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In the traditional distributed load balancing scenarios, there is a possibility that multiple overloaded cells choose the same target cell for load balancing, causing a new overload situation or ping-pong handovers [6, 14].
Figure 8 Virtual load in overloaded cells no.
Dynamic cell sizing is able to increase the capacity of the forward link by shedding the traffic of overloaded cells to neighboring cells.
This also manifests in the distribution of the average user SINRs defined in (7) which are shown in Figure 11 for the overloaded cells.
MLB use case aims to share users from overloaded cells to their low loaded neighboring cells in order to gain network capacity and improve overall QoS.
During heavy traffic, dynamic cell sizing is able to increase the capacity of the forward link by delegating the traffic from overloaded cells to adjacent uncongested cells in order to promote optimum utilization of the pilot power.
Similar(51)
As demand for the radio channels within a given cell increases beyond the capacity of that cell (as measured by the number of calls that may be supported simultaneously), the overloaded cell is "split" into smaller cells, each with its own base station and central controller.
Figure 9 P0 settings in overloaded cell no.
Figure 11 SINR distribution in overloaded cell no.
UDR indicator at the most overloaded cell, i.e., at the hotspot, is shown in Figure 6b.
For instance, means a 10% overloaded cell, and means that the cell is double overloaded, that is, half of the users will be unsatisfied.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com