Solutions · 03

TCP Optimization for Mobile Operators

More capacity from the network you already have. Without touching a single handset.

What it is

Why a fast network still feels slow at peak hours.

Most traffic runs over TCP, and TCP only learns about congestion once packets are already queuing or being dropped. At peak hours, big downloads and updates fill the queues, so a video call or a game waits in the same line as a software update. The subscriber experiences a slow connection, even though on paper the link still has capacity.

Our TCP optimisation layer sits in the traffic path, as software. It keeps queues short, paces the heavy flows and gives real-time traffic the front of the line, so the same link serves more users with a better experience. No client software, no handset changes, no router swap at the subscriber's home.

Live

Same network. Smarter traffic.

Application-aware shaping in the traffic path. Nothing to install on handsets.

  • VoIP
  • Web
  • Updates
  • Video
Bottleneck
Call latency–
Packet loss–
Congestion–
What it does

Four capabilities, one faster network.

Four pieces work together. TCP tuning keeps transfers moving, active queue management stops delay from building up, the automatic controller adapts to the link as conditions change, and DPI recognises each application so it can be treated accordingly.

BeforeAfter
TCP

Faster transfers

Fills the pipe instead of stalling it.

AQM

Short queues

Keeps delay low even at full load.

Target zone
ACM

Self-tuning

Learns the link and corrects in real time.

DPI

App-aware priority

Calls and games first, updates can wait.

Latency under load

The score your customers see.

Bufferbloat is the extra delay you feel when a link is busy: a call stutters while someone downloads a file. Public bufferbloat tests turn it into a letter grade, and it is one of the clearest ways to see what the optimisation does.

D
Bufferbloat grade
Idle12 ms
While downloading+96 ms
While uploading+142 ms

Example values for a typical congested link. Your own network is measured in a real trial.

Capacity

More subscribers per access point.

When traffic is shaped by application and by where it sits in the network, a congested access point or port can carry more subscribers before anyone notices a slowdown. That means growing without an immediate upgrade, and less pressure on upstream and backhaul.

  • No extra network spend
  • Lower upstream and backhaul cost
  • The same quality for every subscriber
Subscribers per access point100%
Active users per access point +10%
Peak-hour congestion events −30%
Upstream & backhaul cost pressure Deferred

Illustrative figures for this technology category, based on publicly documented results. A real deployment is modelled on your own network data.

Visibility

See where your network congests, as it happens.

Because the layer sees every flow, it also shows you what is happening: which access points are close to congestion, which applications are using the link and which subscriber is having the worst time. Support can start from facts instead of guesswork.

  • Real-time DPI
  • Most congested access points and ports
  • The subscriber with the worst experience
Most congested point AP-17 · 92%
Use cases

Where it makes the difference.

The same technology adapts to the type of network. These are the scenarios where congestion shows up first.

Wireless ISPs

Situation

Dozens of users share each access point, and the evening peak turns video calls into stutter.

What changes

Traffic is shaped per access point and per application: calls stay clear and each point carries more subscribers.

Fibre networks

Situation

A busy OLT port saturates long before the fibre is full.

What changes

Shaping by network topology keeps ports out of congestion, so each one serves more customers.

Mobile operators and MVNOs

Situation

Busy cells and expensive backhaul at peak hours.

What changes

Heavy flows are paced and real-time traffic goes first, which defers the next capacity upgrade.

Remote and satellite links

Situation

Long delays and scarce bandwidth make standard TCP slow.

What changes

TCP tuning and queue control make better use of every megabit on the link.

Feeling the pressure at peak hours?

Let's model the capacity you can recover before you buy more.

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