Performance Evaluation of Dynamic Computation Offloading Capability for Industrial Wearables
Ali, Asad; Galinina, Olga; Hosek, Jiri; Andreev, Sergey (2021)
Ali, Asad
Galinina, Olga
Hosek, Jiri
Andreev, Sergey
IEEE
2021
2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2021
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:tuni-202112149212
https://urn.fi/URN:NBN:fi:tuni-202112149212
Kuvaus
Peer reviewed
Tiivistelmä
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.
Kokoelmat
- TUNICRIS-julkaisut [18544]