Optimization method of cognitive radio network with radio frequency energy harvesting capability

Abstract

The invention belongs to the technical field of cognitive radio spectrum sensing, and specifically relates to a multi-objective optimization method of a cognitive radio network with a radio frequency energy harvesting capability. The method comprises following steps of generating initial population; calculating fitness values; carrying out non-domination ranking to individuals of the population; calculating congestion distances; competitively selecting better individuals; simulating binary intersection; polynomial variation; correcting individuals; regrouping and selecting an optimum group of individuals to enter a next generation; and ending. According to the method, two objectives of system effective throughput and energy profit of the cognitive radio network with multiple nodes and multiple channels can be considered comprehensively. Compared with a random sensing method, the method has the advantage of obtaining higher system effective throughput and energy profit. According to the optimum leading edge solved by the multi-objective optimization algorithm, sensing strategies can be dynamically selected. The system effective throughput is ensured to satisfy network demands, and moreover, the radio frequency energy is collected maximumly.

Description

technical field [0001] The invention belongs to the technical field of cognitive radio spectrum sensing, and in particular relates to a multi-objective optimization method for a cognitive radio network with radio frequency energy collection capability based on a multi-objective optimization algorithm. Background technique [0002] With the rapid development of wireless communication technology, the problem of shortage of spectrum resources is becoming more and more serious. The traditional fixed spectrum allocation strategy can no longer meet people's increasing demand for spectrum. The emergence of cognitive radio technology has changed the fixed spectrum allocation method in the past, enabling unlicensed users to use the spectrum without affecting the work of licensed users, providing an effective solution to the problem of spectrum shortage, and is the future communication inevitable trend of development. [0003] In traditional energy-constrained wireless communication...

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Problems solved by technology

S.Park, H.Kim, and D.Hong, "CognitiveRadioNetworkswithEnergyHarvesting," IEEETrans.WirelessCommun., vol.12, no.3, Mar.2013, pp.1386-97. This paper proposes a method that satisfies energy constraints and collision constraints Under the condition of changing the detection threshold and optimizing the spectrum access probability to maximize the expected throughput, but the problem of optimal energy gain is not considered, and the network model is only for the case of a single sensing user and a single sensing channel. For multi-sensing User, multi-channel cognitive networks are not applicable

W.Chungetal., "SpectrumSensingOptimizationforEnergy-HarvestingCognitiveRadioSystems," IEEETrans.WirelessCommun., vol.13, no.5, May2014, pp.2601-13. This paper proposes an energy-constrained condition, by setting the optimal perception The duration and detection threshold are the method to maximize the throughput of the perception network, but only consider the single goal of throughput, so that when the system throughput is optimal, the energy gain is not optimal, and the network model is also only applicable to The case of a single perceived user and a single channel

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