A cognitive SWIPT optimal node selection and beam forming combined design method

Abstract

The invention discloses a cognitive SWIPT optimal node selection and beam forming combined design method. According to the method, a green wireless cognitive network is taken as a research background,cognitive nodes with energy collection capability are introduced, and a scene and a mathematical model of a cooperative safety communication strategy between a primary network and a secondary networkin a cognitive energy-carrying network under the condition that a plurality of energy collection cognitive source nodes exist are given. The secure communication performance of the primary network and the reachable communication rate of the secondary network in the communication system are analyzed. The influence of the sending power of the main network sending node, the optimal cognitive node sending power and the interference power of the main network destination node on the main network safety communication rate is studied. The method disclosed by the invention meets the requirement of cognitive the safety communication performance of the main network in the energy-carrying network under the condition that a plurality of energy collection cognitive source nodes exist, and meanwhile, the communication quality requirement of the secondary network is also ensured.

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.

Images