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Observation Period Length for Channel Selection

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Simulation Tools and Techniques (SIMUtools 2020)

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Abstract

The transmitter needs to select optimal wireless channel from several available ones in mobile communication. Since the instantaneous channel rate is time-varying with unknown statistics, the channel selection is based on observation. As the packets arrive, controller need to observe channel state in observation period, and then transmit packets through optimal channel in transmission period. We investigate the trade-off between observation period and transmission period. Short observation period might lead to wrong decision while long observation period wastes time. The simulation results show that there is an optimal length of observation period. The total transmission time experience a sharp decreasing before the optimal point. The longer observation does not cause an obvious increasing of length. This implies that the observation could be set longer rather than shorter.

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Acknowledgements

This work is partly supported by Jiangsu technology project of Housing and Urban-Rural Development (No. 2018ZD265) and Jiangsu major natural science research project of College and University (No. 19KJA470002).

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Authors and Affiliations

  1. Jiangsu Province Key Laboratory of Intelligent Industry Control Technology, Xuzhou University of Technology, Xuzhou, 221018, China

    Yi Shi, Lei Chen, Kailiang Zhang, Yuan An & Ping Cui

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  1. Yi Shi
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  2. Lei Chen
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  3. Kailiang Zhang
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  4. Yuan An
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  5. Ping Cui
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Correspondence to Lei Chen .

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Editors and Affiliations

  1. Embry-Riddle Aeronautical University, Daytona Beach, FL, USA

    Houbing Song

  2. School of Astronautics and Aeronautic, UESTC, Chengdu, China

    Dingde Jiang

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© 2021 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Shi, Y., Chen, L., Zhang, K., An, Y., Cui, P. (2021). Observation Period Length for Channel Selection. In: Song, H., Jiang, D. (eds) Simulation Tools and Techniques. SIMUtools 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 369. Springer, Cham. https://doi.org/10.1007/978-3-030-72792-5_38

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  • DOI: https://doi.org/10.1007/978-3-030-72792-5_38

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-72791-8

  • Online ISBN: 978-3-030-72792-5

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