Forte is our powerful measurement based 2G optimization tool that provides quality KPI-based evaluations. It also benchmarks your current network configuration and the performance of proposed frequency plans. The solution automates data collection, parsing, analysis, and implementation scripts, and delivers accurate network modeling and advanced simulation for spectrum refarming.
OPTIMIZATION OF MULTI-VENDOR NETWORKS
Forte helps to optimize complex multi-vendor GSM networks in a number of ways, including:
- Automatic Frequency Planning. The Optimal Frequency Optimizer is used daily for activities including instant allocation of low interference frequencies for new sites, and automatic frequency planning for complex network architectures, such as OL/UL, dual-band, mixed-frequency allocation schemes, and high prioritization of GPRS/EDGE traffic cells.
- Advanced Neighbor-list Optimization. The Neighbor-list Optimizer identifies missing neighbor relations and removes redundant ones. This reduces the number of dropped calls and the handover failure rate for GSM networks.
- Sophisticated RAN Parameter Optimization. The RAN Feature Optimizer performs local optimization of parameters related to handover, traffic load balancing, and troubleshooting, helping to maximize the overall network performance.
- Troubleshooting, including wrong azimuth, swapped sectors and overshooting sector detection.
SPECTRUM REFARMING SOLUTION
Spectrum is expensive. Any technology you add to your network requires spectrum. Our analysis of prices paid for LTE spectrum in North America and Europe shows that existing GSM and UMTS spectrum could be re-allocated to LTE deployments for less than 0.5% of the cost of buying new spectrum at auction.
In addition, lower frequencies, such as GSM900, propagate further and penetrate buildings better than higher frequencies, making them the preferred choice for LTE coverage. Lower frequency bands, however, are mostly fully allocated; meaning spectrum refarming is required to release these frequencies. As customers adopt newer technologies, older networks are often under-utilized, meaning spectrum refarmingcan be done on the older networks with no degradation of performance for users.
Spectrum refarming can be achieved based on predictions or on measurements. Our experience shows that a measurement-based approach achieves much better results. This is primarily due to discrepancies between planning tools and the actual network, which produces inconsistent results from prediction-based approaches.