Cognitive swipt optimal node selection and beamforming joint design method

Abstract

The invention discloses a joint design method of cognitive SWIPT optimal node selection and beamforming. The present invention takes the green wireless cognitive network as the research background, introduces cognitive nodes with energy harvesting capabilities, and provides the main network and secondary network in the cognitive energy carrying network under the condition that there are multiple energy harvesting cognitive source nodes. Scenarios and mathematical models of cooperative secure communication strategies. The secure communication performance of the primary network and the achievable communication rate of the secondary network in the communication system are analyzed. The effects of the sending power of the sending node of the main network, the sending power of the best cognitive node, and the interference power of the destination node of the main network on the secure communication rate of the main network are studied. The method of the invention satisfies the safety communication performance requirements of the primary network in the cognitive energy-carrying network under the condition that there are multiple cognitive source nodes for energy collection, and also ensures the communication quality requirements of the secondary network.

Description

technical field [0001] The invention belongs to the technical field of information and communication engineering, and proposes a method for joint design of optimal cognitive source node selection and beamforming vectors in the case of multiple energy-collecting cognitive source nodes in cognitive wireless energy-carrying communication, and The specific process is given. This method involves the selection strategy of the optimal cognitive source node in the cognitive energy-carrying communication network and the joint design of the beamforming vector of the cognitive node, which is mainly implemented in the cognitive energy-carrying communication network with multiple energy-harvesting cognitive source nodes Communication strategies for maximizing secure channel capacity. Background technique [0002] With the explosive growth of wireless service data volume, wireless communication systems are facing dual pressures of spectrum resource shortage and sharp increase in energy c...

AI Technical Summary

Problems solved by technology

[0003] Another problem brought about by the rapid expansion of wireless services is the large consumption of energy and the difficulty of power supply for wireless devices.

In particular, a large number of randomly distributed wireless communication devices (such as sensors, smart terminals, etc.) are powered by batteries with limited capacity, which greatly increases the maintenance cost of the wireless communication network and limits its life cycle.

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