Energy efficiency improvement method for cognitive radio network
A cognitive radio and network technology, applied in the field of energy efficiency improvement of cognitive radio networks, can solve problems affecting energy efficiency improvement of cognitive radio networks
Active Publication Date: 2015-11-11
HARBIN ENG UNIV
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[0007] The purpose of the present invention is to provide a method for improving energy efficiency of cognitive radio networks that solves the problem of energy efficiency improvement due to limitations in existing methods for finding the optimal sensing time
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[0099] The improved brainstorming optimization method improves energy transmission efficiency, and the specific implementation methods are as follows:
[0100] The parameters of step 1 are set as follows: the authorized channel bandwidth is B=500kHz, and the minimum detection probability of the channel is The channel usage rule parameter μ of the primary user -1 = 0.2ms, channel idle parameter λ -1 = 1 ms. The period for the secondary user to perform spectrum sensing on the channel is T=0.1ms, and the sampling frequency is f s = 1 MHz. The spectrum sensing power and data transmission power of the secondary user are P s = 30mW and P t =120mW, SNR capacity δ=1.25. The maximum number of iterations T max =500.
[0101] Step 2 randomly generates N perception time individuals, and the individual range is [0-0.1] ms.
[0102] Step 3: Set the initial value of the number of iterations t=0, and its maximum number of iterations T max ;
[0103] Step 4: According to the K-mean...
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The invention belongs to the field of spectrum sensing of a cognitive radio network, and specifically relates to an energy efficiency improvement method for the cognitive radio network, wherein the method is used for improving the energy transmission efficiency of a secondary user through employing an improved brainstorming optimization method in a process of spectrum sensing based on reverse learning and chaos searching. The method comprises the steps: setting the energy transmission efficiency; randomly initializing N sensing time sets, and obtaining the fitness of N individuals according to an energy transmission efficiency model; setting an initial value of iterations t as zero, and setting the maximum number of iterations as Tmax; enabling N individuals in a feasible sensing time set to form M classes; and carrying out the estimation of N individuals according to an energy efficiency function. On the basis of an individual updating mode of a brainstorming optimization method, two individual updating modes of reverse learning and chaos searching are added, thereby improving the capability of global searching, preventing the method from being caught in local optimum, quickly and effectively finding the optimal sensing time, and improving the energy transmission efficiency of the secondary user.
Description
technical field [0001] The invention belongs to the field of spectrum sensing of cognitive radio networks, and in particular relates to the energy efficiency of a cognitive radio network that uses an improved brainstorm optimization method based on reverse learning and chaotic search in the process of spectrum sensing to improve the energy transmission efficiency of secondary users Lift method. Background technique [0002] At present, in the field of wireless applications, spectrum resources are scarce, but the average utilization rate of the spectrum is very low. As a technology to improve the utilization of spectrum resources, cognitive radio network has become a research hotspot in the field of communication in recent years. In practice, secondary users of cognitive radio networks are usually powered by batteries to drive nodes. However, battery power is often difficult to replenish in time, so energy limitation is a key issue worth studying in cognitive radio networks....
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IPC IPC(8): H04W24/02
CPCH04W24/02Y02D30/70
Inventor 刁鸣王小兰高洪元李永潮庄宇
Owner HARBIN ENG UNIV