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Link to original content: https://doi.org/10.48550/arXiv.2301.12804
[2301.12804] From ORAN to Cell-Free RAN: Architecture, Performance Analysis, Testbeds and Trials
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Computer Science > Information Theory

arXiv:2301.12804 (cs)
[Submitted on 30 Jan 2023 (v1), last revised 7 Feb 2023 (this version, v2)]

Title:From ORAN to Cell-Free RAN: Architecture, Performance Analysis, Testbeds and Trials

Authors:Yang Cao, Ziyang Zhang, Xinjiang Xia, Pengzhe Xin, Dongjie Liu, Kang Zheng, Mengting Lou, Jing Jin, Qixing Wang, Dongming Wang, Yongming Huang, Xiaohu You, Jiangzhou Wang
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Abstract:Open radio access network (ORAN) provides an open architecture to implement radio access network (RAN) of the fifth generation (5G) and beyond mobile communications. As a key technology for the evolution to the sixth generation (6G) systems, cell-free massive multiple-input multiple-output (CF-mMIMO) can effectively improve the spectrum efficiency, peak rate and reliability of wireless communication systems. Starting from scalable implementation of CF-mMIMO, we study a cell-free RAN (CF-RAN) under the ORAN architecture. Through theoretical analysis and numerical simulation, we investigate the uplink and downlink spectral efficiencies of CF-mMIMO with the new architecture. We then discuss the implementation issues of CF-RAN under ORAN architecture, including time-frequency synchronization and over-the-air reciprocity calibration, low layer splitting, deployment of ORAN radio units (O-RU), artificial intelligent based user associations. Finally, we present some representative experimental results for the uplink distributed reception and downlink coherent joint transmission of CF-RAN with commercial off-the-shelf O-RUs.
Subjects: Information Theory (cs.IT); Signal Processing (eess.SP)
Cite as: arXiv:2301.12804 [cs.IT]
  (or arXiv:2301.12804v2 [cs.IT] for this version)
  https://doi.org/10.48550/arXiv.2301.12804

Submission history

From: Dongming Wang [view email]
[v1] Mon, 30 Jan 2023 11:55:45 UTC (13,833 KB)
[v2] Tue, 7 Feb 2023 01:59:43 UTC (6,742 KB)
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