T. Sanguanpuak, D. Niyato, N. Rajatheva and M. Latva-Aho, "Radio Resource Sharing and Edge Caching with Latency Constraint for Local 5G Operator: Geometric Programming Meets Stackelberg Game," in IEEE Transactions on Mobile Computing, vol. 20, no. 2, pp. 707-721, 1 Feb. 2021, doi: 10.1109/TMC.2019.2948630
Radio resource sharing and edge caching with latency constraint for local 5G operator : geometric programming meets Stackelberg game
|Author:||Sanguanpuak, Tachporn1; Niyato, Dusit2; Rajatheva, Nandana1;|
16G Flagship, Centre for Wireless Communications (CWC), University of Oulu, Finland
2School of Computer Science and Engineering, Nanyang Technological University (NTU), Singapore
|Online Access:||PDF Full Text (PDF, 1 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2019121146677
Institute of Electrical and Electronics Engineers,
|Publish Date:|| 2019-12-11
We develop a novel game-theoretic framework with geometric programming to model and analyze cache-enabled base stations (BSs) with infrastructure sharing for local 5G operator (OP) networks. In such a network, the local 5G OP provides wireless network in indoor area and rents out the infrastructure which are RAN and cache storage to multiple mobile network operators (MNOs) while guarantee the quality-of-experience (QoE) at the users (UEs) of MNOs. We formulate a Stackelberg game model where the local 5G OP is the leader and the MNOs are the followers. The local 5G OP aims to maximize its profit by optimizing its infrastructure rental fee, and the MNOs aim to minimize their renting cost of infrastructure by minimizing the “cache intensity” subject to latency constraint at each UE. The optimization problems of the local 5G OP and the MNOs are transformed into geometric programming. Accordingly, the Stackelberg equilibrium is obtained through the succesive geometric programming method. Since the MNOs share their rented infrastructure, for cost sharing, we apply the concept of Shapley value to divide the cost among the MNOs. Finally, we present an extensive performance evaluation that reveals interesting insights into designing resource sharing with edge caching in local 5G OP networks.
IEEE transactions on mobile computing
|Pages:||707 - 721|
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
This work has been financially supported by the Academy of Finland 6Genesis Flagship (grant no. 318927).
|Academy of Finland Grant Number:||
318927 (Academy of Finland Funding decision)
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