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Cooperation rate distribution method of interference cognition

A technology of allocation method and cooperation rate, applied in the field of communication, can solve problems such as terminal fairness cannot be guaranteed, interference, etc.

Inactive Publication Date: 2015-01-07
XIDIAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] The purpose of the present invention is to solve the problem that terminal fairness cannot be guaranteed in the current network by proposing an interference-aware cooperative rate control method for the above-mentioned deficiencies in the prior art

Method used

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  • Cooperation rate distribution method of interference cognition
  • Cooperation rate distribution method of interference cognition
  • Cooperation rate distribution method of interference cognition

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Embodiment Construction

[0039] refer to figure 1 , the scenario used in the present invention consists of a wireless access network and several terminals distributed around the wireless access network, and all terminals share the same channel. The radio access network shall include a network reconfiguration management module RNRM, a network measurement collection module RMC and a network reconfiguration control module RRC, and the terminal shall include a terminal reconfiguration management module TRM. Each terminal exchanges information with the network reconfiguration management module RNRM through the terminal reconfiguration management module TRM.

[0040] refer to figure 2 , the specific implementation steps of the present invention are as follows:

[0041] Step 1, N terminals in the system report non-cooperative rate request information and virtual interference information to the network reconfiguration management module RNRM through their respective terminal reconfiguration management modules...

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Abstract

The invention discloses a cooperation rate distribution method of interference cognition, which is used for mainly solving the problem that the prior art has poorer fairness for cognitive network rate control users. The cooperation rate distribution method comprises the following steps of: (1) collecting the non-cooperation rate requesting information and the interference information of N terminals by using a network reconstitution management module; (2) initializing the information required for rate distribution; (3) selecting a terminal set in a terminal rate distribution list by using the network reconstitution management module, if the rate distribution list is empty, stopping rate distribution, or otherwise performing rate distribution on all terminals in the terminal set; (4) calculating the utility value and the global utility value of the terminal in the terminal set at the moment t by using the network reconstitution management module and forecasting the interference value of the terminal at the moment (t+1) to obtain the transmission rate of the terminal at the moment (t+1); and (5) calculating the difference absolute values of the terminal rates at the moment t and the moment (t+1), and when the difference absolute values are less than a rate distribution stopped threshold, deleting the terminal in the rate distribution list, and returning the step (3). The cooperation rate distribution method can be used for effectively improving the fairness of terminal transmission rate and can be used for wireless cognitive networks.

Description

technical field [0001] The invention belongs to the communication field, and in particular relates to a rate control method, which can be used in a cognitive wireless network. Background technique [0002] Cognitive networks were first proposed by Motorola and Virginia-Tech companies. Cognitive network is a network with cognitive ability, which can perceive the current status of the network in a complex and changeable network environment, and plan, make decisions and make autonomous decisions based on the current status while ensuring end-to-end performance. adapted adjustments. At the same time, the cognitive network is able to learn network knowledge from the continuous adaptive process and utilize this knowledge in future decision-making. [0003] To sum up, the cognitive network can perceive the current network conditions and dynamically plan and configure according to the system performance goals, and take appropriate actions to meet the performance goals through self...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L12/801H04W28/22
Inventor 杨春刚盛敏董延杰李建东李红艳刘勤张琰
Owner XIDIAN UNIV