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Open Access

Reconfigurable intelligent surface assisted grant-free massive access

School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China
Advanced Research Institute of Multidisciplinary Sciences, Beijing Institute of Technology, Beijing 100081, China, and also with National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, China
Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Kingdom of Saudi Arabia
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Abstract

Massive machine-type communications (mMTC) is envisioned to be one of the pivotal scenarios in the fifth-generation (5G) wireless communication, where the explosively emerging Internet-of-Things (IoT) applications have triggered the demand for services with low-latency and high-reliability. To this end, grant-free random access paradigm has been proposed as a promising enabler in simplifying the connection procedure and significantly reducing access latency. In this paper, we propose to leverage the burgeoning reconfigurable intelligent surface (RIS) for grant-free massive access working at millimeter-wave (mmWave) frequency to further boost access reliability. By attaching independently controllable phase shifts, reconfiguring, and refracting the propagation of incident electromagnetic waves, the deployed RISs could provide additional diversity gain and enhance the access channel conditions. On this basis, to address the challenging active device detection (ADD) and channel estimation (CE) problem, we develop a joint-ADDCE (JADDCE) method by resorting to the existing approximate message passing (AMP) algorithm with expectation maximization (EM) to extract the structured common sparsity in traffic behaviors and cascaded channel matrices. Finally, simulations are carried out to demonstrate the superiority of our proposed scheme.

Keywords

reconfigurable intelligent surface (RIS)massive machine-type communications (mMTC)grant-free random access (GF-RA)active device detectionchannel estimationapproximate message passing (AMP)

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Intelligent and Converged Networks
Volume 3 Issue 1,
March 2022
Pages 134-143
DOI: 10.23919/ICN.2022.0009
Cite this article:
Zhou X, Ying K, Liu S, et al. Reconfigurable intelligent surface assisted grant-free massive access . Intelligent and Converged Networks, 2022, 3(1): 134-143. https://doi.org/10.23919/ICN.2022.0009

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Published: 30 March 2022
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