber demographics
• Minimization of Drive Test (MDT) data
• WiFi access point logs
• Location Update logs (LU)

Better World Analytics teams offers services in the analysis of Cellular Big Data. The analyses of such data may support many use cases in very diverse arrays of application. Some examples may include:

• Determination of Origin/Destination matrices
• Assessment of population mobility
• Road traffic planning
• Evaluation of public events 
• Marketing campaigns
• Service business growth planning
• Crowd management, and many others. 

Better World Analytics has a first-class software development team. We work on full stack development over big data. Members of our team are experienced on Apache Hadoop, Apache Hive, Apache Spark and Apache Cassandra, Zeppelin and other tools used in handling and analytics of big data. Even though the available tools are wide in scope, and in principle may be used for handling any data sources, our team is focused on cellular big data. We feel that in this area, our big data analytics experience and our domain knowledge create perfect combination. 

We have several big data platforms developed for support of cellular big data and IoT deployments over cellular networks. The platforms may be easily customized for wide variety of practical applications. Some expels, include tracking and monitoring, near real time metering and variety of alarm-based applications.

For free consultations, please contact us at office@betterworld.net