DocumentCode
580419
Title
Divide and share: A new approach for optimizing backup resource allocation in LTE mobile networks backhaul
Author
Venmani, Daniel Philip ; Gourhant, Y. ; Zeghlache, Djamal
Author_Institution
Orange Labs., France Telecom R&D, Lannion, France
fYear
2012
fDate
22-26 Oct. 2012
Firstpage
189
Lastpage
193
Abstract
In this paper we analyze the link capacity requirements for microwave backhaul architecture when two different Mobile Network Operators (MNOs) decide to “divide and share” their primary resource (working path) with each other as an alternative for investing in a backup path to reduce cost investments. To examine and to develop practicable performance bounds on resource sharing, we make an estimation of the resource utilization and derive integer linear programming (ILP) counterparts. Given the complexities of solving ILP, we also propose heuristic-based resource provisioning algorithm which allows MNOs to share their primary resource with (an)other MNO(s), without having to sacrifice their own traffic demand requirements. Illustrative numerical results show the effectiveness of our resource provisioning approach in terms of network resource utilization and connection blocking probability.
Keywords
Long Term Evolution; integer programming; linear programming; probability; resource allocation; ILP; LTE mobile networks backhaul; MNO; backup resource allocation; connection blocking probability; heuristic-based resource provisioning algorithm; integer linear programming; microwave backhaul architecture; mobile network operator; resource utilization; Algorithm design and analysis; Availability; Bandwidth; Channel allocation; Optimization; Resource management; Routing; 4G-LTE; Capacity Provisioning; Infrastructure Sharing; Operating Point Equilibria; Theory and Modeling;
fLanguage
English
Publisher
ieee
Conference_Titel
Network and service management (cnsm), 2012 8th international conference and 2012 workshop on systems virtualiztion management (svm)
Conference_Location
Las Vegas, NV
Print_ISBN
978-1-4673-3134-0
Electronic_ISBN
978-3-901882-48-7
Type
conf
Filename
6380012
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