Efficient Evaluation of the Error Probability for Pilot-Assisted URLLC With Massive MIMO
Author:
Affiliation:
1. Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden
2. Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA
Funder
Swedish Research Council
National Science Foundation
European Union’s Horizon 2020 Research and Innovation Programme through the Marie Skłodowska-Curie
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Networks and Communications
Link
https://ieeexplore.ieee.org/ielam/49/10173687/10138403-aam.pdf
Reference20 articles.
1. Saddlepoint approximation of random-coding bounds
2. URLLC With Massive MIMO: Analysis and Design at Finite Blocklength
3. Saddlepoint approximations of lower and upper bounds to the error probability in channel coding
4. Fading channels: how perfect need "perfect side information" be?
5. Mismatched Decoding: Error Exponents, Second-Order Rates and Saddlepoint Approximations
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1. Pilot-Assisted URLLC Links: Impact of Synchronization Error;ICC 2024 - IEEE International Conference on Communications;2024-06-09
2. Closed-Form Approximation for Performance Bound of Finite Blocklength Massive MIMO Transmission;IEEE Transactions on Communications;2023-12
3. Differential Modulation for Short Packet Transmission in URLLC;IEEE Transactions on Wireless Communications;2023
4. Performance of Quantized Massive MIMO With Fronthaul Rate Constraint Over Quasi-Static Channels;IEEE Access;2023
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