Multi-user spectrum access method based on multi-arm gambling machine model under fairness principle

Abstract

The invention discloses a multi-user spectrum access method based on a multi-arm gambling machine model under a fairness principle. The method comprises the following steps: firstly, for a multi-usercognitive wireless network, establishing a channel perception and opportunity access model based on a multi-arm gambling machine model; secondly, initializing secondary user perception channel parameters; then, each secondary user performs channel perception, and channel statistical information is updated on line; and finally, the secondary user performs channel access according to the channel sensing condition and judges whether conflicts exist or not, and after the conflicts exist, the sensing process of the next time slot is restarted. The method has the advantages of fairness, high efficiency and excellent performance, and can meet wide and actual scene requirements.

Description

technical field [0001] The invention relates to the technical field of wireless networks, in particular to a multi-user spectrum access method based on a multi-armed gambling machine model under the principle of fairness. Background technique [0002] With the rapid growth of the demand for wireless communication services, the existing available spectrum resources are becoming increasingly scarce, and the contradiction of spectrum supply has become increasingly prominent. On the other hand, the effective utilization rate of licensed frequency bands is very low, and the problem of intermittent spectrum idleness is serious. Cognitive wireless opportunistic access, through dynamic use of spectrum gaps to fill the business demand gap, is considered to be one of the main means to effectively alleviate the problem of spectrum tension. Through cognitive radio technology, the secondary user can sense the licensed spectrum in real time to identify the idle spectrum, and without affe...

AI Technical Summary

Problems solved by technology

[0007] 1) Insufficient consideration of actual scenarios: most of the existing sensing and access methods are proposed based on known channel statistical information, and cannot be applied to situations where channel statistical information is unknown;

[0008] 2) The fairness of user spectrum access is not considered: the existing methods are all proposed with the goal of maximizing multi-user throughput, without considering the issue of fairness among secondary users;

[0009] 3) Insufficient consideration of hardware constraints: Most of the existing work is based on the same number of secondary user perception and access channels. The user needs to select some channels to access among the perceived multiple channels

In addition, the existing work is based on the perfect perception of the channel state by the secondary user. In practice, due to noise and system errors, the perception of the channel state by the secondary user has certain errors.

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