Abstract
The objective of 4G network is to provide best services to the users which in turn made the performance of existing network more critical. Further, the large traffic generated in such networks creates congestion resulting in overloading of the system. Frequent delays, loss of packets, and in addition the number of retransmission/paging also increases the computational cost of the system. This paper proposes a novel way to reduce overloading and retrieval mechanism for VLR through optimized search, based on the information of users mobility pattern (User profiles based (UPB)) to track the user. This not only improves the overall performance of the system, especially in the events when the visitor location register (VLR) is overloaded due to heavy traffic and congestion of the network. It was also established through simulation studies that the proposed UPB scheme optimizes the search and reduces the average waiting time in a queue. In addition, the provision of VLRW (waiting visitor location register) avoids the overloading of main VLR and provides a recovery/retrieval mechanism for VLR failure.
Highlights
Mobile cellular technology has evolved at a fast rate over the past few decades
The advantage of the proposed scheme is that it reduces the probability of overloading state in visitor location register (VLR) and as soon as VLR will approach overloading, a certain number of users will be moving in VLRw .To avoid any overloading in VLRw, we have proposed to implement the user profile based (UPB) scheme which provides seamless service to mobile users even in case of VLR failure
We have proposed to have user profile included in the VLRw database to employ the UPB scheme
Summary
Mobile cellular technology has evolved at a fast rate over the past few decades. In a cellular network, user mobility is considered as main phenomenon and a major concern. It becomes important for location schemes to track the mobile user movement pattern accurately and within a specified time Location management addresses this issues of how to track and locate a mobile user within a network as well as the use of HLR and VLR for location management [1,2]. While the number of mobile subscribers is increasing, it is important from a service providers point of view to have customer loyalty. As it is evident that generally a user follows a fixed route or schedule in his day to day life so all the preferable location is generally known This prior information is added to the profile of the user leading to a mechanism named as user profile based (UPB) scheme.
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