Cognitive heterogeneous network power distribution method based on cooperative spectrum sensing and disturbance constraints

Abstract

The invention belongs to the technical field of a cognitive heterogeneous network and discloses a cognitive heterogeneous network power distribution method based on cooperative spectrum sensing and disturbance constraints. A cognitive heterogeneous network system model cooperates with other nodes to carry out spectrum sensing by use of multiple center secondary user nodes, a CSU cooperates with other PSU nodes to perform spectrum sensing, and an energy detection threshold is introduced, such that while the idle channel detection accuracy is improved, detection energy consumption is saved; by use of a joint operation equation for maximizing a data rate, optimal emission power is distributed to nodes under restricted constraints of disturbance power, such that the disturbance degree is reduced and the network throughput is optimized; and an experimental simulation result indicates that compared to a cooperative spectrum sensing distribution strategy algorithm based on clustering and an energy sensing competitive power distribution algorithm based on QoS constraints, the network throughput is improved by 3.4% and 1.5% respectively, and the average spectrum utilization rate is improved by 9.3% and 7.4% respectively.

Description

technical field [0001] The invention belongs to the technical field of cognitive heterogeneous networks, and in particular relates to a cognitive heterogeneous network power allocation method based on cooperative spectrum sensing and interference constraints. Background technique [0002] The future wireless communication system is an open and heterogeneous wireless network communication system, which can support users to dynamically access the most suitable wireless network by organically integrating factors such as personal preference and network performance. Due to the rapid increase in the number of existing heterogeneous network services and low utilization efficiency, in the case of a large number of users sharing bandwidth, the bandwidth limitation problem is very serious for the high throughput requirements of real-time multimedia communication (such as high-definition video transmission). In order to improve the efficiency of wireless resource utilization and manage...

AI Technical Summary

Problems solved by technology

[0003] To sum up, the problems existing in the existing technology are: the current heterogeneous wireless network has low accuracy of idle channel detection and low spectrum utilization efficiency; while limiting the transmission power of the secondary user and reducing the degree of interference to the primary user How to improve the throughput of heterogeneous network

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