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A multi-channel allocation optimization method based on physical layer interference information

A technology of interference information and allocation optimization, applied in wireless communication, electrical components, network topology, etc., can solve problems such as ineffective use of multi-channel resources, and achieve the effect of ensuring convergence and fairness

Active Publication Date: 2011-12-28
GUANGZHOU HKUST FOK YING TUNG RES INST
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AI Technical Summary

Problems solved by technology

Neither of the above two methods can effectively utilize multi-channel resources for transmission

Method used

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  • A multi-channel allocation optimization method based on physical layer interference information
  • A multi-channel allocation optimization method based on physical layer interference information
  • A multi-channel allocation optimization method based on physical layer interference information

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Embodiment Construction

[0041] See figure 1 , Each node stores a channel access strategy. If the node has data to send in the time slot t, the channel access judgment is made according to the coordinated signal fi(Ct-1) monitored at the time t-1. The channel access strategy points out that if fi(Ct-1)=0, the node will postpone the transmission, and randomly monitor a subchannel Sj, while using the second antenna to monitor the coordination signal Ct at this time. If the sub-channels Sj are idle at this moment, the node changes the access strategy to fi(Ct-1)=Sj. If fi(Ct-1)=St, then the node accesses the subchannel St in the time slot t, uses St for data transmission, and uses the second antenna to monitor the coordination signal Ct at this time.

[0042] See figure 1 , When the transmission is completed, when the node finishes sending data, it switches to monitoring mode and waits for ACK. If the node receives the ACK in the time slot t, the data transmission is successful, and the node maintains the...

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Abstract

The invention relates to a method for optimizing multi-channel distribution in a distributed wireless local area network based on a self-adaptive learning model. In the invention, channel distribution information is provided for a medium access control sub-layer by using an interference adding module and an interference detection module of a physical layer based on an orthogonal frequency division multiplexing technology, so that a distributed node is helped to adaptively select a non-conflict channel under the non-synergistic condition for transmitting. The interference adding module is used for coding channel distribution information into an interference signal by using a communication interference technology for transmitting together with data information. An original data receiving node is used for eliminating the interference signal through an interference counteracting module to obtain original data. A channel access strategy for marking a control signal and a corresponding access channel is stored in each node. The node is used for adjusting and learning the channel access strategy by using a channel distribution module according to the detected control signal, so that a multi-channel time division multiplexing effect is achieved finally, and the consumption of network resources by the transmission of synergic information is avoided.

Description

Technical field [0001] The invention relates to a multi-channel allocation optimization method based on physical layer interference information, that is, a method for optimizing the multi-channel resource allocation of a distributed wireless local area network by using an adaptive learning model. This method can realize non-cooperative multi-channel adaptive allocation function. The invention belongs to the field of wireless communication technology. Background technique [0002] As a strategy analysis method, game theory has been widely used in distributed wireless local area networks in recent years. Such as the uplink power control in Code Division Multiple Access (CDMA) networks and the allocation of resources (power, bandwidth) in cooperative communication networks. In game theory, it is usually assumed that every user is a rational decision maker, that is, every user chooses decision-making behavior with the goal of maximizing its own utility. In this case, if each user ...

Claims

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Application Information

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IPC IPC(8): H04W72/04H04W84/12
Inventor 王璐伍楷舜韩隶倪明选
Owner GUANGZHOU HKUST FOK YING TUNG RES INST
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