Cognitive cooperative network joint resource allocation method based on utility optimization

Abstract

The invention discloses a cognitive cooperative network joint resource allocation method based on utility optimization. According to the method, master and slave users of a cognitive radio network share spectrum resources and perform information transmission, the master users occupy corresponding authorized frequency bands to communicate, and the slave users communicate through a direct transmission or cooperative transmission mode under the condition of without interfering with communication of the master users. A network resource scheduler receives service requests of the slave users, models a slave user joint utility function, and realizes optimized allocation of sub channels and transmission power of the slave users and optimized selection of relay modes in cooperation based on the rule of utility maximization. According to the invention, cognitive cooperative network spectrum resource sharing can be effectively realized, and the overall network performance can be improved.

Description

technical field [0001] The present invention relates to the field of wireless communication technology, in particular to the resource allocation technology of cognitive cooperative network. Background technique [0002] With the rapid development of wireless communication technology and the rapid popularization of wireless devices, wireless networks play an increasingly important role in national economic development and have penetrated into various fields of society. The rapid development of wireless technology makes the wireless network present the characteristics of high speed, broadband, and heterogeneity, and also brings a series of severe challenges. The statically allocated certified frequency bands can no longer meet the communication needs of users. But on the other hand, some of the allocated certified frequency bands are not fully used in some time or areas, resulting in low spectrum utilization. In order to effectively improve the utilization rate of spectrum r...

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Problems solved by technology

[0007] Existing research mainly focuses on maximizing system throughput, without considering user energy consumption, which may lead to low user energy efficiency. For a large number of users, especially those using energy-sensitive terminals, the service experience will be seriously affected; in addition, the current Some studies consider relay selection, sub-channel allocation or power allocation in cognitive networks in isolation, without comprehensive consideration of joint optimization of multiple factors, and cannot achieve overall network performance optimization

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