Joint Active User Detection, Channel Estimation, and Data Detection for Massive Grant-Free Transmission in Cell-Free Systems
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Date
2023-09
Publication Type
Conference Paper
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yes
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Abstract
Cell-free communication has the potential to significantly improve grant-free transmission in massive machine-type communication, wherein multiple access points jointly serve a large number of user equipments to improve coverage and spectral efficiency. In this paper, we propose a novel framework for joint active user detection (AUD), channel estimation (CE), and data detection (DD) for massive grant-free transmission in cell-free systems. We formulate an optimization problem for joint AUD, CE, and DD by considering both the sparsity of the data matrix, which arises from intermittent user activity, and the sparsity of the effective channel matrix, which arises from intermittent user activity and large-scale fading. We approximately solve this optimization problem with a box-constrained forward-backward splitting algorithm, which significantly improves AUD, CE, and DD performance. We demonstrate the effectiveness of the proposed framework through simulation experiments.
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published
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Book title
2023 IEEE 24th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
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Pages / Article No.
406 - 410
Publisher
IEEE
Event
24th IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC 2023)
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Organisational unit
09695 - Studer, Christoph / Studer, Christoph
Notes
Conference lecture on September 27, 2023