UMTS Features

Traffic / Load Analysis

CelPlanner™ can acquire information from different sources, and distribute it according to the demographic regions. CelPlanner™ accepts multiple demographic data, represented as residential, commercial, vehicular, and special events. To determine the positioning of calls, the distribution of subscribers must be known.

Traffic grids can be created with different resolutions, and the source of the demand data can be extracted in a number of different ways such as:

• A fixed amount of traffic can be distributed across the analysis area.
• Traffic information can be obtained directly from the demographic data.
• Traffic layers can be created for different building levels, allowing for modeling of multiple height effects.For networks in live operation, traffic information can be obtained from the switching equipment.

CelPlanner™ has incorporated Monte Carlo techniques to implement the most advanced UMTS predictions in the market. A UMTS prediction is affected not only by RF propagation factors, but also by the geographical distribution of the calls. Several factors are interrelated in a UMTS prediction, including the positioning of the cell sites, the interference generated by each call, the hand off parameters, and the number and location of calls. These and several other elements affect the outcome of system performance. MIMIC provides the precise calculation of load levels (total interference power), noise rise levels, statistical distribution for traffic channel power allocation, and the amount being attended by soft hand-offs, so critical in UMTS systems, in order to obtain precise and correct predictions.

Predictions

• Pilot Channel dBm - Graphically presents the pilot channel composite/indivdual coverage, in dBm. The predicted signal level is calculated at the user terminal receiver.
• Pilot Channel Ec/lo - choice is done considering the best Ec/Io ratio at that point
• Individual Forward Traffic - Prediction that represents the Eb/Io ratio (bit energy/ interference and noise spectral density) for the traffic channel in the forward link, that is, in the Mobile-Base direction, in dB. This result is presented in all the points of the terrain within the configured prediction radius.
• Individual Reverse Traffic - Prediction that represents the effective radiated transmission power (ERP) of the mobile station required to provide the site with the Eb/Io signal level required in the reverse link, that is, in the Mobile-Base direction, in Watt. This result is presented in all the points of the terrain within the configured prediction radius.
• Composite Reverse Traffic - Prediction that represents the lower transmission power of the mobile unit required in each point in order to provide a station with the Eb/Io level required in the reverse link.
• Pilot Best Server -
• Pilot Delta -
• Pilot Offset Conflict - Prediction exclusive of the UMTS system, system where all the RBSs use the same frequencies spectrum (frequencies reuse factor equal to 1), not allowing the RBSs to be identified by the frequencies used.
• Traffic Probability -
• Forward/Reverse Service -
• Forward Reuse Factor -
• Forward Noise Rise -
• Forward Load Factor -