Coverage Optimization Tasks

//Coverage Optimization Tasks

Coverage Optimization Tasks

Coverage Optimization Tasks

Coverage Optimization Tasks

A number of approaches to the coverage optimization task cost. One methodical way is as follows:

1. The first task is to confirm that minimum uplink coverage levels have been met. We do this by ensuring that the best server RSRP is above a certain threshold, as determined by the field data analysis.

2. The next task is to inspect the coverage of each cell by inspecting the best server RSRP plot. This can expose instances of over-propagation and poor server dominance.

3. A DL RS pollution plot can come in handy. This plot indicates the presence of DL RS pollution so that geographic areas can be targeted for optimization.

4. A relative rank plot can also be useful. A relative rank plot is a per-cell plot that indicates the areas where the selected-cell DL RS is best server, second-best server, third best, and so on. This plot provides tremendous insight into how well a cell dominates its intended service area, and how badly it propagates out of its intended footprint.

‣A best-server DL RS SINR plot might be useful in identifying polluted and/ or poor dominance areas that haven’t otherwise been revealed through the above tasks.

‣Areas with low levels of DL RS SINR are indicative of excessive interference or noise. However, one must be careful when utilizing RSRQ plots, as they might not be indicative of good coverage.

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2019-03-14T17:13:27+00:00
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