Resource optimization method for maximizing total throughput of network function virtualization

Abstract

The invention discloses a resource optimization method for maximizing the total throughput of network function virtualization. A network function virtualization architecture comprises a logic layer, avirtual layer, a physical layer and a management arrangement system, the logic layer comprises logic nodes and controllers, and the physical layer comprises a physical node; the logic nodes and controllers send information signals to a base station via an orthogonal channel through the corresponding physical node; the base station calculates the number of effective load bits, the number of used channels, transmitting power, a receiving signal to noise ratio, throughput and total transmitting energy of each logic node and each controller; and when the third number, the number of effective loadbits, the receiving signal to noise ratio, the first total transmitting energy and the second total transmitting energy meet corresponding requirements, and the logic nodes and the controllers meet the ultra-reliability requirements, the management arrangement system adaptively allocates the transmitting power and the number of used channels based on a hybrid optimization algorithm to maximize the total throughput.

Description

technical field [0001] The present disclosure relates to the technical field of network virtualization, in particular to a resource optimization method for maximizing the total throughput of network function virtualization. Background technique [0002] As end-user demands for services with more diverse high data rates continue to increase, Telecommunications service providers (TSPs) must accordingly and continuously purchase, store and operate new physical equipment. This not only requires the rapidly changing skills of the technicians who operate and manage the equipment, but also requires dense deployment of network equipment, which results in high operating expenditure (Operation Expenditure, OPEX) and capital expenditure (Capital Expenditure, CAPEX). Network Function Virtualization (Network Function Virtualization, NFV) has been proposed as a solution to these challenges, it uses virtualization technology to provide new ways to design, deploy and manage network services...

AI Technical Summary

Problems solved by technology

In addition, since the optimization problem of maximizing total throughput in uplink (UL) transport protocols deployed by NFV is highly non-convex, it is difficult to obtain a global optimal solution, and due to excessive constraints in the optimization problem It will lead to low convergence efficiency, and the traditional heuristic algorithm cannot directly solve the resource optimization problem of maximizing the total throughput

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