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Enhanced frameless slotted ALOHA protocol with Markov chains analysis

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Abstract

In this paper, we propose a novel approach to enhance the performance of frameless slotted ALOHA (SA) protocol. We employ signature codes to help the receiver identify the packets contained in collisions, and use successive interference cancellation (SIC) for packet recovery. We model the proposed scheme as a two-state Markov model represented by a uni-partite graph. We evaluate the throughput, expected delay and average memory size of the proposed scheme, and optimize the proposed scheme to maximize the throughput. We show that the theoretical analysis matches well with simulation results. The throughput and expected delay of the proposed protocol outperform the conventional slotted ALOHA protocol significantly.

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Acknowledgements

This work was supported in part by Beijing Major Science and Technology Projects (Grant No. D171100006317001), Beijing Natural Science Foundation (Grant No. 4152047), and Programme of Introducing Talents of Discipline to Universities (111 Project) (Grant No. B14010).

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Authors and Affiliations

  1. School of Information and Electronics, Beijing Institute of Technology, Beijing, 100081, China

    Dai Jia, Zesong Fei & Jingming Kuang

  2. School of Electrical Engineering, Royal Institute of Technology, Stockholm, SE-100 44, Sweden

    Ming Xiao

  3. Department of Electrical and Computer Engineering, University of Alberta, Edmonton, T6G2R3, Canada

    Congzhe Cao

Authors
  1. Dai Jia
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  2. Zesong Fei
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  3. Ming Xiao
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  4. Congzhe Cao
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  5. Jingming Kuang
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Corresponding author

Correspondence to Zesong Fei.

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Jia, D., Fei, Z., Xiao, M. et al. Enhanced frameless slotted ALOHA protocol with Markov chains analysis. Sci. China Inf. Sci. 61, 102304 (2018). https://doi.org/10.1007/s11432-017-9296-6

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  • DOI: https://doi.org/10.1007/s11432-017-9296-6

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