Sparse vector coding for short packet transmission in massive machine type communications

Hyoungju Ji; Byonghyo Shim

doi:10.1109/APCC.2018.8633508

Sparse vector coding for short packet transmission in massive machine type communications

Hyoungju Ji, Byonghyo Shim

Department of Computer Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

7 Citations (Scopus)

Abstract

Massive machine type communications (mMTC) is a service category in 5G to support Internet of Things (IoT). Typically, mMTC-based services require small volume of information. Since the current data transmission principle requires long codeblock to maximize the coding gain and hence is not adequate for short packet transmission, multiplexing mechanism to support short packet transmission in mMTC is required. In this paper, we propose a new type of uplink data transmission scheme suitable for the mMTC, called sparse vector coding (SVC). Key idea behind the proposed technique is to transmit the information after the sparse transformation. By mapping the information into the sparse vector and then transmitting it after the random non-orthogonal spreading, we cast the symbol detection problem into the sparse signal recovery problem in compressed sensing. We show from the simulations in the LTE uplink scenario and massive access scenario in 5G that the proposed SVC scheme outperforms conventional approaches and is very effective in short packet transmissions.

Original language	English
Title of host publication	2018 24th Asia-Pacific Conference on Communications, APCC 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	137-140
Number of pages	4
ISBN (Electronic)	9781538669280
DOIs	https://doi.org/10.1109/APCC.2018.8633508
Publication status	Published - 2018 Jul 2
Event	24th Asia-Pacific Conference on Communications, APCC 2018 - Ningbo, China Duration: 2018 Nov 12 → 2018 Nov 14

Publication series

Name	2018 24th Asia-Pacific Conference on Communications, APCC 2018

Conference

Conference	24th Asia-Pacific Conference on Communications, APCC 2018
Country/Territory	China
City	Ningbo
Period	18/11/12 → 18/11/14

Bibliographical note

Funding Information:
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korean government(MSIP)(2014R1A5A1011478).

Publisher Copyright:
© 2018 IEEE.

Keywords

5G
Ultra short packet
machine type communications
sparse vector coding

ASJC Scopus subject areas

Computer Networks and Communications
Signal Processing
Communication

Access to Document

10.1109/APCC.2018.8633508

Cite this

Ji, H., & Shim, B. (2018). Sparse vector coding for short packet transmission in massive machine type communications. In 2018 24th Asia-Pacific Conference on Communications, APCC 2018 (pp. 137-140). Article 8633508 (2018 24th Asia-Pacific Conference on Communications, APCC 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/APCC.2018.8633508

Sparse vector coding for short packet transmission in massive machine type communications. / Ji, Hyoungju; Shim, Byonghyo.
2018 24th Asia-Pacific Conference on Communications, APCC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 137-140 8633508 (2018 24th Asia-Pacific Conference on Communications, APCC 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Ji, H & Shim, B 2018, Sparse vector coding for short packet transmission in massive machine type communications. in 2018 24th Asia-Pacific Conference on Communications, APCC 2018., 8633508, 2018 24th Asia-Pacific Conference on Communications, APCC 2018, Institute of Electrical and Electronics Engineers Inc., pp. 137-140, 24th Asia-Pacific Conference on Communications, APCC 2018, Ningbo, China, 18/11/12. https://doi.org/10.1109/APCC.2018.8633508

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Sparse vector coding for short packet transmission in massive machine type communications

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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