Out of reach: how mobile operators use
Posted: Wed Jan 08, 2025 3:31 am
The importance of next-generation mobile networks, including 5G, is growing worldwide. Multimedia applications, instant payments, digital healthcare, smart cities and factories, and autonomous transport will all benefit from increased network capacity.
But operators cannot cover the needs of all users at once. They are forced to choose between connection quality and marginality. Anton Davidovsky, Solution Architect at Broadcom Inc., explains how usa telegram artificial intelligence helps operators optimize traffic and reduce costs.
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Content:
How Mobile Networks Work
What role do algorithms play in traffic management?
Dynamic 5G Network Slicing
Network planning
Energy management
Predictive maintenance
How AI is being used to monitor fires and find criminals
The Future of Technology in Telecom
How Mobile Networks Work
Mobile operators today provide their customers with different levels of service (Quality of Service, or QoS).
The quality of the connection depends on a combination of several parameters:
bandwidth - the permissible speed of data transfer between devices on the network;
delay - the time required for a packet to be transmitted from the sender to the recipient;
Packet loss is a measure of what percentage of packets do not reach their destination;
jitter is the variation in delay time.
A typical service level agreement (SLA) specifies these parameters, for example, that the delivery delay of 95% of packets should not exceed 1 ms. If the terms of the agreement are violated, the operator pays compensation to the client.
There is also an alternative approach to QoS - users are provided with the widest and most productive channels, which are sufficient for any applications. In practice, it becomes unprofitable for providers: the costs of equipment and communication channels are too high.
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Operators are also tired of being a "pipe" for network traffic and are looking for new sources of revenue that are less dependent on infrastructure investment.
But operators cannot cover the needs of all users at once. They are forced to choose between connection quality and marginality. Anton Davidovsky, Solution Architect at Broadcom Inc., explains how usa telegram artificial intelligence helps operators optimize traffic and reduce costs.
Subscribe to RB.RU in Telegram
Content:
How Mobile Networks Work
What role do algorithms play in traffic management?
Dynamic 5G Network Slicing
Network planning
Energy management
Predictive maintenance
How AI is being used to monitor fires and find criminals
The Future of Technology in Telecom
How Mobile Networks Work
Mobile operators today provide their customers with different levels of service (Quality of Service, or QoS).
The quality of the connection depends on a combination of several parameters:
bandwidth - the permissible speed of data transfer between devices on the network;
delay - the time required for a packet to be transmitted from the sender to the recipient;
Packet loss is a measure of what percentage of packets do not reach their destination;
jitter is the variation in delay time.
A typical service level agreement (SLA) specifies these parameters, for example, that the delivery delay of 95% of packets should not exceed 1 ms. If the terms of the agreement are violated, the operator pays compensation to the client.
There is also an alternative approach to QoS - users are provided with the widest and most productive channels, which are sufficient for any applications. In practice, it becomes unprofitable for providers: the costs of equipment and communication channels are too high.
Set up your subscription to RB.RU
Operators are also tired of being a "pipe" for network traffic and are looking for new sources of revenue that are less dependent on infrastructure investment.