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A flow control method combining optimal admission control and culling control

A flow control and admission control technology, applied in the direction of network flow/resource management, wireless communication, electrical components, etc., can solve the problems of large handover delay, lower system throughput, and many system throughput degradations, so as to ensure dropped calls rate, guaranteeing the effect of average switching delay

Inactive Publication Date: 2016-09-28
HUAZHONG UNIV OF SCI & TECH
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Problems solved by technology

First of all, even if the best reserved channel is given, the dropout rate of cognitive users may not be exactly at the given threshold (it may be much lower than the given threshold), which will make the system throughput secondly, if the users waiting in the buffer zone cannot get available channels for a long time, the switching delay at this time will be very large, and the QoS requirements of users cannot be met; finally, if all users are When the probability p is connected to the system, when the system load is very light, the control at this time is unnecessary, which also reduces the throughput of the system

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  • A flow control method combining optimal admission control and culling control
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  • A flow control method combining optimal admission control and culling control

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Embodiment Construction

[0020] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and exemplary embodiments. It should be understood that the exemplary embodiments described here are only used to explain the present invention, and are not intended to limit the applicable scope of the present invention.

[0021] Consider such a centralized cognitive radio network: Authorized users have absolute priority to occupy authorized channels over cognitive users, and users in the buffer zone have higher priority than newly arrived cognitive users, that is, if and only if the buffer When the area is empty, new cognitive users may enter the system to receive services.

[0022] In the present invention, the base station will control the cognitive users accordingly according to the real-time status of the system, so as to realize dynamic admission control and e...

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Abstract

The invention relates to service quality assurance and performance optimization in cognitive radio networks, and proposes a QoS guarantee mechanism that combines optimal admission control and culling control, including system initialization, calculation of optimal admission probability and culling probability, and cognitive User performance metrics. The QoS guarantee mechanism based on the dynamic admission probability and elimination probability of the present invention can strictly guarantee the QoS requirements of cognitive users while maximizing the system throughput rate; the method can be realized in a centralized network.

Description

technical field [0001] The invention relates to a flow control method in a cognitive radio network, in particular to a strategy for joint optimal admission and elimination control. technical background [0002] Cognitive radio technology can enable cognitive users to perceive the spectrum holes that are not used by authorized users in the cognitive network, and then opportunistically use these spectrum holes to achieve the purpose of improving spectrum utilization. However, due to the uncertainty of authorized users, the quality of service (QoS) of cognitive users is often not guaranteed. Therefore, ensuring the QoS requirements of cognitive users in cognitive networks has become the focus of research. [0003] Call admission control is an important method to guarantee QoS requirements of cognitive users. It is based on the load situation of the system at that time, and at the same time, the base station decides whether to accept the new cognitive user or not by considering...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04W28/02H04W28/10
Inventor 刘干董有臣饶海洋周凡超何国宝崔飞
Owner HUAZHONG UNIV OF SCI & TECH
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