Paper Info
Title
Joint Design of Channel Training and Data Transmission for MISO-URLLC Systems
Abstract
For the ultra-reliable low-latency communication (URLLC), the existing joint design algorithms of channel training and data transmission are not applicable due to the stringent reliability requirement and limited blocklength. To address this issue, we develop a low-complexity joint design framework for MISO communication based on the finite blocklength code (FBC). Specifically, an approximate bound of the packet error probability (PEP) is first derived and validated by practical modulation and coding schemes. It reveals the inherent tension between reliability, latency, and information bit number. Then, we formulate the joint design into a nonconvex optimization problem with the objective to maximize the information bit number. By exploiting the monotonicity of the PEP approximate bound, we provide closed-form solutions of power and blocklength allocation. Thereby, we develop a low-complexity algorithm to support the URLLC services aiming at the information bit number maximization. Furthermore, we investigate the joint designs to optimize the reliability, latency, and total energy, respectively, to fully meet the diverse demands of URLLC services. Finally, numerical results are provided to validate the proposed joint designs. The results show the outage capacity-based design severely underestimates the required wireless resources.
Year
DOI
Venue
2022
10.1109/TWC.2022.3168083
IEEE Transactions on Wireless Communications
Keywords
DocType
Volume
Channel training,data transmission,finite blocklength code,short packet,ultra-reliable low-latency communication (URLLC)
Journal
21
Issue
ISSN
Citations 
10
1536-1276
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Yichuan Lin100.34
Chao Shen21109.68
Yulin Hu316724.88
Bo Ai41581185.94
Zhangdui Zhong51577177.76