Tech-
invite
3GPP
space
IETF
space
21
22
23
24
25
26
27
28
29
31
32
33
34
35
36
37
38
4‑5x
Content for
TR 36.866
Word version: 12.0.1
1…
2…
2
References
3
Definitions, symbols and abbreviations
4
Introduction
5
Study objectives
6
Scenarios and targeted/interference channels
7
Receiver structures and assumptions
8
Link-level performance evaluation
9
System-level performance evaluation
10
Potential specification impact
11
Conclusions
A
Evaluation assumptions
$
Change History
2
References
p. 6
3
Definitions, symbols and abbreviations
p. 7
3.1
Definitions
p. 7
3.2
Symbols
p. 7
3.3
Abbreviations
p. 7
4
Introduction
p. 7
5
Study objectives
p. 8
6
Scenarios and targeted/interference channels
p. 9
6.1
Network deployment scenarios
p. 9
6.2
Targeted and interference channels
p. 10
6.3
Intra-cell interference scenarios
p. 10
6.3.1
SU-MIMO
p. 10
7
Receiver structures and assumptions
p. 10
7.1
General
p. 10
7.2
Interference Suppression (IS) receivers
p. 11
7.3
Maximum Likelihood (ML) receivers
p. 11
7.4
Interference Cancellation (IC) receivers
p. 11
7.5
Receiver assumptions
p. 12
7.6
Complexity analysis
p. 13
8
Link-level performance evaluation
p. 14
8.1
Interference modelling
p. 14
8.1.1
General
p. 14
8.1.2
Settings of SINR and Ik/Noc
p. 14
8.1.2.1
Geometry (SINR) calibration
p. 14
8.1.2.2
Settings of Ik/Noc (scenario 1)
p. 21
8.1.2.3
Settings of Ik/Noc (scenario 2)
p. 25
8.2
Link-level Performance Characterization
p. 30
8.2.1
Phase-1 link-level Evaluation Results (Fixed ON/OFF)
p. 30
8.2.2
Phase-2 link-level evaluation results (Dynamic ON/OFF)
p. 30
8.2.2.1
Dynamic ON/OFF modelling
p. 30
8.2.2.2
Phase-2 link-level evaluation results
p. 36
8.2.3
Preliminary link-level evaluation results with blind detection of interference parameters
p. 37
8.2.4
SU-MIMO
p. 38
8.2.4.1
Link level simulation results
p. 38
8.2.4.2
Summary
p. 43
9
System-level performance evaluation
p. 43
9.1
System-level modelling methodologies
p. 43
9.1.1
Modelling methodologies for E-LMMSE-IRC
p. 43
9.1.2
Modelling methodologies for WLMMSE-IRC
p. 45
9.1.3
Modelling methodologies for ML/R-ML
p. 48
9.1.4
Modelling methodologies for CWIC
p. 51
9.1.5
Modelling Methodologies for SLIC
p. 52
9.1.5.1
Alternative 1
p. 52
9.1.5.2
Alternative 2
p. 54
9.1.5.3
Alternative 3
p. 55
9.1.6
Modelling methodologies for iterative ML
p. 57
9.2
Preliminary system-level performance results
p. 59
10
Potential specification impact
p. 60
11
Conclusions
p. 60
A
Evaluation assumptions
p. 62
$
Change History
p. 64