Abstract | ||
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How to meet the demand for increasing number of users, higher data rates, and stringent quality-of-service (QoS) in the beyond fifth-generation (B5G) networks? Cell-free massive multiple-input multiple-output (MIMO) is considered as a promising solution, in which many wireless access points cooperate to jointly serve the users by exploiting coherent signal processing. However, there are still many unsolved practical issues in cell-free massive MIMO systems, whereof scalable massive access implementation is one of the most vital. In this paper, we propose a new framework for structured massive access in cell-free massive MIMO systems, which comprises one initial access algorithm, a partial large-scale fading decoding (P-LSFD) strategy, two pilot assignment schemes, and one fractional power control policy. New closed-form spectral efficiency (SE) expressions with maximum ratio (MR) combining are derived. The simulation results show that our proposed framework provides high SE when using local partial minimum mean-square error (LP-MMSE) and MR combining. Specifically, the proposed initial access algorithm and pilot assignment schemes outperform their corresponding benchmarks, P-LSFD achieves scalability with a negligible performance loss compared to the conventional optimal large-scale fading decoding (LSFD), and scalable fractional power control provides a controllable trade-off between user fairness and the average SE. |
Year | DOI | Venue |
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2021 | 10.1109/JSAC.2020.3018836 | IEEE Journal on Selected Areas in Communications |
Keywords | DocType | Volume |
Beyond 5G network,cell-free massive MIMO,massive access,AP selection,pilot assignment,user-centric network | Journal | 39 |
Issue | ISSN | Citations |
4 | 0733-8716 | 9 |
PageRank | References | Authors |
0.45 | 0 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Shuaifei Chen | 1 | 26 | 5.09 |
Jiayi Zhang | 2 | 911 | 74.44 |
Emil Björnson | 3 | 3446 | 171.49 |
jing zhang | 4 | 15 | 1.89 |
Bo Ai | 5 | 1581 | 185.94 |