Gravitational Search Algorithm for Low Complexity Carrier Frequency Offset Estimation in Uplink OFDMA Systems

نویسندگان

  • Ho-Lung Hung
  • Chung-Hsien Chen
چکیده

Orthogonal frequency division multiple access (OFDMA) systems in the uplink suffer from multiple access interference (MAI) due to their high sensitivity to frequency misalignments between different users. Moreover, carrier frequency offset (CFO) is a major factor that degrades performance of the OFDMA system. As the maximumlikelihood (ML) estimator is impractical in this context, we introduce a family of suboptimal estimators with the aim of exhibiting an attractive tradeoff between performance and complexity. The complexity reduction in the proposed solutions is substantial when compared to the existing ones in the literature. It is worth mentioning that this substantial complexity reduction is achieved in expense of some bandwidth efficiency loss. Hence, there exists a tradeoff between bandwidth efficiency and complexity. In this paper, we propose a new approach called gravitational search algorithm (GSA), for CFO estimation. Performance and complexity comparisons are provided, along with numerical results to illustrate the effectiveness of the proposed method. Simulation results demonstrating the effectiveness of the proposed algorithms in approaching the optimal performance are also presented. KeywordsOFDMA; gravitational search algorithm; carrier frequency offset, ML

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تاریخ انتشار 2016