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Abstract
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The emerging 5G and 6G networks feature a wide range of real-time applications, such as vehicular communication and industrial metaverse. Short packet communication plays a key role in the real-time applications, where many data in exchange are of limited size. While favoring low latency, short packet communication strikes significant challenges in maintaining ultra high reliability required by real-time 5G/6G applications. In this lecture, a number of recent research developments on short packet communication are presented.
First, high-reliability receiver design in a semi-blind manner is presented for short packet communication with strong interference in two different systems. For a downlink non-orthogonal multiple access (NOMA) system, a receiver structure based on independent component analysis is presented, which achieves a robust and near-optimal performance without successive interference cancelation required. For a high- mobility multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) system, a hierarchical basis expansion model based channel estimation scheme is proposed, which achieves a significant reduction in pilot overhead and computational complexity.
Second, resource allocation is presented to enhance the key performances of short packet communication, including throughput, latency and reliability. The tradeoff between pilot overhead and pilot power is investigated for short packet communication under high mobility, through joint optimization of block length, pilot length and pilot power. Furthermore, joint allocation of block length, subchannels and power is presented for a vehicle-to-everything (V2X) based platoon system, with the assistance of dynamic manager selection. A near-optimal performance in terms of groupcast latency and a significant complexity reduction over exhaustive search are achieved.
Last but not least, age of information (AoI) oriented short packet communication is presented for the co-design of coupled communication, sensing and control systems, where AoI is a measure of information freshness and also reflects both latency and reliability. Status prediction and proactive transmission termination in case of prediction error is employed in sensing-communication co-design, which is shown to outperform the no prediction case in terms of AoI, even under a prediction error probability of 50%. Furthermore, the closed-loop AoI for wireless networked control systems, referred to as age of loop (AoL), is introduced with a comprehensive performance analysis, and shown to enable an 8-fold reduction in control cost.
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Bio
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 https://mail.google.com/mail/u/0?ui=2&ik=74ec845af9&attid=0.1.0.3&permm…" style="width:129px; height:177px" />Xu (Judy) Zhu received the BEng degree in Electronics and Information Engineering from Huazhong University of Science and Technology, Wuhan, China, and the PhD degree in Electrical and Electronic Engineering from the Hong Kong University of Science and Technology, Hong Kong, China. She was a Reader of the Department of Electrical Engineering and Electronics, the University of Liverpool, Liverpool, UK. She is currently a Professor of the School of Electronic and Information Engineering, Harbin Institute of Technology, Shenzhen, China. Her research interests include MIMO, channel estimation and equalization, ultra reliable low latency communication, full duplex communication, cooperative communication, green communication, etc. She has co-authored 2 books and more than 240 technical papers, and received a Best Paper Award of IEEE Globecom 2019. She is a Distinguished Lecturer of the IEEE Vehicular Technology Society. She has served as an Editor for the IEEE Transactions on Wireless Communications and a Guest Editor for several international journals such as Electronics. She has acted as a chair for various international conferences, including Program Chair of ICSAI 2012, Symposium Co-Chair of IEEE ICC 2016, ICC 2019 and Globecom 2021, Track Co-Chair of IEEE WCNC 2022, etc.
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