The invention discloses a wireless resource virtualization method based on Gaussian Fitting, which mainly solves a problem of resource virtualization based on Gaussian Fitting in a wireless network. The method comprises the following specific steps: 1, obtaining a channel state transition probability matrix; 2, obtaining probability distribution of channel capacity in a scheduling time slot; 3, performing Gaussian Fitting for probability density of the channel capacity; 4, obtaining channel virtual capacity available for allocation. With the wireless resource virtualization method based on Gaussian Fitting provided by the invention, fitting for a channel capacity probability density function is executed through Gaussian Fitting, complex details and specific implementation of fading channels are hidden by virtual channel capacity, resource capable of being directly used for allocation is extracted, resource is quantified, virtual resource calculation complexity is reduced, and virtual resource allocation efficiency is improved.

Wireless resource virtualization method based on Gaussian Fitting

The invention discloses a joint virtual MIMO resource allocation method based on dynamic multi-cell user pairing and mainly solves the problem that in the prior art, the spectrum efficiency is low and the communication quality is poor due to the fact that multi-cell user pairing and resource allocation of a system cannot be dynamically adjusted. The technical scheme comprises the step of establishing a multi-cell user pairing and resource allocation model by taking a resource allocation constraint matrix, a user pairing constraint matrix, a cell allocation constraint matrix and a user pair capacity vector as parameters, and solving the model thereby obtaining an optimal user pairing and resource allocation result vector; modulating data information carried by each user according to the result vector and a user modulation matrix; and sending the modulated data information to a signal receiver from a resource block allocated to each user. According to the method, dynamic multi-user pairing and resource allocation is carried out efficiently, and the spectrum efficiency of the communication system is maximized under the condition of satisfying a communication quality demand of the system. The method is used for the mobile phone user in a virtual MIMO system to carry out multi-cell user pairing and resource allocation.

Joint virtual MIMO resource allocation method based on dynamic multi-cell user pairing

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Joint virtual MIMO resource allocation method based on dynamic multi-cell user pairing