Withdraw
Loading…
ENABLING WIRELESS OFFLOADING FOR HEAD TRACKING IN AN EXTENDED REALITY (XR) SYSTEM
Bhamidipati, Aksha
Loading…
Permalink
https://hdl.handle.net/2142/114981
Description
- Title
- ENABLING WIRELESS OFFLOADING FOR HEAD TRACKING IN AN EXTENDED REALITY (XR) SYSTEM
- Author(s)
- Bhamidipati, Aksha
- Issue Date
- 2022-05
- Keyword(s)
- Virtual reality, Extended Reality, millimeter wave, Access Point
- Abstract
- With the rise of the metaverse, VR/XR (Virtual Reality/Extended Reality) as a technology has become significantly more prevalent. This has led to several paradigms in terms of distributing computing power with many modern VR concepts either performing all computation directly from the headset or engaging in offloading to an edge computer where data is streamed to the cloud, processed, and sent back. Adding another layer of granularity, streaming the data to the cloud can be done by either a wired connection such as an ethernet/HDMI cable or through a wireless link which, despite the slightly increased latency, eliminates problems such as limited mobility due to wires. Looking closer at the wireless approach, there are several more ways in which these networks can be configured, especially though the use of millimeter wave technology as opposed to Wi-Fi. Compared to traditional Wi-Fi, mmWave signals offer wider bandwidth and consequently greater throughput, in turn allowing for a more seamless virtual experience with high resolution XR feeds from the edge server at low latencies. We therefore explore a different direction for the streaming of XR traffic: utilizing emerging millimeter wave networks which introduce unprecedented bandwidth improvements that contribute to increased throughput and allow for streaming high resolution XR video. Focusing on achieving the best combination of low-latency and high throughput, we implement a network of one 60 GHz Mikrotik wAP and one 60x3 GHz Mikrotik wAP to simulate passing of data between the XR headset and offloading edge server.
- Type of Resource
- text
- Language
- en
- Handle URL
- https://hdl.handle.net/2142/114981
Owning Collections
Senior Theses - Electrical and Computer Engineering PRIMARY
The best of ECE undergraduate researchManage Files
Loading…
Edit Collection Membership
Loading…
Edit Metadata
Loading…
Edit Properties
Loading…
Embargoes
Loading…