Comprehensive grant-free random access for massive & low latency communication

Ameha T. Abebe; Chung G. Kang

doi:10.1109/ICC.2017.7996932

Comprehensive grant-free random access for massive & low latency communication

Ameha T. Abebe, Chung G. Kang

School of Electrical Engineering

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

47 Citations (Scopus)

Abstract

In this paper, we introduce a comprehensive grant-free random access scheme for machine-type communication which is characterized by massive connectivity and low latency. The scheme presented in here is comprehensive in a sense that, synchronization, channel estimation, and users identification & data detection (multi-user detection) are performed all in a single shot. The scheme employs compressive sensing by exploiting two sparse phenomena: sparsity in users activity and sparsity in multi-path channel. Furthermore, the scheme is designed in such a way that channel estimation and multi-user detection have a bi-directional mutual relationship, enabling one to reinforce the other for accurate detection and estimation. Moreover, the iterative order recursive least square (IORLS) estimation algorithm is modified & employed in such a way that it exploits the joint structure in multi-path channel and multi-user signal sparsity.

Original language	English
Title of host publication	2017 IEEE International Conference on Communications, ICC 2017
Editors	Merouane Debbah, David Gesbert, Abdelhamid Mellouk
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781467389990
DOIs	https://doi.org/10.1109/ICC.2017.7996932
Publication status	Published - 2017 Jul 28
Event	2017 IEEE International Conference on Communications, ICC 2017 - Paris, France Duration: 2017 May 21 → 2017 May 25

Publication series

Name	IEEE International Conference on Communications
ISSN (Print)	1550-3607

Other

Other	2017 IEEE International Conference on Communications, ICC 2017
Country/Territory	France
City	Paris
Period	17/5/21 → 17/5/25

Bibliographical note

Funding Information:
ACKNOWLEDGMENT This work was supported by the ICT R&D program of MSIP/IITP [14-000-04-001, Development of 5G Mobile Communication Technologies for Hyper-connected Smart Services] & [B0194-15-1002, Korea-China bilateral and international collaboration of mmWave core technologies for 5G standardization.]

Keywords

compressive sensing
machine-type communication
multi-user detection
sparse channel detection
synchronization

ASJC Scopus subject areas

Computer Networks and Communications
Electrical and Electronic Engineering

Access to Document

10.1109/ICC.2017.7996932

Cite this

Abebe, A. T., & Kang, C. G. (2017). Comprehensive grant-free random access for massive & low latency communication. In M. Debbah, D. Gesbert, & A. Mellouk (Eds.), 2017 IEEE International Conference on Communications, ICC 2017 Article 7996932 (IEEE International Conference on Communications). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICC.2017.7996932

Comprehensive grant-free random access for massive & low latency communication. / Abebe, Ameha T.; Kang, Chung G.
2017 IEEE International Conference on Communications, ICC 2017. ed. / Merouane Debbah; David Gesbert; Abdelhamid Mellouk. Institute of Electrical and Electronics Engineers Inc., 2017. 7996932 (IEEE International Conference on Communications).

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

Abebe, AT & Kang, CG 2017, Comprehensive grant-free random access for massive & low latency communication. in M Debbah, D Gesbert & A Mellouk (eds), 2017 IEEE International Conference on Communications, ICC 2017., 7996932, IEEE International Conference on Communications, Institute of Electrical and Electronics Engineers Inc., 2017 IEEE International Conference on Communications, ICC 2017, Paris, France, 17/5/21. https://doi.org/10.1109/ICC.2017.7996932

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abstract = "In this paper, we introduce a comprehensive grant-free random access scheme for machine-type communication which is characterized by massive connectivity and low latency. The scheme presented in here is comprehensive in a sense that, synchronization, channel estimation, and users identification & data detection (multi-user detection) are performed all in a single shot. The scheme employs compressive sensing by exploiting two sparse phenomena: sparsity in users activity and sparsity in multi-path channel. Furthermore, the scheme is designed in such a way that channel estimation and multi-user detection have a bi-directional mutual relationship, enabling one to reinforce the other for accurate detection and estimation. Moreover, the iterative order recursive least square (IORLS) estimation algorithm is modified & employed in such a way that it exploits the joint structure in multi-path channel and multi-user signal sparsity.",

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AB - In this paper, we introduce a comprehensive grant-free random access scheme for machine-type communication which is characterized by massive connectivity and low latency. The scheme presented in here is comprehensive in a sense that, synchronization, channel estimation, and users identification & data detection (multi-user detection) are performed all in a single shot. The scheme employs compressive sensing by exploiting two sparse phenomena: sparsity in users activity and sparsity in multi-path channel. Furthermore, the scheme is designed in such a way that channel estimation and multi-user detection have a bi-directional mutual relationship, enabling one to reinforce the other for accurate detection and estimation. Moreover, the iterative order recursive least square (IORLS) estimation algorithm is modified & employed in such a way that it exploits the joint structure in multi-path channel and multi-user signal sparsity.

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Comprehensive grant-free random access for massive & low latency communication

Abstract

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Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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