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Lars Ernström

Publications and source records attributed to Lars Ernström.

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Quantifying QoE-Aware Resource Sharing Potential Under Time-variant Spatial Complexity

The spatial complexity of real-time interactive video varies significantly within a single session, not only across different content types. This renders static resource allocation inadequate in our scenario: even with oracle knowledge of each session's average content complexity, static methods cannot guarantee acceptable picture quality. Using second-by-second oracle spatial complexity knowledge as a deliberate upper-bound methodology, we quantify the potential of dynamic QoE-aware resource sharing through a utility-based framework. In our scenario of 30 concurrent cloud gaming sessions sharing a bottleneck link, dynamic allocation guarantees acceptable quality (VMAF>=50) for all sessions at 35 Mbps, while no static method achieves this even at 100 Mbps. The framework makes allocation policy explicit and tunable, replacing rigid equalization that degrades all sessions when resources are scarce.

cs.NI

Prototyping QoE-Aware Rate Adaptation in Cellular Networks with Commercial Applications

Prior work has shown that QoE-aware resource sharing for real-time interactive video can support up to three times more simultaneous sessions at acceptable quality compared to rate-fair allocation. However, the required capabilities (QoE-targeted encoding, runtime spatial complexity estimation, and rich application-network APIs) are not yet available in commercial deployments. In this paper, we take an evolutionary approach: we design a system that delivers QoE-aware resource allocation using only capabilities that can be assembled in a lab today. We extend the utility-based allocation framework to the radio resource domain by introducing composite spatial complexity, which combines a session's video spatial complexity with its time-variant spectral efficiency into a single resource demand function. To operate with commercial real-time video streaming applications that use rate-based congestion control and lack capability to measure QoE, we use external tooling for QoE measurements. We develop an incremental reallocation algorithm with per-interval limits that encode both the congestion control algorithm's speed constraint and that spatial complexity estimates are reliable only near the current rate. The resulting prototype combines external QoE measurements with congestion-signal-based rate steering and does not require modification to commercial applications. We chart an evolution path from this prototype toward full QoE-aware resource sharing, mapping emerging standards (IETF SCONE, CAMARA, Media over QUIC) to the progressive capabilities they enable.

cs.NI

Contact Cohomology of the Projective Plane

We construct an associative ring which is a deformation of the quantum cohomology ring of the projective plane. Just as the quantum cohomology encodes the incidence characteristic numbers of rational plane curves, the contact cohomology encodes the tangency characteristic numbers.

alg-geom