LTE-A Uplink Resource Sharing Mechanism Based on Matching and Interference Quantizing in Cognitive Radio Network
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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。Abstract: 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 dif?culty 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 ful?lls the stringent delay requirement of LTE-A systems.
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Key words:
- Cognitive radio network /
- LTE-A /
- Spectrum underlay sharing /
- Subcarrier allocation /
- Power allocation
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