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Power distribution optimization method for cognitive relay network energy efficiency maximization

A cognitive relay, energy efficiency technology, applied in power management, electrical components, wireless communication, etc., can solve problems such as main user interference

Active Publication Date: 2019-02-19
NANJING UNIV OF INFORMATION SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the past, for the convenience of research, only the energy efficiency research under the complete spectrum sensing was considered, but the interference of the error of the spectrum sensing to the primary user cannot be ignored, so it is necessary to establish an incomplete spectrum sensing model

Method used

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  • Power distribution optimization method for cognitive relay network energy efficiency maximization
  • Power distribution optimization method for cognitive relay network energy efficiency maximization
  • Power distribution optimization method for cognitive relay network energy efficiency maximization

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Embodiment Construction

[0115]Below in conjunction with accompanying drawing, technical scheme of the present invention is described in further detail:

[0116] The invention discloses a power allocation optimization method for maximizing the energy efficiency of a cognitive relay network, which includes the following specific steps:

[0117] Step 1), such as figure 1 , figure 2 As shown, the total bandwidth is divided into N (n=1,2...N) orthogonal subcarriers, and the bandwidth of each subcarrier is B Hz; the cognitive relay system is divided into two time slots TS1 and TS2, TS1 completes the signal transmission from the cognitive source to the cognitive relay, and TS2 completes the signal transmission from the cognitive relay to the cognitive terminal;

[0118] Order P 1,n and P 2,n are the transmission power sent by the nth subcarrier in TS1 and TS2, H 1,n and H 2,n are the channel gains of TS1 and TS2 respectively, and the subcarrier noise variances of TS1 and TS2 are both Additive white...

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Abstract

The invention discloses a power distribution optimization method for cognitive relay network energy efficiency maximization. The power distribution optimization method comprises the following steps: firstly, providing a cognitive relay system transmission model, and dividing a signal transmission process into two time slots to acquire a total system transmission rate; secondly, analyzing a spectrum sensing error to acquire disturbance of a cognitive relay system to a primary user; thirdly, in consideration of circuit operation consumption of a cognitive source and a cognitive relay, providingexpressions and constraint conditions of optimization problems; and finally, transforming a mixed integer nonlinear programming problem into a convex optimization problem, and solving an optimal allocation scheme by using fractional programming and KKT (Karush-Kuhn-Tucker) conditions. The invention further provides that a suboptimal algorithm which firstly realizes the optimality under TS1 and then realizes the optimality of TS2, so that the whole process is optimal and the computational complexity is reduced.

Description

technical field [0001] The present invention relates to the research field of energy efficiency and optimization of a cognitive radio network, in particular to a power allocation optimization method for maximizing the energy efficiency of a cognitive relay network. Background technique [0002] The ever-increasing demand for wireless networks and the static allocation of spectrum resources have led to increasingly scarce wireless spectrum resources. Cognitive Radio (CR) can provide flexible and efficient wireless spectrum for distributed terminals or radio cells by providing wireless perception, adaptive and dynamic spectrum sharing capabilities. Simon Haykin proposed that cognitive radio is an intelligent wireless communication system. It can perceive the surrounding environment and ensure the communication needs of primary users (Primary Users, PU), that is, to ensure that the primary users transmit nodes (Primary transmitters, Pt) to receive nodes (Primary receivers) , P...

Claims

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Application Information

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IPC IPC(8): H04W24/02H04W40/22H04W52/18H04W72/04
CPCH04W24/02H04W40/22H04W52/18H04W72/0473
Inventor 周杰陈钱朱蕾
Owner NANJING UNIV OF INFORMATION SCI & TECH
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