Cellcom Chooses NetEyes for Network Optimization for Deploying Over Its Entire Cellular Network

Cellcom (www.cellcom.co.il), the largest cellular operator in Israel, provides a very high service level, including a low rate of dropped calls (less than 1%). Cellcom deployed NetEyes at a couple of projects during 2005. Following these successful projects, a contract for deploying NetEyes over the entire network of Cellcom (tens of BSCs) was signed on Q1 2006.

During its operation, NetEyes enabled Cellcom to detect and prioritize clusters of dropped calls over the entire footprint of Cellcom's GSM network, while significantly contributing to eliminate these clusters.

Subject	Relevancy	Contribution
Detection	25%	25% of the problems detected by NetEyes are new to the RF group (could not be derived from cell-sector statistics and were not detected by test drives)
Saving Time	50%	NetEyes saves about 50% of the time required for detecting problems, analyzing them and find a solution due to the following benefits: Saving the time to find and filter sporadic, none important problems Reducing the time required to isolate a problem and find its root cause Reducing the time required to isolate a problem and find its root cause Providing immediate feedback on the impact of network modifications
Providing Solution	55%	NetEyes plays a critical roll in solving about 55% of the problems (including the new problems mentioned above). These couldn't be pinpointed or solved easily by traditional methods. NetEyes supplies the scope, circumstances and the location data required to solve these problems.
Prioritizing	100%	NetEyes sorts all the problems by significance and common circumstances, enabling problems prioritizing per magnitude and accurate cost/value analysis. NetEyes supplies the scope, circumstances and the location data required to solve these problems
Verification	100%	NetEyes continuously monitors the network, providing fast verification that problems were solved and no new problems occurred

Conclusions:

NetEyes was proved to be a most valuable tool for detecting, prioritizing and providing solutions to RF problems in very short durations, whereas traditional cell sector statistics and test drives supply only a partial solution requiring a long and costly process.

NetEyes proved to provide much faster ROI (Return On Investment) than any other optimization solution, by saving optimization time while achieving better results and reducing the amount of drive test required for detecting and solving RF problems.

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