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Realization of CDMA-based IoT Services with Shared Band Operation of LTE in 5G

Published: 09 August 2017 Publication History

Abstract

5G network is geared towards massive deployment of Internet-of-Things (IoTs) with requirements of low end-to-end latency, low control overhead and low power transmissions. Current 4G network is optimized for large bandwidth applications and inefficient to handle short sporadic IoT messages. This paper focuses on low power underlay CDMA access for IoT devices considering event-driven and latency sensitive traffic profile, thus will significantly reduce the access time. We propose a PHY/MAC layer design for CDMA based communication for IoT devices. We evaluate coexisting operation of CDMA based IoT network in presence of the exiting LTE network. Our proposed protocol will integrate IoT traffic with legacy system by minimal modification at the edge network, essentially eNodeB. We show that the underlay CDMA IoT network meets IoT data traffic requirements with minimal degradation (~ 3%) to the LTE throughput. We also implement the proposed design using Software Defined Radios and show the viability of the proposal under different network scenarios.

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References

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Cited By

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  • (2021)From 5G to 6G Technology: Meets Energy, Internet-of-Things and Machine Learning: A SurveyApplied Sciences10.3390/app1117811711:17(8117)Online publication date: 31-Aug-2021
  • (2020)Two‐stage memetic algorithm for blind equalisation in direct‐sequence/code‐division multiple‐access systemsIET Communications10.1049/iet-com.2019.069214:17(3039-3046)Online publication date: 13-Oct-2020
  • (2020)A High Capacity 1D-Chaotic-Collaborative-CDMA Scheme for Shared Band 5G-IoT OperationWireless Personal Communications10.1007/s11277-020-07572-z115:1(307-314)Online publication date: 17-Jun-2020
  • Show More Cited By

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        cover image ACM Conferences
        MECOMM '17: Proceedings of the Workshop on Mobile Edge Communications
        August 2017
        67 pages
        ISBN:9781450350525
        DOI:10.1145/3098208
        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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        New York, NY, United States

        Publication History

        Published: 09 August 2017

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        Author Tags

        1. 5G
        2. CDMA
        3. Internet of Things (IoT)
        4. LTE
        5. USRP
        6. experimentation
        7. openairinterface
        8. system modeling

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        • Research-article
        • Research
        • Refereed limited

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        SIGCOMM '17
        Sponsor:
        SIGCOMM '17: ACM SIGCOMM 2017 Conference
        August 21, 2017
        CA, Los Angeles, USA

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        Cited By

        View all
        • (2021)From 5G to 6G Technology: Meets Energy, Internet-of-Things and Machine Learning: A SurveyApplied Sciences10.3390/app1117811711:17(8117)Online publication date: 31-Aug-2021
        • (2020)Two‐stage memetic algorithm for blind equalisation in direct‐sequence/code‐division multiple‐access systemsIET Communications10.1049/iet-com.2019.069214:17(3039-3046)Online publication date: 13-Oct-2020
        • (2020)A High Capacity 1D-Chaotic-Collaborative-CDMA Scheme for Shared Band 5G-IoT OperationWireless Personal Communications10.1007/s11277-020-07572-z115:1(307-314)Online publication date: 17-Jun-2020
        • (2018)Scalable Sporadic Medium Access for Complex Propagation Environments2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)10.1109/PIMRC.2018.8580815(1-7)Online publication date: Sep-2018

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