Channel Adaptive Bandwidth Allocation Method for Low Power Wide Area Communication Systems 


Vol. 42,  No. 10, pp. 1863-1870, Oct.  2017
10.7840/kics.2017.42.10.1863


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  Abstract

Low power wide area (LPWA) communication techniques are essential to implement the Internet-of-Thing (IoT) networks, where a wide range of emerging applications are ubiquitously connected. To widen the coverage of LPWA network, the ultra narrow band (UNB) modulation method has been drawn attentions. However, when adopting the UNB method to the LPWA network, due to the narrow bandwidth nature of UNB method, the reduction of system throughput is unavoidable. In this paper, to improve the throughput of LPWA communication systems, we propose a "channel adaptive bandwidth allocation method". Exploiting channel gain in the process of bandwidth allocation, the proposed scheme does increase the throughput. In addition, we present various design guidelines which are vital to realize the proposed method, such as a physical layer frame structure; a transmission starting point decision rule; and a bandwidth selection method over finite cardinality bandwidth set. From numerical simulations, we show the performance improvement of the proposed scheme and analyze its transmit latency.

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  Cite this article

[IEEE Style]

J. Shin, "Channel Adaptive Bandwidth Allocation Method for Low Power Wide Area Communication Systems," The Journal of Korean Institute of Communications and Information Sciences, vol. 42, no. 10, pp. 1863-1870, 2017. DOI: 10.7840/kics.2017.42.10.1863.

[ACM Style]

Joonwoo Shin. 2017. Channel Adaptive Bandwidth Allocation Method for Low Power Wide Area Communication Systems. The Journal of Korean Institute of Communications and Information Sciences, 42, 10, (2017), 1863-1870. DOI: 10.7840/kics.2017.42.10.1863.

[KICS Style]

Joonwoo Shin, "Channel Adaptive Bandwidth Allocation Method for Low Power Wide Area Communication Systems," The Journal of Korean Institute of Communications and Information Sciences, vol. 42, no. 10, pp. 1863-1870, 10. 2017. (https://doi.org/10.7840/kics.2017.42.10.1863)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880