After successful planning, design and Implementation Cellsenal offers network tuning that include adjusting the network variables prior to commercial launch. Our end-to-end Network Roll-Out to Post Launch tuning services address all the challenges you can face in network deployment.

• Preparation
• RAN Auditing
• Drive Test Routs
• Measurement
• Post processing
• Measurement & Analyses
• Recommendations & Implementation

Spectral efficiency is key to supporting a large subscriber base on limited available spectrum. To maximize the use of spectrum, a mix of footprint optimization or RF shaping is required in conjunction with parameter tuning and feature optimization. Cluster/Area optimization of a LTE and 3G network with macro and oDAS layers requires a complete cell footprint view in order to effectively optimize and maintain performance in a mature wireless network. The entire area and complimentary cell interactions are required rather than individual worst offender optimization typically undertaken today. To improve poor performing sites, oDAS nodes and areas, surrounding cell footprints need to be optimized to provide the best capacity and network quality.

With over 80% of all mobile data traffic occurring indoors, Cellsenal let you plan and optimize your indoor and outdoor small cells investments with great efficiency. When integrated with Cellsenal’s Director, it becomes a key component of your mobile network testing platform. Your subscribers want an exceptional indoor and outdoor mobile network experience, especially when you consider that over 80% of their data usage occurs indoor and outdoor. With Cellsenal, you can efficiently test your network indoor and outdoor, in venues and campuses, to gain the insights you need to improve your network coverage.

Drive testing has been part of the network deployment and management process for quite some time. Long testing duration, costly data collection process and inability to analyze indoor traffic are some of the shortcomings of conventional drive testing. With drive-less tuning, network data can be collected automatically. There are some challenges which we can face such as:

• Expensive drive tests for measuring/monitoring performance
• Time Consuming Activity
• Separate tools for different activities
• Perform pre-post drive tests after every change

But we have proposal which can help us to cope up with all these challenges:

• Use drive-less approach to conduct optimization activities
• Automate the data pull and have intelligent correlation rules for faster resolution
• Automate identification/ analysis of performance affecting issues