联合网络容量与认知用户满意度的资源分配优化方案

doi:10.3969/j.issn.0372-2112.2012.07.005

电子学报

联合网络容量与认知用户满意度的资源分配优化方案

李静叶^1,2, 罗涛¹, 乐光新¹

1. 北京邮电大学信息与通信工程学院, 北京 100876;
2. 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

收稿日期:2011-08-04 修回日期:2011-10-10 出版日期:2012-07-25 发布日期:2012-07-25
作者简介:李静叶女,1984年4月出生,河北石家庄人.北京邮电大学博士研究生.研究方向为移动通信,认知无线电网络. E-mail:lijingye@bupt.edu.cn 罗涛男,1971年9月出生,陕西凤翔县人.北京邮电大学教授、博士生导师、中国电子学会会员、IEEE会员.现主要从事宽带移动通信、认知无线电和车辆通信WAVE等方面的研究工作. 乐光新男,1937年1月出生,贵州省贵阳市人.北京邮电大学教授,博士生导师,长期从事通信系统理论和数字通信系统的教学和科研工作,曾担任北京邮电大学电信工程系主任,校教学特别顾问和校学术委员会主任等职务,1992年起享受国务院特殊津贴,主要研究方向是数字通信系统与信息处理、宽带无线通信与网络等.
基金资助:
国家自然科学基金(No.60872049,No.60971082,No.60972073);国家973重点基础研究发展计划(No.2009CB320407);国家重大科技专项(No.2010ZX03001-003);新世纪优秀人才支持计划;ISN国家重点实验室开放基金(No.ISN12-03)

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

LI Jing-ye^1,2, LUO Tao¹, YUE Guang-xin¹

1. School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China;
2. The State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an, Shaanxi 710071, China

Received:2011-08-04 Revised:2011-10-10 Online:2012-07-25 Published:2012-07-25

摘要/Abstract

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.

关键词: 容量, 用户满意度, 资源分配, 用户调度, 认知无线电

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.

Key words: capacity, user satisfaction, resource allocation, user scheduling, cognitive radio

中图分类号:

TN92

李静叶, 罗涛, 乐光新. 联合网络容量与认知用户满意度的资源分配优化方案[J]. 电子学报, DOI: 10.3969/j.issn.0372-2112.2012.07.005.

LI Jing-ye, LUO Tao, YUE Guang-xin. A Resource Allocation Scheme Jointly Considering Network Capacity and User Satisfaction in Cognitive Radio Networks[J]. Acta Electronica Sinica, DOI: 10.3969/j.issn.0372-2112.2012.07.005.

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联合网络容量与认知用户满意度的资源分配优化方案

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

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