1 research outputs found
Joint Spectrum Reservation and On-demand Request for Mobile Virtual Network Operators
With wireless network virtualization, Mobile Virtual Network Operators
(MVNOs) can develop new services on a low-cost platform by leasing virtual
resources from mobile network owners. In this paper, we investigate a two-stage
spectrum leasing framework, where an MVNO acquires radio spectrum through both
advance reservation and on-demand request. To maximize its surplus, the MVNO
jointly optimizes the amount of spectrum to lease in the two stages by taking
into account the traffic distribution, random user locations, wireless channel
statistics, Quality of Service (QoS) requirements, and the prices differences.
Meanwhile, the acquired spectrum resources are dynamically allocated to the
MVNO's mobile subscribers (users) according to fast channel fadings in order to
maximize the utilization of the resources. The MVNO's surplus maximization
problem is naturally formulated as a tri-level nested optimization problem that
consists of Dynamic Resource Allocation (DRA), on-demand request, and advance
reservation subproblems. To solve the problem efficiently, we rigorously
analyze the structure of the optimal solution in the DRA problem, and the
optimal value is used to find the optimal leasing decisions in the two stages.
In particular, we derive closed-form expressions of the optimal advance
reservation and on-demand requests when the proportional fair utility function
is adopted. We further extend the analysis to general utility functions and
derive a Stochastic Gradient Decent (SGD) algorithm to find the optimal leasing
decisions. Simulation results show that the two-stage spectrum leasing strategy
can take advantage of both the price discount of advance reservation and the
flexibility of on-demand request to deal with traffic variations.Comment: corrected typos; re-organise the presentation of the analytical
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