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Cellular network resource allocation method based on improved genetic algorithm

A technology for improving genetic algorithms and cellular networks, applied in network planning, electrical components, wireless communications, etc., can solve problems such as premature convergence, and achieve the effects of reducing network burden, increasing network throughput, and improving premature phenomenon.

Active Publication Date: 2021-08-24
NANJING UNIV OF POSTS & TELECOMM
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Problems solved by technology

The fitness function of the genetic algorithm is not subject to continuous differentiable constraints, it has a wide range of applications, has a good global search ability, and also has the problem of premature convergence, which needs to be improved

Method used

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  • Cellular network resource allocation method based on improved genetic algorithm
  • Cellular network resource allocation method based on improved genetic algorithm
  • Cellular network resource allocation method based on improved genetic algorithm

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Embodiment Construction

[0071] The technical solution of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0072] Such as figure 1 As shown, a cellular network system model with caching enabled is established. This model includes a cloud pool and L base stations connected to the cloud pool. Caches are set at both the cloud pool and the base stations. There is a centralized controller in the cloud pool to monitor resources. distribute.

[0073] There are two transmission paths for the resource requested by the user: (1) When the base station has the resource requested by the user, it is directly transmitted from the base station to the user; (2) When the resource requested by the user does not exist at the base station, it is transmitted from the cache at the cloud pool to the user. The base station then transmits to the user.

[0074] When using the transmission path (1), the transmission rate of the user is:

[0075]

[0076] where...

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Abstract

The invention relates to a cellular network resource allocation method based on an improved genetic algorithm, and provides a cellular network architecture using cache. According to whether user request resources have different transmission links at a base station or not, a resource allocation problem is converted into a constraint optimization solving problem by combining user association, and an improved genetic algorithm is introduced to solve the optimization problem, and resource allocation is completed. In the improved genetic algorithm, an adaptive function, the adaptive crossover and mutation probability and a crossover and mutation operator are designed, so that the method has better global search capability, is less likely to fall into local optimum, and is high in convergence speed. The throughput of the whole system can be improved in combination with cache setting and a reasonable distribution strategy.

Description

technical field [0001] The invention belongs to the technical field of cellular network resource allocation, and in particular relates to a cellular network resource allocation method based on an improved genetic algorithm. Background technique [0002] With the development of the Internet, resources on the network are becoming more and more abundant, and more and more people obtain resources through mobile terminals. Correspondingly, the requirements for mobile communication are also getting higher and higher, and wireless resources are becoming more and more tense. By deploying a large number of low-energy, low-cost small base stations, compared with macro base stations, the total system capacity and spectrum utilization can be improved, and problems such as blind spots and weak coverage can be solved. At the same time, the dense deployment of small base stations also brings the problem of interference between base stations, which needs to be solved by adopting a reasonabl...

Claims

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Application Information

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IPC IPC(8): H04W16/10H04W16/22
CPCH04W16/10H04W16/22Y02D30/70
Inventor 潘甦徐世凡
Owner NANJING UNIV OF POSTS & TELECOMM
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