A Congestion Control Method Using Spectrum Allocation in Cognitive Networks

Abstract

The invention discloses a congestion control method adopting spectrum allocation in a cognitive network. In the cognitive network, cognitive users communicate by occupying the free spectrums of authorized users; firstly, cognitive nodes detect the own congestion conditions according to an average data transmission rate and divide congestion degrees; secondly, the cognitive nodes which detect congestion send congestion notification information to a management node, and the management node receives the congestion notification information and then allocates the spectrums according to the congestion degrees of the cognitive nodes which apply for the spectrums; finally, the cognitive nodes obtain the spectrum allocation and then set congestion release periods according to the current cache length; the cognitive nodes actively carry out congestion detection again after a congestion release algorithm is concluded, thus thoroughly releasing congestion; the cognitive nodes do not process in the case of no congestion. According to the congestion control method disclosed by the invention, the fairness of using the spectrums by the cognitive nodes is improved, collisions can be effectively reduced, a packet lose rate can be effectively reduced, and a throughput capacity can be effectively improved.

Description

Technical field [0001] The invention belongs to the field of communications, and more specifically relates to a congestion control method in a cognitive network. Background technique [0002] With the rapid development of wireless communication technology, the demand for wireless spectrum resources continues to increase, making wireless spectrum resources very scarce. Under the current static spectrum allocation policy, certain specific frequency bands are already very crowded, and it is almost difficult to provide new spectrum resources. At the same time, the efficiency of many authorized spectrums is low, most of the spectrum utilization is less than 5%, and there are a lot of spectrum holes. Therefore, improving the utilization efficiency of licensed spectrum is an urgent problem in the current wireless communication field. The emergence of wireless cognitive networks effectively solves the above problems. Cognitive users in the wireless cognitive network perceive the use o...

AI Technical Summary

Problems solved by technology

Under the current static spectrum allocation policy, some specific frequency bands are already very crowded, and it is almost difficult to provide new spectrum resources

At the same time, the utilization efficiency of many licensed spectrums is low, and the utilization rate of most spectrums is less than 5%, and there are a large number of spectrum holes

This type of algorithm is dominated by maximizing the target performance in the allocation process, and may preferentially allocate spectrum resources to some highly competitive cognitive users, resulting in congestion of other less competitive cognitive users due to the occupation of the available spectrum ; Other licensed spectrum resources continue to be vacant due to no cognitive user access, resulting in a "starved to death" phenomenon

[0004] In summary, the existing methods for solving congestion in cognitive networks are mainly based on spectrum allocation. Cognitive users may interfere in the process of accessing licensed spectrum. Some cognitive users cannot compete for spectrum for a long time. Congestion may occur, but the existing spectrum allocation algorithm does not consider the congestion situation of cognitive users themselves in the process of spectrum allocation

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