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Performance tradeoff of MVNOs in OFDMA-Based virtualized wireless networks

Mili, M.R ; Sharif University of Technology | 2022

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  1. Type of Document: Article
  2. DOI: 10.1109/TVT.2021.3124312
  3. Publisher: Institute of Electrical and Electronics Engineers Inc , 2022
  4. Abstract:
  5. In this paper, we analyze the tradeoff between the profits gained by mobile virtual network operators (MVNOs) in an orthogonal frequency division multiple access (OFDMA)-based virtualized wireless network (VWN). In this respect, MVNOs rent the network resources from a mobile network operator (MNO) to create virtual resources based on allocated rates and the cost due to allocated transmit powers in two different strategies: resource-based isolation strategy and rate-based isolation strategy. In resource-based isolation strategy, it is assumed that the whole bandwidth in each base station is divided equally between MVNOs whereas in rate-based isolation strategy, the whole bandwidth in each base station is allocated dynamically between MVNOs. We then formulate a multi-objective optimization problem (MOOP) to show the tradeoff between the maximum profit of each MVNO. To solve the formulated MOOP, we adopt the weighted Tchebycheff approach, which can provide the complete Pareto optimal region for nonconvex problems. Thus, by developing such formulation, we will be able to find the best profit gained by MVNOs. We also employ monotonic optimization to obtain the global optimal solutions of the non-convex problems by applying polyblock outer approximation algorithm. Our numerical results show the importance of the aforementioned tradeoffs and confirm that the proposed geometric programming (GP) based algorithm achieves excellent performance as compared to the monotonic method. © 1967-2012 IEEE
  6. Keywords:
  7. Geometric programming (GP) ; Mobile virtual network operator (MVNO) ; Monotonic optimization ; Multi-objective optimization problem (MOOP) ; Orthogonal frequency devision multiple access (OFDMA) ; Virtualized wireless network (VWN) ; Approximation algorithms ; Bandwidth ; Base stations ; Costs ; Frequency division multiple access ; III-V semiconductors ; Indium phosphide ; Mathematical programming ; Multiobjective optimization ; Orthogonal frequency division multiplexing ; Pareto principle ; Semiconducting indium phosphide ; Wireless networks ; III-V semiconductor material ; III/V semiconductors ; Mobile virtual network operator ; Multi-objective optimization problem ; Network resource ; Nonconvex problem ; Optimisations ; Performance tradeoff ; Resource management ; Resources based ; Numerical methods
  8. Source: IEEE Transactions on Vehicular Technology ; Volume 71, Issue 1 , 2022 , Pages 697-712 ; 00189545 (ISSN)
  9. URL: https://ieeexplore.ieee.org/document/9599368