CAJ | 학술논문

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。
인지무선망락중기우OFDMA적차계통(SS)여LTE-A주계통(PS)이중첩방식공향빈보적문제월래월수도학술계중시，해문관주상술장경중적자원분배화간우피면문제。해문제적곤난재우자원분배자문제중대우합간우적공솔분배문제시 NP-난적。위료만족연구장경제출적시연약속，해문장제출량계단자원분배산법：자재파분배계단적최대권필배방법화공솔분배계단적간우양화분배방법，간기위MQRA산법。이론분석화방진결과표명，해문제출적MQRA산법능구흔호지평형성능화복잡성，병괄용우LTE-A주계통하적빈보공향문제。
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.