认知无线网络中一种基于匹配和干扰量化的LTE-A上行资源共享机制  

LTE-A Uplink Resource Sharing Mechanism Based on Matching and Interference Quantizing in Cognitive Radio Network

作　　者：费新伟 王满喜 白铂[1] 陈巍[1] 曹志刚[1] 

机构地区：[1]清华大学微波与数字通信国家重点实验室,北京100084 [2]电子信息系统复杂电磁环境效应国家重点实验室,洛阳471003

出　　处：《电子与信息学报》2014年第7期1686-1692,共7页Journal of Electronics & Information Technology

基　　金：电子信息系统复杂电磁环境效应国家重点实验室开放课题;清华大学电子工程系传信研究基金资助课题

摘　　要：认知无线网络中基于OFDMA的次系统(SS)与LTE-A主系统(PS)以重叠方式共享频谱的问题越来越受到学术界重视,该文关注上述场景中的资源分配和干扰避免问题。该问题的困难在于资源分配子问题中带耦合干扰的功率分配问题是NP-难的。为了满足研究场景提出的时延约束,该文将提出两阶段资源分配算法:子载波分配阶段的最大权匹配方法和功率分配阶段的干扰量化分配方法,简记为MQRA算法。理论分析和仿真结果表明,该文提出的MQRA算法能够很好地平衡性能和复杂性,并适用于LTE-A主系统下的频谱共享问题。In cognitive radio network, the underlay coexistence problem of the OFDMA based Secondary System （SS） with LTE-A systems is more and more important. This paper focuses on the resource allocation and interference mitigation issues in the aforementioned scenario. The difficulty lies in the fact that even the subproblem, or power allocation with interference, is NP-Hard. Therefore, this paper proposes a two-phase Resource Allocation algorithm using maximum weighted Matching in the subcarrier allocation phase and interference Quantizing in the power allocation phase, referred to as the MQRA algorithm. As presented in this paper, the proposed MQRA algorithm has a good balance in performance and complexity, which fulfills the stringent delay requirement of LTE-A systems.

关 键 词：认知无线网络 LTE-A 频谱重叠共享 子载波分配 功率分配 

分 类 号：TN92[电子电信—通信与信息系统]