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Channel distribution and user correlation strategy based on AMAB model

A channel allocation and strategy technology, applied in wireless communication, electrical components, network topology, etc., can solve problems such as time-consuming, unfavorable implementation, and complex association process

Active Publication Date: 2015-07-15
SHANGHAI JIAO TONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0022] This invention aims at the problem of access-type load balancing initiated by STAs. After the AC obtains the association scheme, it needs to notify the STAs of the association results, and requires the participation of the STAs to complete the optimal association operation. The association process is complicated and time-consuming, and requires the STAs The protocol stack is modified, which is not conducive to the implementation

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  • Channel distribution and user correlation strategy based on AMAB model
  • Channel distribution and user correlation strategy based on AMAB model
  • Channel distribution and user correlation strategy based on AMAB model

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Embodiment 1

[0087] A channel allocation and user association strategy based on the AMAB model. The steps are: when APs and STAs are distributed in a highly dense network, and a new AP accesses the network, the following channel allocation and user association strategy is adopted.

[0088] Step 1: For any AP in the current scene, the number of channels that can be allocated is M. Each AP saves a probability distribution sequence for channel selection, and the channel probability sequence selected by the AP in the t-th round of decision-making is recorded as:

[0089] P t =(p 1,t ,p 2,t ,...,p M,t )

[0090] (1) where p j,t is the probability of selecting a channel in the t-th round of decision-making;

[0091] (2) The initial values ​​of the AP's channel selection probability sequence are all equally probable distributions.

[0092] Step 2: each AP according to the probability sequence P of the current round t t =(p 1,t ,p 2,t ,...,p M,t ) to select a channel, and count informat...

Embodiment 2

[0108] When APs and STAs are distributed in a high-density network, and a new STA accesses the network, the following channel allocation and user association strategies are adopted.

[0109] Step 1: For any STA in the current scene, the number of APs that can be associated is M. The STAs respectively store a probability distribution sequence associated with the AP, and the probability sequence selected by the STA in the t-th round of decision-making is recorded as:

[0110] P t =(p 1,t ,p 2,t ,...,p M,t )

[0111] (1) where p j,t is the probability of choosing AP in the t-th round of decision-making;

[0112] (2) The initial value of the probability sequence of each STA is an equal probability distribution.

[0113] Step 2: each STA a according to the probability sequence P of the current round t t =(p 1,t ,p 2,t ,...,p M,t ) to select the AP to associate with, and count the respective average data arrival rate, delay, and throughput information, and then obtain the...

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Abstract

The invention discloses a channel distribution and user correlation strategy based on an AMAB model. The strategy includes the steps that decision probability sequences are distributed at equal probability through APs and STAs; each AP selects a channel according to the corresponding probability sequence, information such as the average data arrival rate, the time relay and the throughput capacity of the STAs is counted, and the gain of the currently-selected channel is calculated; the APs calculate accumulated price parameters; the APs calculate new probability sequences according to an index average weighting strategy; each STA selects the corresponding AP for correlation according to the corresponding probability sequence, information such as the average data arrival rate, the time relay and the throughput capacity is counted, and the gain of the currently-correlated AP is calculated; the STAs calculate an accumulated price function; the STAs calculate new probability sequences according to an index weighting average strategy and conduct calculation till the strategy convergence is optimal. By the adoption of the channel distribution and user correlation strategy based on the AMAB model, the strategy can converge at nash equilibrium, the optimal solution is acquired, and the problem of large network time delay caused by same-channel interference in an intensive scene can be solved effectively.

Description

technical field [0001] The present invention relates to the field of wireless local area network, in particular, to a channel allocation and user association strategy based on AMAB model. Background technique [0002] In order to adapt to the increase in demand for data services caused by the rapid development of mobile devices, WiFi networks are installed in public places such as shopping malls, restaurants and hotels. In the above sports and entertainment venues, the application of WiFi networks is also considered to improve customer experience and expand economic benefits. But unlike common office networks, many gymnasiums have tens of thousands of seats, and the user density is hundreds of times that of ordinary office networks. For example, in a stadium with 50,000 seats, approximately 400 APs are required to provide sufficient network capacity and cover the entire venue. Therefore, in these places, the WiFi network presents the characteristics of high density, large ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W72/04H04W72/08H04W84/12H04W72/54
Inventor 化存卿王凌志
Owner SHANGHAI JIAO TONG UNIV
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