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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
引用本文: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, 2012, 40(7): 1315-1322. DOI: 10.3969/j.issn.0372-2112.2012.07.005
作者姓名:李静叶  罗涛  乐光新
作者单位:1.北京邮电大学信息与通信工程学院,北京 1008762;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,北京,1008762
基金项目:国家自然科学基金,国家973重点基础研究发展计划,国家重大科技专项,新世纪优秀人才支持计划,ISN国家重点实验室开放基金
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  
收稿时间:2011-08-04

A Resource Allocation Scheme Jointly Considering Network Capacity and User Satisfaction in Cognitive Radio Networks
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, 2012, 40(7): 1315-1322. DOI: 10.3969/j.issn.0372-2112.2012.07.005
Authors:LI Jing-ye    LUO Tao    YUE Guang-xin
Affiliation: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
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.
Keywords:capacity  user satisfaction  resource allocation  user scheduling  cognitive radio  
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