HARQ-Assisted Grant-Free Access Scheme in Cell-Free Massive MIMO System
To mitigate the delay caused by large-scale devices access, the grant-free (GF) technology has been widely used in massive Ultrareliable-Low-Latency Communications (mURLLCs). However, the absence of a grant-based scheduling handshake with the base station leads to significant collisions when different users select the same resources, thereby compromising the reliability of the communication. To improve the reliability of the network, we propose a GF scheme assisted by hybrid automatic repeat request (HARQ) in Cell-Free massive Multiple Input-Multiple Output (CF mMIMO) system. Distinct from the traditional HARQ strategies employed in centralized cellular system, the proposed scheme first clusters user devices and access points based on Poisson cluster process (PCP) spatial distribution characteristics, and then fully exploits the macro diversity gain and spatial sparsity of the CF mMIMO system, effectively mitigating the impact of interference on the communication between devices. Subsequently, the HARQ strategy is introduced, and its round-trip delay is analyzed to achieve the maximum number of retransmissions under delay constraints. To further validate the effectiveness of the proposed scheme, the closed-form expression of uplink signal to interference plus noise ratio (SINR) with maximal ratio combining (MRC) receiver is deduced as well as the approximate outage probability expression. Finally, simulation results confirm the precision of the derived expressions and the enhancement of the proposed scheme on system reliability under stringent latency constraints.
Authors
- Chenyu Zhang (ORCID: https://orcid.org/0009-0004-9768-0328)
- Pengcheng Zhu (ORCID: https://orcid.org/0000-0001-9867-7041)
- Xiaohu You (ORCID: https://orcid.org/0000-0002-0809-8511)
- Jiamin Li (ORCID: https://orcid.org/0000-0002-4527-3147)
- Dongming Wang (ORCID: https://orcid.org/0000-0003-2762-6567)
- Jie Wang (ORCID: https://orcid.org/0000-0002-6126-5120)
Institutions
- Southeast University (CN)
Publication Details
- Journal
- IEEE Internet of Things Journal
- Published
- 2024-09-30
- DOI
- https://doi.org/10.1109/jiot.2024.3470771
- Citations
- 6
- Primary Topic
- Advanced MIMO Systems Optimization
- Type
- article
- Field-Weighted Citation Impact
- 1.25