TY - JOUR
T1 - Orthogonal Time Frequency Space and Predictive Beamforming-Enabled URLLC in Vehicular Networks
AU - YUAN, Weijie
AU - ZOU, Jiaqi
AU - CUI, Yuanhao
AU - LI, Xinyu
AU - MU, Junsheng
AU - HAN, Kaifeng
N1 - This work is supported in part by National Natural Science Foundation of China under Grant 62101232, in part by the Guangdong Provincial Natural Science Foundation under Grant 2022A1515011257, and in part by the Shenzhen Science and Technology Program JCYJ20220530114412029.
PY - 2023/4
Y1 - 2023/4
N2 - To fulfill the requirements of future intelligent transportation system in 6G era, ultra-reliable and low-latency vehicular communications is of great importance. In high-mobility scenarios, the conventional orthogonal frequency division multiplexing (OFDM) modulation may fail to work due to high Doppler spreads. Moreover, the dynamic network topology imposes challenges on aligning the beams in multiple antenna systems. In this context, this article introduces a new orthogonal time frequency space (OTFS) and sensing-assisted predictive beamforming framework for supporting reliable and low-latency vehicular communications. In particular, we will first overview the OTFS modulation scheme, which performs data transmission in the delay-Doppler (DD) domain and discuss its superiority in improving communication reliability in vehicular networks. Then the sensing-assisted predictive beamforming scheme will be introduced, which does not rely on dedicated pilots for beam pairing, leading to very low overhead and latency. Benefiting from the DD channel representation, we briefly discuss the potential of channel prediction. Lastly, the challenges and future research directions are summarized.
AB - To fulfill the requirements of future intelligent transportation system in 6G era, ultra-reliable and low-latency vehicular communications is of great importance. In high-mobility scenarios, the conventional orthogonal frequency division multiplexing (OFDM) modulation may fail to work due to high Doppler spreads. Moreover, the dynamic network topology imposes challenges on aligning the beams in multiple antenna systems. In this context, this article introduces a new orthogonal time frequency space (OTFS) and sensing-assisted predictive beamforming framework for supporting reliable and low-latency vehicular communications. In particular, we will first overview the OTFS modulation scheme, which performs data transmission in the delay-Doppler (DD) domain and discuss its superiority in improving communication reliability in vehicular networks. Then the sensing-assisted predictive beamforming scheme will be introduced, which does not rely on dedicated pilots for beam pairing, leading to very low overhead and latency. Benefiting from the DD channel representation, we briefly discuss the potential of channel prediction. Lastly, the challenges and future research directions are summarized.
UR - http://www.scopus.com/inward/record.url?scp=85156119189&partnerID=8YFLogxK
U2 - 10.1109/MWC.005.2200408
DO - 10.1109/MWC.005.2200408
M3 - Journal Article (refereed)
AN - SCOPUS:85156119189
SN - 1536-1284
VL - 30
SP - 56
EP - 62
JO - IEEE Wireless Communications
JF - IEEE Wireless Communications
IS - 2
ER -