Pilot Overhead vs. Pilot Power: Short Packet Structure Optimization for URLLC over Continuous Fading

We investigate how to strike the balance between pilot overhead and pilot power for short packet ultra reliable and low latency communication (URLLC) systems under continuous fading, as the previous work has not considered the joint impact of pilot overhead and pilot power on the system throughput a...

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Bibliographic Details
Published in2021 IEEE Global Communications Conference (GLOBECOM) pp. 01 - 06
Main Authors Liu, Xiayue, Zhu, Xu, Jiang, Yufei, Cao, Jie
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2021
Subjects
Boosting
Closed-form solutions
Complexity theory
continuous fading
Fading channels
joint optimization
Peak to average power ratio
pilot power boosting
short packet communication
Throughput
ultra reliable and low latency communication
Ultra reliable low latency communication
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Summary:We investigate how to strike the balance between pilot overhead and pilot power for short packet ultra reliable and low latency communication (URLLC) systems under continuous fading, as the previous work has not considered the joint impact of pilot overhead and pilot power on the system throughput and has assumed block fading only. It is revealed that, at low to moderate signal to noise ratio (SNR) or in continuous fading, pilot power boosting can reduce pilot overhead and improve throughput significantly, and that at high SNR, pilot overhead plays a dominant role in enhancing the throughput while maintaining a low peak to average power ratio. For throughput formulation, a closed-form expression for the asymptotic block error probability under continuous fading is derived with respect to pilot power, pilot length and block length. And for throughput maximization, the near-optimal pilot power and the near-optimal block length are given in closed form by solving complicated transcendental equations. Based on the analysis, a low-complexity joint pilot power, pilot length and block length optimization (JPLLO) algorithm is proposed, which achieves a near-optimal performance and a dramatic complexity reduction compared to exhaustive search, converging within only 1-3 iterations. The JPLLO algorithm also significantly outperforms the previous joint optimization algorithm under continuous fading.
DOI:10.1109/GLOBECOM46510.2021.9685410