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A MIMO Channel Measurement System Based on Delay Lines and Simulations Based on Graph Modeling

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Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST,volume 352)

Abstract

In this paper, we proposed a novel MIMO channel measurement system architecture for 5G wireless communication based on the delay lines in combination with switches, and we implement propagation graph modeling to simulate the channel measurement procedure. Channel sounders equipped with multiple-element antenna arrays in the transmitter (Tx) and receiver (Rx) usually perform a measurement in two ways: switched channel measurement and parallel channel measurement. The latter usually needs multiple Txs/Rxs which leads a high cost, while the former with a high-speed radio-frequency switch at the transmitter and receiver has a lower cost but it is difficult to realize beamforming due to the Tx/Rx antennas do not transmit/receive signals simultaneously. By adding delay lines to the switched MIMO channel measurement system, the delay in different time slot at every Tx antennas can be compensated so that the multiple Tx antennas (empowered by only one Tx) transmit signals simultaneously. Furthermore, adding phase shifters after delay lines makes it easy to change the phase of each signal, which provides a convenient way for beamforming. The feasibility of the proposed method is preliminarily validated through simulations based on propagation graph modeling, the evaluation of the results is conducted by calculating the channel impulse response (CIR) or power delay profile (PDP) and estimating the direction of arrival (DOA) using Multiple Signal Classification (MUSIC) algorithm.

Keywords

  • Channel measurement
  • Delay line
  • Switch
  • Propagation graph modeling

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  • DOI: 10.1007/978-3-030-67720-6_13
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Correspondence to Shengnan Xu .

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Xu, S. (2021). A MIMO Channel Measurement System Based on Delay Lines and Simulations Based on Graph Modeling. In: Gao, H., Fan, P., Wun, J., Xiaoping, X., Yu, J., Wang, Y. (eds) Communications and Networking. ChinaCom 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 352. Springer, Cham. https://doi.org/10.1007/978-3-030-67720-6_13

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  • DOI: https://doi.org/10.1007/978-3-030-67720-6_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-67719-0

  • Online ISBN: 978-3-030-67720-6

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