Publication: A finite-blocklength analysis for URLLC with Massive MIMO
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2021-06-14
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IEEE
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Abstract
This paper presents a rigorous finite-blocklength framework for the characterization and the numerical evaluation of the packet error probability achievable in the uplink and downlink of Massive MIMO for ultra-reliable low-latency communications (URLLC). The framework encompasses imperfect channel-state information, pilot contamination, spatially correlated channels, and arbitrary linear signal processing. For a practical URLLC network setup involving base stations with M = 100 antennas, we show by means of numerical results that a target error probability of 10 −5 can be achieved with MMSE channel estimation and multicell MMSE signal processing, uniformly over each cell, only if orthogonal pilot sequences are assigned to all the users in the network. For the same setting, an alternative solution with lower computational complexity, based on least-squares channel estimation and regularized zero-forcing signal processing, does not suffice unless M is increased significantly.
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Proceedings of: IEEE International Conference on Communications (ICC 2021), 14-23 June 2021, Montreal, Canada.
Keywords
Error probability, Estimation, Channel estimation, Massive MIMO, Signal processing, Ultra reliable low latency communication, Uplink
Bibliographic citation
Lancho, A., Östman, J., Durisi, G. & Sanguinetti, L. (14-23 June 2021). A finite-blocklength analysis for URLLC with Massive MIMO [proceedings]. IEEE International Conference on Communications, Montreal, Canada.