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Network Planning Algorithms for Optimizing Signalling Load in Mobile Networks
Abstract
In the next generation IP-based mobile networks, one of the most important QoS parameters are the delay and the delay variation. The cell handover causes incremental signaling traffic, which can be critical from the point of view of delay variation. It worsens the quality parameters of the real-time services, which are the backbone of next generation mobile commercial services. We have designed and implemented two algorithms: a location area forming algorithm (LAFA) and a cell regrouping algorithm (CEREAL), which can help us to guarantee QoS parameters in the next generation mobile networks. We used our realistic mobile environment simulator to generate input statistics on cell changes and incoming call for our algorithms and by comparing the values of the cost functions proposed by us, we recognized that significant reduction was achieved in the amount of the signaling traffic, the location update cost was decreased by 40-60% in average. To confirm the results obtained by the realistic mobile environment simulator, a vehicular mobility simulator was used for generating the input to the algorithms for realistic vehicle mobility behavior. The same was recognized, that by employing our LA forming schemes, a significant reduction was attained in the signalling traffic that causes delay and delay variation, helping us improving QoS parameters in general.
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