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A Subcarrier Allocation Method in Cognitive OFDM Networks

An allocation method and subcarrier technology, applied in network planning, network traffic/resource management, electrical components, etc., to achieve the effects of reducing search space, improving search efficiency, and reducing length

Active Publication Date: 2017-02-15
XIDIAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The present invention aims at the above existing method to solve the problem of resource allocation in cognitive wireless networks, and proposes a method for allocating subcarriers in cognitive OFDM networks, so as to achieve the purpose of improving spectrum utilization

Method used

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  • A Subcarrier Allocation Method in Cognitive OFDM Networks
  • A Subcarrier Allocation Method in Cognitive OFDM Networks
  • A Subcarrier Allocation Method in Cognitive OFDM Networks

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0058] In order to improve spectrum utilization and solve the defects of existing methods for resource allocation in cognitive wireless networks, this embodiment proposes a method for allocating subcarriers in cognitive OFDM networks.

[0059] This embodiment takes the existing genetic algorithm flow as the basic framework, and redesigns the encoding method, mutation operation and population update operation according to the characteristics of subcarrier allocation in the cognitive OFDM network. The basic process includes: initial value setting, population coding, population initialization, population crossover, population variation, population fitness evaluation and population update, among which population crossover, population variation, population fitness evaluation and population update operations are iteratively performed alternately until the Obtain an optimal solution or iterate over a specified maximum number of times. The specific steps of the subcarrier allocation m...

Embodiment 2

[0094] In order to further illustrate the present invention, this embodiment elaborates the present invention on the basis of Embodiment 1.

[0095] Step 1: Construct the optimization problem model

[0096] Generally, when OFDM modulation technology is used in cognitive wireless networks, the allocation of subcarriers and power in the network can be modeled as an optimization problem with an objective function and multiple constraints. Considering that in general, subcarrier allocation needs to satisfy the assumption that the power allocated by secondary users on each subcarrier is equal, and the total transmission power of secondary users is less than the maximum power that the network equipment can provide. In addition, considering the transmission power of secondary users For the impact on the primary user, the subcarrier allocation algorithm should meet the following principles: (1) The interference to the primary user caused by the power transmitted by the secondary user ...

Embodiment 3

[0154] The effects of the present invention will be further described below in combination with simulation experiments.

[0155] 1. The comparison algorithm used in the experiment:

[0156] Compared with Algorithm 1, the penalty function method is used to transform the constrained problem into an unconstrained problem, and the immune clone selection algorithm is used to allocate subcarriers and power.

[0157] Compared with Algorithm 2, under the limitation of the total bandwidth and total power of the system, an effective and flexible spectrum sharing control algorithm using the least subcarriers is proposed, and then the power is allocated using the traditional water filling method.

[0158] Compared with Algorithm 3, a suboptimal but effective scheme design is proposed, which maximizes the total data transmission rate of users under the constraints of total user power and proportional fairness, and realizes adaptive and flexible data transmission rate among discrete users ...

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Abstract

The invention discloses a distribution method for sub carriers in a cognitive OFDM network, and belongs to the technical field of cognitive radio resource management. The method comprises the steps of (1) coding scheme determining, (2) population initialization, (3) population intersection, (4) population variation, (5) population fitness evaluation, (6) population updating, and (7) iteration terminal condition judgment. According to the distribution method for the sub carriers in the cognitive OFDM network, the basic framework of a genetic algorithm is adopted, the coding scheme, mutation operation and population updating operation are redesigned aiming at the characteristics of distribution of the sub carriers in the cognitive OFDM network, the defects of resource allocation of cognitive radio networks in the prior art are overcome, the effectiveness for processing the resource allocation of the cognitive OFDM network is improved, and the spectrum efficiency is improved.

Description

technical field [0001] The invention belongs to the technical field of cognitive radio resource management, and relates to a method for allocating subcarriers in a cognitive OFDM network, in particular to a method for optimally allocating subcarriers in a cognitive OFDM network based on a genetic algorithm. Background technique [0002] The existing spectrum management system adopts a fixed spectrum authorization mechanism, that is, the spectrum is managed by a specific spectrum management organization, which authorizes the right to use a specific spectrum to specific users (authorized users) within a relatively long period of time. During the authorization period, no matter whether the spectrum is used by authorized users or not, unlicensed users cannot use the spectrum. Under this spectrum management mechanism, when authorized users do not use the licensed spectrum, the spectrum segment will not be effectively used, which greatly limits the utilization rate of the spectrum...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L27/26H04W52/04H04W28/16H04W16/14
Inventor 尚荣华焦李成李静王佳熊涛刘红英马晶晶马文萍
Owner XIDIAN UNIV
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