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LTE Base Station Congestion Mitigation using Game Theory and Radio Resource Allocation Techniques

conference contribution
posted on 2024-11-03, 13:38 authored by Aviroop Ghosh, Karina Mabell Gomez Chavez, Kandeepan SithamparanathanKandeepan Sithamparanathan
This paper proposes the implementation of an LTE base station congestion mitigation algorithm that is developed based on the principles of non-cooperative game theory. This algorithm provides a unique game model for radio resource allocation as well as congestion mitigation in an LTE network. The game theoretic controller's congestion management capability is compared with other LTE based congestion mitigation models such as Discard Timer and Random Early Detection in an end to end wireless network. The transport layer protocol for user packets considered is Transmission Control Protocol. This study focuses on users with low mobility or connected in a fixed wireless network. The results from this study suggest that congestion management using non-cooperative game theory can be successfully implemented and it provides a more robust alternative to traditional congestion mitigation models such as Discard Timer or Random Early Detection for LTE networks.

History

Related Materials

  1. 1.
    DOI - Is published in 10.1109/ISNCC49221.2020.9297193
  2. 2.
    ISBN - Is published in 9781728156286 (urn:isbn:9781728156286)

Number

9297193

Start page

1

End page

6

Total pages

6

Outlet

2020 International Symposium on Networks, Computers and Communications, ISNCC 2020

Name of conference

International Symposium on Networks, Computers and Communications (ISNCC)

Publisher

Institute of Electrical and Electronics Engineers

Place published

United States

Start date

2020-10-20

End date

2020-10-22

Language

English

Copyright

© 2020 IEEE.

Former Identifier

2006106241

Esploro creation date

2022-11-12

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