| Autor: |
Madhav J. Nigam, Aman Sanwal, Pyari Mohan Pradhan |
| Rok vydání: |
2018 |
| Předmět: |
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| Zdroj: |
2018 5th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON). |
| DOI: |
10.1109/upcon.2018.8596893 |
| Popis: |
The enormous competition and the increasing number of user equipment (UE) in the telecommunications market has garnered attention towards the necessity of optimized and cost-efficient networks. Tracking the position of UEs while minimizing signalling cost is a key problem that needs to be solved for upcoming 5G networks. Tracking area (TA) is a term used for assemblage of cells (nodes) in long term evolution networks. Planned distribution of TAs, depending on the mobility pattern of UEs, is a technique used to optimize the signalling overhead, and plays a vital role in utilizing the resources efficiently. TAs must be reconfigured over the time intervals so as to adapt them to the variation in UE's pattern. Compared to earlier generations of cellular networks, 5G networks will have more flexible configuration of TAs as it will utilize the concept of tracking area list, given in 3GPP release 8. One of the objectives of 5G mobile network is to cope up with an ever-increasing number of UEs. This paper forms a basis for TA reconfiguration in 5G network using game theory, and finds an optimal solution for optimizing the signalling overhead of the network. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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