摘要
该文提出了认知网络中基于微观经济学的动态频谱管理机制,实现异构无线网络中频谱资源的动态分配,从而最大化频谱资源的利用率并提高运营商的收益。文中引入了频谱资源的经济价值因素以保证运营商间频谱交易的合理性。此外,为了保证系统的性能,文中提出了一种基于地理信息系统的空分模型,并设计了干扰抑制技术以限制动态频谱管理带来的干扰。博弈论是一种能够有效解决自主分布式无线资源优化的算法,该文将其引入,为不同运营商提供双赢的频谱交易策略。仿真结果表明,该频谱管理机制提高了频谱利用率以及运营商的收益,并有效地抑制了系统间的干扰。
This paper investigates a Microeconomics Based Dynamic Spectrum Management （MB-DSM） scheme to enhance the spectrum utilization and maximize the profit of operators for cognitive heterogeneous networks. The economic factor of the spectrum is considered in order to guarantee the rationality for the spectrum trading. Especially, a space division model is proposed based on Geographical Information System （GIS） to handle the interference issue among wireless systems. As a potential tool for promoting distributed autonomous radio resource optimization algorithms, game theory is applied to investigate a win-win solution for spectrum trading. The simulation results reveal that MB-DSM scheme not only improves the spectrum utilization and the operator＇s profit, but also mitigates effectively the interference between wireless networks.
出处
《电子与信息学报》
EI
CSCD
北大核心
2009年第4期897-902,共6页
Journal of Electronics & Information Technology
基金
欧盟第七框架项目(FP7-ICT-2007-216248)
国家自然科学基金重点项目(60632030)
国家863计划重点项目(2006AA01Z276)资助课题
关键词
认知无线网络
动态频谱管理
博弈论
微观经济学
系统间干扰
重配置
Cognitive wireless networks
Dynamic spectrum management
Game theory
Microeconomics
Inter-system interference
Reconfiguration
