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Maximizing Achievable Data Rate in Unlicensed mmWave Networks with Mobile Clients

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Internet of Things, Smart Spaces, and Next Generation Networks and Systems (NEW2AN 2019, ruSMART 2019)

Abstract

In millimeter-wave (mmWave) networks, where faster signal attenuation is compensated by the use of highly directional antennas, the effects of high mobility may seriously harm the link quality and, hence, the overall system performance. In this paper, we study the channel access in unlicensed mmWave networks with mobile clients, with particular emphasis on initial beamforming training and beam refinement protocol as per IEEE 802.11ad/ay standard. We explicitly model beamforming procedures and corresponding overhead for directional mmWave antennas and provide a method for maximizing the average data rate over the variable length of the 802.11ad/ay beacon interval in different mobility scenarios. We illustrate the impact of the client speed and mobility patterns by examples of three variations of the discrete random walk mobility model.

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Notes

  1. 1.

    QUALCOMM has already announced new 802.11ay chipsets, QCA6431 and QCA6421, intended for mobile use; however, the corresponding hardware specifications have not been published as of July 2019.

  2. 2.

    Here, we focus only on the scheduled operation, although DTI may as well contain contention-based access periods (CBAPs).

  3. 3.

    In fact, one of the clients may succeed. We leave the evaluation of initial random access collisions out of the scope of this paper. The detailed description of the protocol may be found in [17].

  4. 4.

    In reality, the antenna pattern is not omnidirectional. Moreover, devices may use several directional antennas, and all of them participate in sector sweep. For the sake of clarity, we omit consideration of more complex procedures with multiple antennas but note that the respective modifications can be easily incorporated into our system.

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Acknowledgment

The publication has been prepared with the support of the “RUDN University Program 5-100” (recipients Nadezhda Chukhno, Olga Chukhno, Konstantin Samouylov). The reported study was funded by RFBR, project numbers 17-07-00845 and 18-07-00576 (recipients Yuliya Gaidamaka, Sergey Shorgin). This work has been developed within the framework of the COST Action CA15104, Inclusive Radio Communication Networks for 5G and beyond (IRACON).

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Correspondence to Nadezhda Chukhno .

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Chukhno, N., Chukhno, O., Shorgin, S., Samouylov, K., Galinina, O., Gaidamaka, Y. (2019). Maximizing Achievable Data Rate in Unlicensed mmWave Networks with Mobile Clients. In: Galinina, O., Andreev, S., Balandin, S., Koucheryavy, Y. (eds) Internet of Things, Smart Spaces, and Next Generation Networks and Systems. NEW2AN ruSMART 2019 2019. Lecture Notes in Computer Science(), vol 11660. Springer, Cham. https://doi.org/10.1007/978-3-030-30859-9_24

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  • DOI: https://doi.org/10.1007/978-3-030-30859-9_24

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