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TR 22.805 (SA1)
Feasibility study on
User Plane Congestion Management

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(W-zip) V12.1.0    2012/12    36 p.


Rapporteur:  Mr. Visser, John
See also:  User-Plane-Congestion-Management-related TS/TR    


Mobile operators are seeing significant increases in user data traffic. For some operators, user data traffic has more than doubled annually for several years. Although the data capacity of networks has increased significantly, the observed increase in user traffic continues to outpace the growth in capacity. This is resulting in increased network congestion and in degraded user service experience. Reasons for this growth in traffic include the rapidly increasing use of "smart phones" and the proliferation of data applications that they support, and the use of USB modem dongles for laptops to provide mobile or nomadic Internet access using 3GPP networks. As the penetration of these terminals increases worldwide, this trend of rapidly increasing data traffic is expected to continue and possibly accelerate.

Network operators continue to invest in additional network capacity (network entities and connectivity resources) attempting to cope with user data traffic increases that cause user plane congestion. This additional investment is becoming increasingly costly due to the rapid and continuing increases in user data traffic. From a CAPEX or OPEX perspective, this approach is not sufficient. In addition, existing QoS and PCC mechanisms are being deployed but the full effect is still to be seen. It is therefore necessary to study approaches and mechanisms to manage user plane congestion.

This TR considers scenarios and use cases where high usage levels lead to user plane traffic congestion in the RAN, and proposes requirements for handling user plane traffic when RAN congestion occurs. The aim is to make efficient use of available resources to increase the potential number of active users while maintaining the user experience.

Scenarios that will be considered include handling of user plane traffic when RAN congestion occurs based on:
  • the subscription of the user;
  • the type of application;
  • the type of content.


 

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1   Scope   Word-p. 7
2   References
3   Definitions, symbols and abbreviations
4   Scenarios and use cases
4.1   Congestion scenarios
4.2   Use case 1 - Managing congested RAN traffic using differentiated service subscription QoS attributes   Word-p. 10
4.3   Use case 2 - User level traffic control
4.4   Use case 3 - Application data rate control
4.5   Use case 4 - Disaster service priority      Up
4.6   Use case 5 - Managing congested traffic by using appropriate application attributes
4.7   Use case 6 - Content delivery based on RAN congestion status
4.8   Use case 7 - Traffic compression and transcoding   Word-p. 17
4.9   Use case 8 - Servicing data connection requests/reactivations   Word-p. 19
4.10   Use case 9 - Voice and video media quality modification
4.11   Use case 10 - Charging policy based on RAN congestion status   Word-p. 24
4.12   Use case 11 - Multiple applications traffic control over one bearer   Word-p. 25
4.13   Use case 12 - Application Data Priority Control
4.14   Use case 13 - Protocol Optimization

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