TY - GEN
T1 - Performance Evaluation of Dynamic Computation Offloading Capability for Industrial Wearables
AU - Ali, Asad
AU - Galinina, Olga
AU - Hosek, Jiri
AU - Andreev, Sergey
N1 - Funding Information:
ACKNOWLEDGMENT This work is supported by EU Marie Skłodowska-Curie (project A-WEAR 813278) and the Academy of Finland (projects CROWN 317533 and IDEA-MILL 335935).
Publisher Copyright:
© 2021 IEEE.
jufoid=57448
PY - 2021
Y1 - 2021
N2 - Extended Reality (XR) is a disruptive technology that will play an essential role in future society by creating an immersive human-machine interface. For their mass adoption, XR head-mounted devices have to be made light and sleek in design, which may require distributed computing capabilities, where high-end devices wirelessly offload computational tasks to the accompanying processing units. To satisfy demanding wireless connectivity requirements of the emerging XR applications, the devices are expected to rely on radio technologies that operate in millimeter-wave (mmWave) frequency range and require directional transmission. In this paper, we evaluate a dynamic system of distributed 3D wearable networks operating in the mmWave band. We provide closed-form expressions for the session drop probability, the mean number of sessions that can run simultaneously, and its lower bound, which aid in understanding the impact of different parameters on the coexistence of dense directional wearable networks in the 3D space.
AB - Extended Reality (XR) is a disruptive technology that will play an essential role in future society by creating an immersive human-machine interface. For their mass adoption, XR head-mounted devices have to be made light and sleek in design, which may require distributed computing capabilities, where high-end devices wirelessly offload computational tasks to the accompanying processing units. To satisfy demanding wireless connectivity requirements of the emerging XR applications, the devices are expected to rely on radio technologies that operate in millimeter-wave (mmWave) frequency range and require directional transmission. In this paper, we evaluate a dynamic system of distributed 3D wearable networks operating in the mmWave band. We provide closed-form expressions for the session drop probability, the mean number of sessions that can run simultaneously, and its lower bound, which aid in understanding the impact of different parameters on the coexistence of dense directional wearable networks in the 3D space.
U2 - 10.1109/PIMRC50174.2021.9569484
DO - 10.1109/PIMRC50174.2021.9569484
M3 - Conference contribution
AN - SCOPUS:85118460353
T3 - IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC
BT - 2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2021
PB - IEEE
T2 - IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications
Y2 - 13 September 2021 through 16 September 2021
ER -