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Content for
TR 26.881
Word version: 15.0.0
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4
Reference Architecture
5
Use of MBMS for mission critical services
6
Media Diversity for Mission Critical Services
7
Candidate Requirements
8
MBMS Bearer Service Channel Modelling
9
Key Issues
10
FEC Evaluation Procedure for MCVideo
11
Solutions
12
Conclusions
A
Simulation Conditions
B
Tools for evaluation
$
Change history
4
Reference Architecture
p. 8
4.1
Introduction
p. 8
5
Use of MBMS for mission critical services
p. 8
5.1
Procedures and information flows
p. 8
5.2
New procedures related to FEC
p. 9
5.2.0
General
p. 9
5.2.1
MB2 extension
p. 9
5.2.2
Link with FEC Frame
p. 10
5.3
MBMS configuration and parameters
p. 10
5.3.1
Bandwidth
p. 10
5.3.2
Coverage
p. 11
6
Media Diversity for Mission Critical Services
p. 11
6.1
MCPTT
p. 11
6.2
MCVideo
p. 11
6.3
MCData
p. 12
6.3.0
General
p. 12
6.3.1
SDS capability
p. 12
6.3.2
File Distribution capability
p. 12
6.3.3
Data Streaming capability
p. 12
6.4
Latency requirements for mission critical services
p. 12
7
Candidate Requirements
p. 13
7.1
MCVideo
p. 13
8
MBMS Bearer Service Channel Modelling
p. 13
8.1
Introduction
p. 13
8.2
Modelling of E-UTRAN MBMS Bearer
p. 13
8.3
Consideration on Mission Critical Channel Model
p. 17
9
Key Issues
p. 17
9.1
Forward Error Correction for MCVideo media distribution over MBMS bearers
p. 17
9.1.1
Description
p. 17
9.2
Forward Error Correction for MCPTT media distribution over MBMS bearers
p. 18
9.2.1
Description
p. 18
9.3
Forward Error Correction for MCData distribution over MBMS bearers
p. 18
9.3.1
Description
p. 18
9.4
AL-FEC vs. physical layer FEC
p. 19
10
FEC Evaluation Procedure for MCVideo
p. 21
10.1
Introduction
p. 21
10.2
Simulation Conditions
p. 21
10.2.1
Simulation conditions and assumptions
p. 21
10.3
MCVideo Performance
p. 22
10.4
Channel Model and Performance for Mission Critical Video
p. 25
10.4.1
Use Case - Mission Critical Video
p. 25
10.4.2
Simulation Method
p. 25
10.5
Channel Model for solution comparison
p. 26
10.5.1
Use Cases - Mission Critical Video
p. 26
10.5.2
Simulation Method
p. 26
11
Solutions
p. 27
11.1
Solution #1: Convolutional FEC for MCVideo
p. 27
11.1.1
Solution description
p. 27
11.1.1.1
Introduction
p. 27
11.1.1.2
FECFrame extension for convolutional FEC
p. 27
11.1.1.3
The Sliding Window RLC FEC Scheme
p. 29
11.1.1.4
Parameters
p. 29
11.1.1.5
Performance evaluation
p. 30
11.1.1.5.1
Repair traffic overhead for mode 1 (bitrate 398.4 kbps, packet size: 498 bytes)
p. 30
11.1.1.5.2
Repair traffic overhead for mode 2 (bitrate 398.4 kbps, packet size: 996 bytes)
p. 32
11.1.1.5.3
Repair traffic overhead for mode 3 (bitrate 796.8.4 kbps, packet size: 996 bytes)
p. 33
11.1.1.6
Performance of AL-FEC compared to MCS dimensioning.
p. 33
11.1.1.6.1
General
p. 33
11.1.1.6.2
3 km/h, 751 Mhz
p. 34
11.1.1.6.3
10 km/h, 751 Mhz
p. 34
11.1.1.6.4
20 km/h, 751 Mhz
p. 35
11.1.1.6.5
Performance for higher frequencies
p. 35
11.1.1.6.6
Considerations about dynamicity of conditions for mission critical services
p. 35
11.1.2
Solution evaluation
p. 36
11.2
Solution #2: MCS Dimensioning
p. 36
11.2.1
Solution Description
p. 36
11.2.2
Simulation Results
p. 36
11.2.3
Summary and Conclusions
p. 39
12
Conclusions
p. 39
A
Simulation Conditions
p. 41
A.1
Simulation Procedure for MCVideo
p. 41
B
Tools for evaluation
p. 42
B.1
Generate Markov Traces
p. 42
$
Change history
p. 43