摘要
OFDM是认知无线电系统物理层的关键技术,本文针对多用户的OFDM认知无线电系统,提出了一种联合功率、信道和比特分配的新算法,该算法将多用户资源分配映射成多维0-1背包问题,考虑了主次用户之间的干扰,引入了次用户的带宽需求,既保证了次用户对主用户干扰功率的限制,同时又满足了各个次用户的QoS。仿真结果表明,本文的算法与RC算法相比,不仅提高了系统容量,而且降低了计算量,同时还可以保证用户的QoS。
Orthogonal frequency division multiplexing(OFDM) is regarded as a key technology of physical layer for cognitive radio(CR).In this paper,a novel algorithm of adaptive subchannel,bit and power allocation for the multiuser OFDM-based cognitive radio systems is proposed.We formulate the resource allocation problem as a multidimensional 0-1knapsack problem and adopt a low-complexity algorithm to solve it.The proposed algorithm not only considers the mutual interference(MI) between primary and secondary users,but aslo accommodates SUs' bandwidth demand,and satisfies each secondary user's Quality of Service(QoS) requirement under the constraint of primary users' interference power limits.Simulation results show that,in comparison with RC(Reduced Complexity) algorithm,the proposed algorithm can decrease complexity and time efficiency while satisfying each user's QoS requirement.
出处
《电路与系统学报》
CSCD
北大核心
2011年第4期44-50,共7页
Journal of Circuits and Systems
基金
国家重点基础研究发展计划资助(2007CB310607)
国家自然科学基金(60772062)
国家科技重大专项资助课题(2009ZX03003-002
2011ZX03001-006-02)
关键词
认知无线电
OFDM
资源分配
多维0-1背包
cognitive radio
OFDM
resource allocation
multidimensional 0-1knapsack problem