TVU One Technology Analysis Based on the OSI Model
Modern broadcast contribution systems increasingly rely on IP-based architectures
to deliver live video over heterogeneous and unreliable networks.
TVU One is a representative implementation of this paradigm,
combining real-time media encoding with multipath IP transport.
This article presents a technical, layer-by-layer analysis of TVU One
using the OSI reference model, highlighting how intelligence
at upper layers compensates for instability at lower layers.
Layer 7 – Application Layer
At the application layer, TVU One implements the logic responsible for
live video contribution workflows.
This includes session control, stream lifecycle management,
adaptive bitrate decisions, and system monitoring.
Key functions include:
- Stream initiation and termination
- Dynamic bitrate and resolution adaptation
- Telemetry reporting (network quality, packet loss, latency)
- Remote management via cloud-based control platforms
This layer interacts closely with lower layers to form a feedback loop
essential for real-time performance.
Layer 6 – Presentation Layer
The presentation layer handles media representation and security.
Raw video signals received via HDMI or SDI are compressed using
H.264 (AVC) or H.265 (HEVC) codecs.
These codecs are configured for low-latency operation using
short GOP structures and real-time rate control.
In addition, this layer applies AES-based encryption
to protect both media and signaling data as they traverse public IP networks.
Layer 5 – Session Layer
The session layer maintains logical continuity between the field unit
and the receiver infrastructure.
Unlike traditional streaming systems, TVU One preserves sessions
even when individual network links are disrupted.
Responsibilities at this layer include:
- Session establishment and persistence
- Audio-video synchronization
- Graceful recovery from temporary disconnections
This behavior is critical for mobile broadcasting scenarios
where network conditions change rapidly.
Layer 4 – Transport Layer
The transport layer represents the core innovation of TVU One.
It employs a proprietary protocol known as
IS+ (Inverse Statistical Multiplexing),
designed specifically for live media transmission.
IS+ operates conceptually as a real-time, multipath transport protocol:
- Video packets are distributed across multiple IP paths
- Forward Error Correction (FEC) mitigates packet loss
- Selective retransmission improves reliability without excessive latency
- Packet reordering and jitter buffering ensure smooth playback
This approach avoids the head-of-line blocking inherent in TCP
while offering significantly higher robustness than raw UDP.
Layer 3 – Network Layer
At the network layer, TVU One operates over standard
IP (IPv4/IPv6) infrastructure.
Multiple network paths coexist simultaneously, each with distinct
latency and loss characteristics.
Logical IP tunnels abstract these heterogeneous paths into a single
virtual transport channel, enabling seamless multipath operation.
Layer 2 – Data Link Layer
The data link layer encompasses the technologies used to access
individual networks:
- LTE / 4G / 5G cellular MAC layers
- IEEE 802.11 Wi-Fi
- IEEE 802.3 Ethernet
Each link performs its own framing and error detection,
independent of the others.
Layer 1 – Physical Layer
The physical layer includes radio frequency transmission,
antennas, SIM modules, wired interfaces, and power systems.
This is the most unstable layer in mobile broadcasting,
subject to interference, mobility, and environmental conditions.
TVU One’s architecture explicitly assumes failure at this level
and compensates for it through higher-layer intelligence.
Cross-Layer Optimization
A defining characteristic of TVU One is its
cross-layer optimization strategy.
Information from the physical and network layers is continuously
fed back to the transport and application layers.
This enables real-time adaptation, making the system resilient
in environments traditionally hostile to live video transmission.
Conclusion
When analyzed through the OSI model, TVU One emerges as a
full-stack, software-defined broadcasting system.
Its design demonstrates how modern live video contribution
relies on intelligent transport protocols and adaptive control
rather than dedicated physical infrastructure.
Such architectures are increasingly relevant not only in broadcasting,
but also in sports technology, emergency communications,
and real-time IoT multimedia systems.

