arXiv subjects

Ferran Maura

Publications and source records attributed to Ferran Maura.

3 recordsLinked to original sources

arXiv2026

Evaluating Wi-Fi Performance for VR Streaming: A Study on Realistic HEVC Video Traffic

Cloud-based Virtual Reality (VR) streaming presents significant challenges for 802.11 networks due to its high throughput and low latency requirements. When multiple VR users share a Wi-Fi network, the resulting uplink and downlink traffic can quickly saturate the channel. This paper investigates the capacity of 802.11 networks for supporting realistic VR streaming workloads across varying frame rates, bitrates, codec settings, and numbers of users. We develop an emulation framework that reproduces Air Light VR (ALVR) operation, where real HEVC video traffic is fed into an 802.11 simulation model. Our findings explore Wi-Fi's performance anomaly and demonstrate that Intra-refresh (IR) coding effectively reduces latency variability and improves QoS, supporting up to 4 concurrent VR users with Constant Bitrate (CBR) 100 Mbps before the channel is saturated.

cs.NI↗

arXiv2025

NeSt-VR: An Adaptive Bitrate Algorithm for Wireless Virtual Reality Streaming

Interactive Virtual Reality (VR) streaming over wireless links requires both high frame rates and low motion-to-photon latency, requirements that are difficult to sustain under changing channel conditions such as fluctuating bandwidth and multi-user contention. Adaptive BitRate (ABR) control is therefore essential, as it dynamically adjusts the encoded bitrate in response to network conditions to maintain smooth interactive video delivery. In this paper, we present NeSt-VR, the Network-aware Step-wise ABR algorithm for VR streaming, a configurable controller that uses application-level frame-delivery and frame-delay feedback to adjust the encoder target bitrate in discrete steps, reducing abrupt bitrate oscillations while supporting a satisfactory interactive VR user experience. We evaluate NeSt-VR through Wi-Fi experiments against state-of-the-art ABR baselines, including GCC, NADA, and EVeREst-Intra. The evaluation covers single-user and multi-user scenarios and common Wi-Fi challenges such as co-channel interference and capacity fluctuations. The results show that NeSt-VR effectively manages bandwidth variation, maintains frame delivery and low latency, and compares favorably with the baseline controllers in the evaluated scenarios.

cs.NI↗

arXiv2024

Experimenting with Adaptive Bitrate Algorithms for Virtual Reality Streaming over Wi-Fi

Interactive Virtual Reality (VR) streaming over Wi-Fi networks encounters significant challenges due to bandwidth fluctuations caused by channel contention and user mobility. Adaptive BitRate (ABR) algorithms dynamically adjust the video encoding bitrate based on the available network capacity, aiming to maximize image quality while mitigating congestion and preserving the user's Quality of Experience (QoE). In this paper, we experiment with ABR algorithms for VR streaming using Air Light VR (ALVR), an open-source VR streaming solution. We extend ALVR with a comprehensive set of metrics that provide a robust characterization of the network's state, enabling more informed bitrate adjustments. To demonstrate the utility of these performance indicators, we develop and test the Network-aware Step-wise ABR algorithm for VR streaming (NeSt-VR). Results validate the accuracy of the newly implemented network performance metrics and demonstrate NeSt-VR's video bitrate adaptation capabilities.

cs.NI↗