Rights statement: ©2022 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Accepted author manuscript, 5.13 MB, PDF document
Available under license: CC BY-NC: Creative Commons Attribution-NonCommercial 4.0 International License
Final published version
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
}
TY - JOUR
T1 - Futuristic 6G Pervasive On-Demand Services
T2 - Integrating Space Edge Computing With Terrestrial Networks
AU - Lai, Zeqi
AU - Li, Hewu
AU - Wu, Qian
AU - Ni, Qiang
AU - Lv, Mingyang
AU - Li, Jihao
AU - Wu, Jianping
AU - Liu, Jun
AU - Li, Yuanjie
N1 - ©2022 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
PY - 2023/3/31
Y1 - 2023/3/31
N2 - Futuristic 6G technologies will integrate emerging low-Earth orbit (LEO) megaconstellations into terrestrial networks, promising to provide ubiquitous, low-latency and high-throughput network services on-demand. However, several unique characteristics of satellites (e.g., high dynamics and error-prone operational environments) make it very challenging to unleash the potential of megacons-tellations and accomplish these aforementioned promises.
AB - Futuristic 6G technologies will integrate emerging low-Earth orbit (LEO) megaconstellations into terrestrial networks, promising to provide ubiquitous, low-latency and high-throughput network services on-demand. However, several unique characteristics of satellites (e.g., high dynamics and error-prone operational environments) make it very challenging to unleash the potential of megacons-tellations and accomplish these aforementioned promises.
KW - Automotive Engineering
U2 - 10.1109/mvt.2022.3221391
DO - 10.1109/mvt.2022.3221391
M3 - Journal article
VL - 18
SP - 2
EP - 11
JO - IEEE Vehicular Technology Magazine
JF - IEEE Vehicular Technology Magazine
SN - 1556-6072
IS - 1
ER -