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Structured Massive Access for Scalable Cell-Free Massive MIMO Systems

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Document pages: 31 pages

Abstract: How to meet the demand for increasing number of users, higher data rates, andstringent quality-of-service (QoS) in the beyond fifth-generation (B5G)networks? Cell-free massive multiple-input multiple-output (MIMO) is consideredas a promising solution, in which many wireless access points cooperate tojointly serve the users by exploiting coherent signal processing. However,there are still many unsolved practical issues in cell-free massive MIMOsystems, whereof scalable massive access implementation is one of the mostvital. In this paper, we propose a new framework for structured massive accessin cell-free massive MIMO systems, which comprises one initial accessalgorithm, a partial large-scale fading decoding (P-LSFD) strategy, two pilotassignment schemes, and one fractional power control policy. New closed-formspectral efficiency (SE) expressions with maximum ratio (MR) combining arederived. The simulation results show that our proposed framework provides highSE when using local partial minimum mean-square error (LP-MMSE) and MRcombining. Specifically, the proposed initial access algorithm and pilotassignment schemes outperform their corresponding benchmarks, P-LSFD achievesscalability with a negligible performance loss compared to the conventionaloptimal large-scale fading decoding (LSFD), and scalable fractional powercontrol provides a controllable trade-off between user fairness and the averageSE.

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