It is a tedious business to build enough coverage, data and signaling capacity without overdimensioning and thus overspending
Voice calls, video streaming, internet browsing, smartphone app signaling, video calls all require a different combination of parameters for quality service.
Voice patterns are continuous
It takes two to make a phone call, and the data rate is a low 10 kbit/s. After one hour of talking, about 4,5 Mbytes of data have been transferred. Only festivities or emergencies will move enough people to call at the same time and so ask for more than the dimensioned network capacity.
Data use patterns are singular
However, the story is different when it comes to smartphone usage: Modern touch screen smartphone users will soon request 42 Mbps of data just touching the screen, anytime.
Planning and tuning heterogeneous networks for data and signaling rich services
How can we deploy, commission and maintain one virtually ubiquitous connectivity cloud across all macro and micro technologies, Femto cells and WiFi, frequency bands and layers that delivers the right experience for data services?
On demand parameter settings and common spectrum management
A self-organizing network uses feedback algorithms and measurements to set parameters on demand for all cells, frequency layers, and services. Operators can achieve
instant capacity, signaling and coverage optimization with a unified Radio Resource Management. The cloud delivers suitable parameters for individual settings in simple terms.
Capacity where needed
Top speed for an active mobile broadband user needs bandwidth. More bandwidth needs a better signal. With active antennas, beams focus on users, giving them better signals. Pooling base band processing increases capacity through pooling gains, and lets the system shift capacity between sites or technologies on site.
Liquid Net applies cloud principles
Liquid Net is the first step towards redeploying capacity in simple terms. Liquid Net applies cloud principles, technology and thinking to network design and operation. The benefits are resiliency, lower cost, flexible capacity redeployment, and scalability for all types of system resources.
Examples of cloud technology are hardware capacity dispersed around the network, middleware linking diverse hardware to common software, redundant signaling and data paths.
Building a system that acts as one across all hardware types, technologies and frequency bands is the essential achievement of our roadmap to redeploy or assign capacity in simple terms.
This post is by Maik Braun from our Mobile Broadband team.