A power control method based on monotonicity optimization and simulated annealing for a cognitive wireless network

A cognitive wireless network and simulated annealing technology, applied in the field of power control based on monotonic optimization and simulated annealing in cognitive wireless networks, can solve problems such as non-convex optimization

Active Publication Date: 2016-03-02
ZHEJIANG UNIV OF TECH
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Problems solved by technology

However, the above-mentioned interference often makes the problem difficult to solve due to non-convex optimization. Therefore, it is meaningful to propose an effective and efficient optimization method that guarantees the QoS of the PU and maximizes the net benefit of the PU.

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  • A power control method based on monotonicity optimization and simulated annealing for a cognitive wireless network
  • A power control method based on monotonicity optimization and simulated annealing for a cognitive wireless network
  • A power control method based on monotonicity optimization and simulated annealing for a cognitive wireless network

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Embodiment Construction

[0098] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0099] refer to figure 1 , a power control method based on monotonicity optimization and simulated annealing in cognitive wireless networks, the implementation of this method can maximize the net income of PU and improve the utilization rate of spectrum resources of the whole system under the premise of satisfying PU and SUs at the same time . The present invention is applied in cognitive radio network (such as figure 1 shown). Scenarios in which licensed users (PUs) share their spectrum with unlicensed users (SUs) to obtain additional revenue. Here, we consider that authorized users (PUs) need to serve unauthorized users (SUs) and meet their respective throughput requirements while guaranteeing their own throughput. We also consider that authorized users (PUs) need to overcome the corresponding Interference and thus additional transmit power expense. Ai...

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Abstract

The invention provides a power control method based on monotonicity optimization and simulated annealing for a cognitive wireless network. The method comprises the steps of firstly considering the interference between a PU and SUs and between SUs, an optimization problem being described as a multivariable non-convexity optimization problem P1; secondly, vertically decomposing the problem P1 into two layers of optimization problems; thirdly, proposing a power control method of monotonicity optimization for the ground layer problem and optimizing the transmission power of the SUs on the condition of the given PU transmission power; fourthly, proposing the method of simulated annealing to optimize the transmission power of the PU based on the ground layer problem; fifthly, finally solving the problem P) through interactive iteration of the ground layer problem and the top layer problem. The invention provides the effective and high-efficiency optimization method which can guarantee the QoS of the PU and maximize the net yield of the PU; the method can increase the spectral efficiency of systems and optimize the allocation of system resources.

Description

technical field [0001] The invention relates to an optimal power control method based on monotonic optimization and simulated annealing algorithm in a cognitive radio network. Background technique [0002] With the rapid growth of mobile data services, the limited available spectrum resources make the problem of spectrum congestion increasingly prominent. Dynamic Spectrum Access (DSA), as an effective supplement to the traditional fixed spectrum allocation method in the mobile network, intelligently reuses the licensed spectrum fully utilized by the unlicensed system (PrimarySystem-PS) or licensed user (PrimaryUser-PU) Resources, so that unlicensed users (SecondaryUser-SU) can access the licensed spectrum of the PU for data transmission in a timely manner, so that the spectrum utilization rate is effectively improved. Due to its superiority, DSA is considered to be a model of a spectrum supply method that can be flexible and respond to current needs, and has a broad prospec...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W52/14H04W52/24
CPCH04W52/14H04W52/243
Inventor 吴远何艳飞陈佳超严雨桐钱丽萍
Owner ZHEJIANG UNIV OF TECH
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