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Identification of Abnormal Functioning of Devices of Cyber-Physical Systems Read chapter Read first chapter

2020 | OriginalPaper | Chapter

Bitstreams Multiplexing with Trellis-Coded Modulation and the Fixed Point LDPC Decoding Procedure for Centralised Wireless Networks

Authors : Igor A. Pastushok, Nikita A. Boikov, Nikita A. Yankovskii

Published in: Internet of Things, Smart Spaces, and Next Generation Networks and Systems

Publisher: Springer International Publishing

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Abstract

This article is a continuation of the study of enhanced Mobile BroadBand and Ultra-Reliable and Low Latency communication multiplexing methods in the downlink of fifth-generation wireless networks. Based on a previous study, the following approach to multiplexing eMBB and URLLC data streams based on Trellis-Coded Modulation using LDPC codes for fifth generation networks in soft decision mode using different quantization levels is proposed.

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previous chapter Offset Generation and Interlayer Network Architecture for 5GNR LDPC Parallel Layered Decoder with Variable Lifting Factor Support
next chapter About Burst Decoding for Block-Permutation LDPC Codes
Literature
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Semiari, O., Saad, W., Bennis, M., Debbah, M.: Integrated millimeter wave and sub-6 GHz wireless networks: a roadmap for joint mobile broadband and ultra-reliable low-latency communications. IEEE Wirel. Commun. 26(2), 109–115 (2019)CrossRef
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Pandey, S.R., Alsenwi, M., Tun, Y.K., Hong, C.S.: A downlink resource scheduling strategy for URLLC traffic. In: 2019 IEEE International Conference on Big Data and Smart Computing (BigComp), Kyoto, Japan, pp. 1–6 (2019)
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Anand, A., de Veciana, G., Shakkottai, S.: Joint scheduling of URLLC and eMBB traffic in 5G wireless networks. IEEE/ACM Trans. Netw. 28(2), 477–490 (2020)CrossRef
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Esswie, A.A., Pedersen, K.I.: Opportunistic spatial preemptive scheduling for URLLC and eMBB coexistence in multi-user 5G networks. IEEE Access 6, 38451–38463 (2018)CrossRef
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Pedersen, K.I., Pocovi, G., Steiner, J., Khosravirad, S.R.: Punctured scheduling for critical low latency data on a shared channel with mobile broadband. In: IEEE 86th Vehicular Technology Conference (VTC-Fall), Toronto, ON, pp. 1–6 (2017)
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Li, J., Zhang, X.: Deep reinforcement learning based joint scheduling of eMBB and URLLC in 5G networks. IEEE Wirel. Commun. Lett. 9, 1543–1546 (2020)CrossRef
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Zhang, K., Xu, X., Zhang, J., Zhang, B., Tao, X., Zhang, Y.: Dynamic multiconnectivity based joint scheduling of eMBB and uRLLC in 5G networks. IEEE Syst. J
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Pastushok, I.A., Boikov, N.A.: Investigation of methods for multiplexing EMBB and URLLC streams in a downlink. In: Wave Electronics and its Application in Information and Telecommunication Systems (WECONF), Saint-Petersburg, Russia, pp. 1–4 (2019)
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Pastushok, I.A., Boikov, N.A., Yankovskii, N.A.: Bit stream multiplexing in 5G networks. In: Wave Electronics and its Application in Information and Telecommunication Systems (WECONF), Saint-Petersburg, Russia, pp. 1–4 (2020)
Metadata
Title
Bitstreams Multiplexing with Trellis-Coded Modulation and the Fixed Point LDPC Decoding Procedure for Centralised Wireless Networks
Authors
Igor A. Pastushok
Nikita A. Boikov
Nikita A. Yankovskii
Copyright Year
2020
Book
Internet of Things, Smart Spaces, and Next Generation Networks and Systems

Print ISBN: 978-3-030-65725-3

Electronic ISBN: 978-3-030-65726-0

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-3-030-65726-0_34

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