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Backoff HARQ for Contention-Based Transmission in 5G Uplink

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IoT as a Service (IoTaaS 2018)

Abstract

With extraordinary growth in the Internet of Things (IoT), the amount of data exchanged between IoT devices is growing at an unprecedented scale, which is an important requirement for Fifth generation (5G) networks. Current Long Term Evolution (LTE) system is not able to efficiently support massive connectivity, especially on the uplink (UL). The contention based transmission enables to transmit data packet without waiting for dynamic and explicit scheduling grant from base station, and is more efficient for small packet transmission in terms of lower signaling overhead, lower latency and lower energy consumption. However, this may lead to high collision rates and a large amount of retransmissions. New low complexity recovery mechanism of non-successful transmissions is needed. So in this paper, a new Hybrid Automatic Repeat reQuest (HARQ) mode, called Backoff HARQ, is proposed for contention-based (CB) transmission in 5G uplink. For Backoff HARQ mode, round trip time (RTT) is set to a longer random time. We can get more HARQ processes and put off the retransmission information for the longer random backoff time as we set. We evaluate the proposed backoff HARQ mode using system simulations and show that the new mode provides superior system performance.

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Acknowledgment

This study was supported by the National Natural Science Foundation of China Grants 61725101 and 61801016; and by the China Postdoctoral Science Foundation under Grant 2017M610040 and 2018T110041; and by National key research and development program under Grant 2016YFE0200900; and by the Beijing Natural Fund under Grant L172020; and by Major projects of Beijing Municipal Science and Technology Commission under Grant No. Z181100003218010.

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Correspondence to Yong Niu .

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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Li, X., Zhong, Z., Niu, Y., Zhou, H. (2019). Backoff HARQ for Contention-Based Transmission in 5G Uplink. In: Li, B., Yang, M., Yuan, H., Yan, Z. (eds) IoT as a Service. IoTaaS 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 271. Springer, Cham. https://doi.org/10.1007/978-3-030-14657-3_28

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  • DOI: https://doi.org/10.1007/978-3-030-14657-3_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-14656-6

  • Online ISBN: 978-3-030-14657-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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