Multi-type spectrum resources joint distribution algorithm based on guaranteed QoS

Ling LIU; Yongju XIAN; Jia ZHU

doi:10.11959/j.issn.1000-0801.2016007

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Multi-type spectrum resources joint distribution algorithm based on guaranteed QoS

Ressearch and development | 更新时间：2024-06-05

- Multi-type spectrum resources joint distribution algorithm based on guaranteed QoS
- Telecommunications Science Vol. 32, Issue 1, Pages: 46-53(2016)
- 作者机构：
  
  1. 重庆交通大学信息科学与工程学院，重庆400074
  2. 重庆邮电大学通信与信息工程学院，重庆400065
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2016007
  CLC： TN929.53
- Published Online：2016-01，
  
  Published：20 January 2016
- 稿件说明：
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Ling LIU, Yongju XIAN, Jia ZHU. Multi-type spectrum resources joint distribution algorithm based on guaranteed QoS[J]. Telecommunications science, 2016, 32(1): 46-53.
DOI：

Ling LIU, Yongju XIAN, Jia ZHU. Multi-type spectrum resources joint distribution algorithm based on guaranteed QoS[J]. Telecommunications science, 2016, 32(1): 46-53. DOI： 10.11959/j.issn.1000-0801.2016007.

摘要

提出了基于静态、半静态和动态频谱资源共性特征指标的频谱可用性定义方法，并借鉴改进的最大加权时延优先（modified largest weight delay first

M-LWDF）算法的QoS需求定义方法，定义了用户的业务需求指标。在此基础上，提出了结合频谱可用性和用户业务需求的频谱分配方法和二次分配方法，其核心思想是将用户需求和频谱资源的可用性按照一定的方式量化，再采用简单的按大小一一对应的方式进行分配。与随机分配方案、先静后动的频谱分配方案的仿真对比表明，本方案在平均失败次数、平均总速率等性能方面具有明显的改善。

Abstract

The definition of the spectrum availability in terms of static spectrum

semi-static spectrum and dynamic spectrum and the definition of service requirement index based on M-LWDF QoS definition were proposed.A spectrum allocation method and a redistribution method combined with spectrum availability and subscriber requirement were presented.The main idea of the method is that subscriber requirement and availability of spectrum resource are quantified

and then spectrum resources are allocated to subscribers by a one-to-one mapping based on their quantified values in the same sequence.Compared with the random distribution scheme and the dynamic scheme following static allocation

simulation results show that the scheme presented can obviously improve system performance in average number of failure distribution and average total data rate.

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references

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