A Method for Optimizing the Energy Efficiency of Cognitive Users in Cooperative Cognitive Networks

A technology that recognizes users and energy efficiency, is applied in power management, wireless communication, electrical components, etc., and can solve problems such as difficult to find optimal solutions

Active Publication Date: 2020-05-22
XI AN JIAOTONG UNIV
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  • Abstract
  • Description
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Problems solved by technology

Since the energy efficiency optimization problem in the cooperation scenario is not a convex problem, it is difficult to find the optimal solution in the existing technology

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  • A Method for Optimizing the Energy Efficiency of Cognitive Users in Cooperative Cognitive Networks
  • A Method for Optimizing the Energy Efficiency of Cognitive Users in Cooperative Cognitive Networks
  • A Method for Optimizing the Energy Efficiency of Cognitive Users in Cooperative Cognitive Networks

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Embodiment Construction

[0083] The present invention will be described in detail below in conjunction with the drawings and embodiments, but the protection scope of the present invention is not limited to the embodiments.

[0084] The invention proposes a method for optimizing energy efficiency of cognitive users in a cooperative cognitive network.

[0085] The cooperative cognitive network model considered in the present invention includes a pair of primary user transceivers (PT, PU) and a pair of cognitive user transceivers (ST, SU). The user receiver sends data, and the cognitive user acts as a relay to assist the main user to ensure the communication quality requirements and win the opportunity to send its own data. The main user has a stable energy supply, and the cognitive user transmitter does not have a fixed energy supply, and collects energy completely from the radio frequency signal transmitted by the main user. A time slot is divided into three phases. In the first phase, the main user t...

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Abstract

The invention discloses a method for optimizing the cognitive user energy efficiency in a cooperative cognitive network. The method comprises the following steps that 1, an energy efficiency optimization question model of a cooperative cognitive network model under the constraint condition is built; 2, the energy efficiency optimization question model is converted into minus-form question to be solved through a Dinkelbach algorithm; and 3, the minus-form question is converted into a convex optimization question to be solved by introducing auxiliary variables. According to the method, the optimal transmission power and time allocation are calculated mainly by combining and using fractional programming and introducing the auxiliary variables and a Lagrangian duality theory, and therefore the cognitive user energy efficiency can be highest. Accordingly, not only are problems existing in the prior art solved, but also the method is simple, and the result is accurate.

Description

technical field [0001] The invention belongs to the field of wireless resource optimization in spectrum sharing of cognitive wireless technology, and in particular relates to a method for optimizing energy efficiency of cognitive users in a cooperative cognitive network. Background technique [0002] Spectrum sharing technology in cognitive networks has been extensively studied in the past decade. However, with the increase of network energy consumption and the demand for green communication, energy efficiency has become a research hotspot in mobile communication networks. Since the energy efficiency optimization problem in the cooperation scenario is not a convex problem, it is difficult to find the optimal solution in the existing technology. Contents of the invention [0003] The purpose of the present invention is to provide a method for optimizing the energy efficiency of cognitive users in a cooperative cognitive network. On the one hand, the method guarantees the co...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04W24/02H04W52/14H04W52/26
CPCH04W24/02H04W52/146H04W52/265
Inventor 曲桦赵季红赵永强闫飞宇徐西光
Owner XI AN JIAOTONG UNIV
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