SDRAN-based user association and resource allocation in heterogeneous wireless networks

Zalghout, Mohamad; Khalil, Ayman; Crussière, Matthieu; Abdul-Nabi, Samih; Hélard, Maryline

doi:10.1109/wcnc.2016.7564686

Cited by 1 publication

(1 citation statement)

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“…There are several works in the literature proposing resource allocation techniques in virtualized wireless networks, leveraging the synergy between SDN and multi-layer resource management. For example, [14] and [15] focus on how to carry out vertical handover across cellular network and WiFi access points for traffic offloading and user experience improvement, respectively. In [16], the physical-layer resources from different MNOs are virtualized as achievable data rates and a rate allocation optimization problem is studied.…”

Section: B Related Workmentioning

confidence: 99%

Antenna Allocation and Pricing inVirtualized Massive MIMO Networks via Stackelberg Game

Liu

Derakhshani

Parsaeefard

et al. 2018

IEEE Trans. Commun.

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We study a resource allocation problem for the uplink of a virtualized massive multiple-input multiple-output system, where the antennas at the base station are priced and virtualized among the service providers (SPs). The mobile network operator (MNO) who owns the infrastructure decides the price per antenna, and a Stackelberg game is formulated for the net profit maximization of the MNO, while the minimum rate requirements of SPs are satisfied. To solve the bi-level optimization problem of the MNO, we first derive the closed-form best responses of the SPs with respect to the pricing strategies of the MNO, such that the problem of the MNO can be reduced to a single-level optimization. Then, via transformations and approximations, we cast the MNO's problem with integer constraints into a signomial geometric program (SGP), and we propose an iterative algorithm based on the successive convex approximation (SCA) to solve the SGP. Simulation results show that the proposed algorithm has performance close to the global optimum. Moreover, the interactions between the MNO and SPs in different scenarios are explored via simulations.

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Section: B Related Workmentioning

confidence: 99%