Differential Modulation for Short Packet Transmission in URLLC
Canjian Zheng, Fu-Chun Zheng, Jingjing Luo, Pengcheng Zhu, Xiaohu You,, Daquan Feng

TL;DR
This paper proposes differential modulation combined with multi-connectivity to enhance short packet transmission in URLLC, reducing overhead and improving reliability in high Doppler environments.
Contribution
It introduces a differential modulation scheme with multi-connectivity for URLLC, deriving theoretical bounds and demonstrating performance gains over traditional schemes.
Findings
Differential modulation reduces pilot overhead in SPT.
Multi-connectivity enhances diversity gain.
Significant performance improvement in high Doppler environments.
Abstract
One key feature of ultra-reliable low-latency communications (URLLC) in 5G is to support short packet transmission (SPT). However, the pilot overhead in SPT for channel estimation is relatively high, especially in high Doppler environments. In this paper, we advocate the adoption of differential modulation to support ultra-low latency services, which can ease the channel estimation burden and reduce the power and bandwidth overhead incurred in traditional coherent modulation schemes. Specifically, we consider a multi-connectivity (MC) scheme employing differential modulation to enable URLLC services. The popular selection combining and maximal ratio combining schemes are respectively applied to explore the diversity gain in the MC scheme. A first-order autoregressive model is further utilized to characterize the time-varying nature of the channel. Theoretically, the maximum achievable…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsWireless Communication Security Techniques · Wireless Body Area Networks · Advanced Wireless Communication Technologies
