On the Performance of Location Management in 5G Network Using RRC Inactive State

On the Performance of Location Management in 5G Network Using RRC Inactive State

Among the characteristics in fifth generation (5G) networks, a massive number of devices and a network densification stand out. Hence, efficient location management is a key factor in enabling the network to track each user under the coverage area. In order to fulfill the requirements of 5G, a novel...

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Bibliographic Details
Published in:IEEE access Vol. 10; pp. 65520 - 65532
Main Authors: Oliveira, Lidiano A. N., Alencar, Marcelo S., Lopes, Waslon T. A., Madeiro, Francisco
Format: Journal Article
Language:English
Published: Piscataway IEEE 2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
3GPP
5G mobile communication
5G networks
Cellular mobile system
Costs
Densification
Genetic algorithms
location management
location update
Long Term Evolution
Network latency
Optimization
Paging
Radio access networks
RNA
RRC states
Signaling
Wireless networks
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Summary:Among the characteristics in fifth generation (5G) networks, a massive number of devices and a network densification stand out. Hence, efficient location management is a key factor in enabling the network to track each user under the coverage area. In order to fulfill the requirements of 5G, a novel location management strategy was introduced by the 3rd Generation Partnership Project (3GPP) based on a new Radio Resource Control (RRC) state. This article presents a new methodology to find out an optimum network configuration that minimizes the signaling costs associated with the location management scheme for 5G networks. In addition to procedures triggered by the core network, the signaling costs are calculated taking into account the paging and update procedures performed in the Radio Access Network (RAN). A genetic algorithm is applied to optimize the network by reducing signaling costs caused by location management procedures, obtained from a 5G network system-level simulator focusing on mobility events. The proposed approach is compared to the schemes used in previous mobile networks. The results indicate that the new scheme decreases the signaling cost and reduces latency in various network sizes and user profile.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2022.3178383