A Resource Allocation Scheme Jointly Considering Network Capacity and User Satisfaction in Cognitive Radio Networks

doi:10.3969/j.issn.0372-2112.2012.07.005

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A Resource Allocation Scheme Jointly Considering Network Capacity and User Satisfaction in Cognitive Radio Networks

更新时间：2025-07-08

- A Resource Allocation Scheme Jointly Considering Network Capacity and User Satisfaction in Cognitive Radio Networks
- Acta Electronica Sinica Vol. 40, Issue 7, Pages: 1315-1322(2012)
- 作者机构：
  
  1. 西安电子科技大学综合业务网理论及关键技术国家重点实验室,陕西,西安,710071
  2. 北京邮电大学信息与通信工程学院,北京,100876
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.0372-2112.2012.07.005
  CLC： TN92
- Published：2012
- 稿件说明：
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A Resource Allocation Scheme Jointly Considering Network Capacity and User Satisfaction in Cognitive Radio Networks[J]. Acta Electronica Sinica, 2012, 40(7): 1315-1322.
DOI：

A Resource Allocation Scheme Jointly Considering Network Capacity and User Satisfaction in Cognitive Radio Networks[J]. Acta Electronica Sinica, 2012, 40(7): 1315-1322. DOI： 10.3969/j.issn.0372-2112.2012.07.005.

摘要

机会频谱接入技术是提高频谱利用率的一种有效方法

论文综合考虑信道的时变性、子信道空闲的检测可信度、认知网络与主网络间的互干扰等因素

建立了一种最大化认知网络有效容量和认知用户满意度的多目标优化模型

提出了一种联合资源分配和用户调度的PAUS算法.仿真结果表明

在主用户分布密度较低的环境中

该模型较最大化网络有效容量模型具有更高的用户满意度;较最大化认知用户满意度模型可获得更高的网络有效容量.

Abstract

Opportunistic spectrum access is an effective method to improve the spectrum utilization.In this paper

a multi-objective optimization model is proposed to take the time-variance characteristic of wireless channel

confidence level of sub-channel detection and the mutual interference between the primary networks and the cognitive radio networks into consideration

in which the effective capacity and user satisfaction are jointly optimized.Then

we also present a resource allocation scheme for power allocation and user scheduling (PAUS).The simulation results show that in lower density environment for the primary user

the proposed optimization model can achieve better performance in user satisfaction than that of the model to maximize the system capacity

and it can obtain higher network capacity than that of the optimization model to maximize the user satisfaction.

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