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Creators/Authors contains: "Wang, Zhengdao"

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  1. ; ; (, IEEE Transactions on Green Communications and Networking)
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  2. ; ; (, International Conference on Wireless Communications and Signal Processing)
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  3. ; ; (, International Conference on Wireless Communications and Signal Processing)
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  4. ; ; (, International Conference on Computer Communications and Networking)
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  5. ; ; (, IEEE ICASSP)
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  6. ; (, IEEE Transactions on Communications)
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  7. ; (, IEEE Transactions on Wireless Communications)
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  8. ; ; ; (, IET Communications)
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  9. ; ; (, IEEE Communications Magazine)
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  10. ; ; ; ; (, International Conference on Communications - Proceedings)
    We study multi-base station (BS) preamble detection schemes for the narrow-band Internet of Things (NB-IoT) random access by using stochastic geometry analysis. Specifically, we compare the preamble detection performance of two baseline detection schemes: Quantize-and-Forward (QnF) and Detect-and-Forward (DnF). QnF requires the feedback of quantized received power levels while DnF requires 1-bit feedback of local detection result. Our results show that DnF scheme outperforms QnF scheme when the backhaul capacity is limited or when the minimum distance between user and BSs is less than a threshold. Our results also show that the use of multiple collaborative BSs can lead to a significant improvement of the preamble detection performance, as well as reduction of the total power of the preamble transmission. 
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