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Application of Time-Varying Filter in Time-Frequency Resource Allocation

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Machine Learning and Intelligent Communications (MLICOM 2017)

Abstract

With the rapid development of wireless communication industry, the problem of spectrum resource scarcity is becoming more and more serious. To improve the spectral efficiency by compressing the adjacent carrier frequency intervals will increase the inter carrier interference. At this point, the performance of time-invariant filter is poor. If the communication system can make full use of the low energy slots in the time-frequency domain, the spectral efficiency could be improved. This paper proposes a time-frequency resource allocation method in which there is a delay of half a symbol between adjacent carriers. Accordingly, a time-varying filter is proposed. The simulation results show that the proposed time-varying filter performs better than the time-invariant filter.

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Acknowledgment

This paper was supported by the National Natural Science Foundation Program of China (No. 61671179) and the Science and Technology on Information Transmission and Dissemination in Communication Networks Laboratory project (EX156410046).

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Correspondence to Xuejun Sha .

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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Ma, Z., Ye, L., Sha, X. (2018). Application of Time-Varying Filter in Time-Frequency Resource Allocation. In: Gu, X., Liu, G., Li, B. (eds) Machine Learning and Intelligent Communications. MLICOM 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 226. Springer, Cham. https://doi.org/10.1007/978-3-319-73564-1_70

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  • DOI: https://doi.org/10.1007/978-3-319-73564-1_70

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-73563-4

  • Online ISBN: 978-3-319-73564-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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