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Effective Radio Resource Utilization Index for MMR Performance Metric
IEEE 802.16 Presentation Submission Template (Rev. 8.3)
Document Number:
IEEE C802.16j-06/090
Date Submitted: 2006-xx-xx
Source:
Kanchei (Ken) Loa, Yung-Ting Lee,
Yi-Hsueh Tsai,
Institute for Information Industry
8F., No. 218, Sec. 2, Dunhua S. Rd.,
Taipei City, Taiwan.

Voice:
Fax:
E-mail:

886-2-2739-9616
886-2-2378-2328
loa@nmi.iii.org.tw

Venue:
IEEE 802.16 Session #45, Mont Tremblant, Canada
Base Document:
None.
Purpose:
This contribution proposes to add “effective radio resource utilization index” to Performance Metric in IEEE 802.16j-06/013.
Notice:
This document has been prepared to assist IEEE 802.16. It is offered as a basis for discussion and is not binding on the contributing individual(s) or organization(s). The material in this
document is subject to change in form and content after further study. The contributor(s) reserve(s) the right to add, amend or withdraw material contained herein.
Release:
The contributor grants a free, irrevocable license to the IEEE to incorporate material contained in this contribution, and any modifications thereof, in the creation of an IEEE Standards
publication; to copyright in the IEEE’s name any IEEE Standards publication even though it may include portions of this contribution; and at the IEEE’s sole discretion to permit others to
reproduce in whole or in part the resulting IEEE Standards publication. The contributor also acknowledges and accepts that this contribution may be made public by IEEE 802.16.
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1
Introduction
This contribution proposes to add “effective radio
resource utilization index” to Performance Metric
in IEEE 802.16j-06/013
“Effective system spectral efficiency” is defined as
a system-wise performance parameter, however, it
lacks of the granularity of multi-hop path and
cannot be used to evaluate path selection schemes.
The purpose of “effective radio resource utilization
index” is to facilitate the evaluation of path
selection schemes for MMR networks.
2
Definition of Effective Radio
Resource Utilization Index (ERUI)
Effective radio resource utilization index
(ERUI) is defined as the radio resource
used to transmit the user data normalized
by the radio resource used to transmit the
same data using 64-QAM CC ¾ with
repetition 1. The radio resource is limited
to OFDMA slot.
3
Table 1 ERUI of DL Burst Profiles
Type
00
01
02
03
04
10
11
12
13
20
21
22
23

Mod.

QPSK

16-QAM

64-QAM

Burst Profile
Coding

CC/BTC/CTC ½

CC/BTC/CTC ¾
CC/CTC ½
*1 BTC ½
*2 CC/CTC ¾
BTC ¾
CC/CTC 2/3
BTC ¾
CC/CTC ¾
CTC 5/6

*1: also 64-QAM BTC 1/3

Rep.
6
4
2
1
1

1

1

bytes/slot

ERUI

1
1.5
3
6
9
12
16
18
20
24
25
27
30

27.0000
18.0000
9.0000
4.5000
3.0000
2.2500
1.6875
1.5000
1.3500
1.1250
1.0800
1.0000
0.9000

*2: also 64-QAM CC/CTC ½

4
The i-th MS ERUI
h 1

i
MS

r

 w r  w r

nj
n j 1

n1 n1
0 0

j 2

nj
nj
n j 1 n j 1

w r

i
i
nh1 nh1

where w is a weighting factor due to the radio resource
reuse, multicast/broadcast, or spatial diversity.

Four examples are given in Figure 1:
Figure 1a: all weighting factors are 1

Figure 1b: radio resource reuse scenario
Figure 1c: multicast/broadcast scenario
Figure 1d: spatial diversity scenario

5
Figure 1a All Weighting Factors are 1

ERUI  r0n1
BS0

RSn1

ERUI  rnn2
1

RSn2
i
MS ERUI  rMS  r0n1  rnn2  rni2
1

ERUI  rni2

MSi

6
Figure 1b Radio Resource Reuse Scenario

ERUI  r01

ERUI  r14

RS1

ERUI  r03

BS0

ERUI  r

2
0

RS2
MS4

ERUI  r25
4
rMS  r01  1 r14
2

RS3

ERUI  r36
MS6
6
rMS  r03  1 r36
2

MS5

7
Figure 1c Multicast/Broadcast Scenario
ERUI  r01  ra
ERUI  r13  rb
MS3

RS1

ERUI  r02  ra

BS0

ERUI  r15  rb

ERUI  r14  rb
MS4
3
4
5
rMS  rMS  rMS  1 ra  1 rb
2
3

RS2

MS5

ERUI  r26

MS6

6
rMS  1 ra  r26
2

8
Figure 1d Spatial Diversity Scenario
ERUI  r02

BS0

ERUI  r01

RS2
RS1

ERUI  r23
RS3

ERUI  r14  ra
MS4



 

ERUI  r14  ra



4
rMS  r01  1 r14  r02  r23  1 r34  r01  r02  r23  ra
2
2

9
The MMR-cell ERUI
In order to compare the performance of the path
selection for the MMR-cell, the effective MMR-cell
capacity is defined as









i
i
i
i
C MMR  cell   rMS in downstream  TDL   rMS in upstream  TUL
i

i

i
i
where TDL and TUL denote the transmitting data
amounts at i-th MS in unit of 64QAM CC ¾ with
repetition 1 for DL and UL, respectively.

10
Reference MMR-cell Capacity
Moreover, reference MMR-cell capacity is defined as
a reference of radio resource utilization (i.e. OFDMA
slots) for data transmission when 64QAM CC ¾ with
repetition 1 is used for all relay paths and access links.
The value of the effective MMR-cell capacity shall be
less than the reference MMR-cell capacity.
The optimized path selection for all MSs via relay
paths in an MMR cell is to maximize the effective
MMR-cell capacity.
11
Annex
Examples of Comparison between
Direct Path and Indirect Path
Figure 2a Indirect Path is Better
BS

QPSK CC ½
 ERUI Type = 03
 ERUI = 4.5

BS

64-QAM CC ½
 ERUI Type = 12
 ERUI = 1.5

RS

16-QAM CC ¾
 ERUI Type = 12
 ERUI = 1.5

3 < 4.5

MS

Total = 1.5 + 1.5 = 3

MS

* all weighting factors are set as 1

13
Figure 2b Both are The Same
BS

QPSK CC ¾
 ERUI Type = 04
 ERUI = 3

MS

RS

16-QAM CC ¾
 ERUI Type = 12
 ERUI = 1.5

3=3

BS

64-QAM CC ½
 ERUI Type = 12
 ERUI = 1.5

Total = 1.5 + 1.5 = 3

Both are the same (3 = 3)
* all weighting factors are set as 1

MS
14
Figure 2c Direct Path is Better
BS

16-QAM CC ¾
 ERUI Type = 10
 ERUI = 2.25

BS

64-QAM CC ½
 ERUI Type = 12
 ERUI = 1.5

RS

16-QAM CC ¾
 ERUI Type = 12
 ERUI = 1.5

3 < 4.5

MS

Total = 1.5 + 1.5 = 3

MS

* all weighting factors are set as 1

15
Figure 3a Indirect Path is Better
BS

QPSK CC ¾
 ERUI Type = 04
 ERUI = 3

BS

64-QAM CC ¾
 ERUI Type = 22
 ERUI = 1

RS

16-QAM CC ¾
 ERUI Type = 12
 ERUI = 1.5

1.5 < 3

MS

Total = 1 + (1/3) * 1.5 = 1.5

MS

* The weighting factors of RS-MS link are set as 1/3

16
Figure 3b Both are The Same
BS

16-QAM CC ¾
 ERUI Type = 12
 ERUI = 1.5

BS

64-QAM CC ¾
 ERUI Type = 22
 ERUI = 1

RS

16-QAM CC ¾
 ERUI Type = 12
 ERUI = 1.5

1.5 = 1.5

MS

Total = 1 + (1/3) * 1.5 = 1.5

MS

* The weighting factors of RS-MS link are set as 1/3

17
Figure 3c Direct Path is Better
BS

64-QAM CC 2/3
 ERUI Type = 20
 ERUI = 1.125

BS

64-QAM CC ¾
 ERUI Type = 22
 ERUI = 1

RS
Total = 1 + (1/3) * 1.5 = 1.5

16-QAM CC ¾
 ERUI Type = 12
 ERUI = 1.5

1.5 > 1.125

MS

MS

* The weighting factors of RS-MS link are set as 1/3

18
EURI of Indirect Path (2-hop Scenario)

Burst Profile for RS-MS

Type
00
01
02
03
04
10
11
12
13
20
21
22
23

Burst Profile for BS-RS
23

22

21

20

13

12

11

10

04

03

27.9000

28.0000

28.0800

28.1250

28.3500

28.5000

28.6875

29.2500

30.0000

31.5000

18.9000

19.0000

19.0800

19.1250

19.3500

19.5000

19.6875

20.2500

21.0000

22.5000

9.9000

10.0000

10.0800

10.1250

10.3500

10.5000

10.6875

11.2500

12.0000

13.5000

5.4000

5.5000

5.5800

5.6250

5.8500

6.0000

6.1875

6.7500

7.5000

9.0000

3.9000

4.0000

4.0800

4.1250

4.3500

4.5000

4.6875

5.2500

6.0000

7.5000

3.1500

3.2500

3.3300

3.3750

3.6000

3.7500

3.9375

4.5000

5.2500

6.7500

2.5875

2.6875

2.7675

2.8125

3.0375

3.1875

3.3750

3.9375

4.6875

6.1875

2.4000

2.5000

2.5800

2.6250

2.8500

3.0000

3.1875

3.7500

4.5000

6.0000

2.2500

2.3500

2.4300

2.4750

2.7000

2.8500

3.0375

3.6000

4.3500

5.8500

2.0250

2.1250

2.2050

2.2500

2.4750

2.6250

2.8125

3.3750

4.1250

5.6250

1.9800

2.0800

2.1600

2.2050

2.4300

2.5800

2.7675

3.3300

4.0800

5.5800

1.9000

2.0000

2.0800

2.1250

2.3500

2.5000

2.6875

3.2500

4.0000

5.5000

1.8000

1.9000

1.9800

2.0250

2.2500

2.4000

2.5875

3.1500

3.9000

5.4000
19

* the weighting factors are set as 1
Reference
1) IEEE 802.16j-06/013, “Multi-hop Relay System
Evaluation Methodology (Channel Model and
Performance Metric)”, September 2006.

20

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Effective Radio Resource Utilization Index for MMR Performance Metric

  • 1. Effective Radio Resource Utilization Index for MMR Performance Metric IEEE 802.16 Presentation Submission Template (Rev. 8.3) Document Number: IEEE C802.16j-06/090 Date Submitted: 2006-xx-xx Source: Kanchei (Ken) Loa, Yung-Ting Lee, Yi-Hsueh Tsai, Institute for Information Industry 8F., No. 218, Sec. 2, Dunhua S. Rd., Taipei City, Taiwan. Voice: Fax: E-mail: 886-2-2739-9616 886-2-2378-2328 loa@nmi.iii.org.tw Venue: IEEE 802.16 Session #45, Mont Tremblant, Canada Base Document: None. Purpose: This contribution proposes to add “effective radio resource utilization index” to Performance Metric in IEEE 802.16j-06/013. Notice: This document has been prepared to assist IEEE 802.16. It is offered as a basis for discussion and is not binding on the contributing individual(s) or organization(s). The material in this document is subject to change in form and content after further study. The contributor(s) reserve(s) the right to add, amend or withdraw material contained herein. Release: The contributor grants a free, irrevocable license to the IEEE to incorporate material contained in this contribution, and any modifications thereof, in the creation of an IEEE Standards publication; to copyright in the IEEE’s name any IEEE Standards publication even though it may include portions of this contribution; and at the IEEE’s sole discretion to permit others to reproduce in whole or in part the resulting IEEE Standards publication. The contributor also acknowledges and accepts that this contribution may be made public by IEEE 802.16. IEEE 802.16 Patent Policy: The contributor is familiar with the IEEE 802.16 Patent Policy and Procedures <http://ieee802.org/16/ipr/patents/policy.html>, including the statement "IEEE standards may include the known use of patent(s), including patent applications, provided the IEEE receives assurance from the patent holder or applicant with respect to patents essential for compliance with both mandatory and optional portions of the standard." Early disclosure to the Working Group of patent information that might be relevant to the standard is essential to reduce the possibility for delays in the development process and increase the likelihood that the draft publication will be approved for publication. Please notify the Chair <mailto:chair@wirelessman.org> as early as possible, in written or electronic form, if patented technology (or technology under patent application) might be incorporated into a draft standard being developed within the IEEE 802.16 Working Group. The Chair will disclose this notification via the IEEE 802.16 web site <http://ieee802.org/16/ipr/patents/notices>. 1
  • 2. Introduction This contribution proposes to add “effective radio resource utilization index” to Performance Metric in IEEE 802.16j-06/013 “Effective system spectral efficiency” is defined as a system-wise performance parameter, however, it lacks of the granularity of multi-hop path and cannot be used to evaluate path selection schemes. The purpose of “effective radio resource utilization index” is to facilitate the evaluation of path selection schemes for MMR networks. 2
  • 3. Definition of Effective Radio Resource Utilization Index (ERUI) Effective radio resource utilization index (ERUI) is defined as the radio resource used to transmit the user data normalized by the radio resource used to transmit the same data using 64-QAM CC ¾ with repetition 1. The radio resource is limited to OFDMA slot. 3
  • 4. Table 1 ERUI of DL Burst Profiles Type 00 01 02 03 04 10 11 12 13 20 21 22 23 Mod. QPSK 16-QAM 64-QAM Burst Profile Coding CC/BTC/CTC ½ CC/BTC/CTC ¾ CC/CTC ½ *1 BTC ½ *2 CC/CTC ¾ BTC ¾ CC/CTC 2/3 BTC ¾ CC/CTC ¾ CTC 5/6 *1: also 64-QAM BTC 1/3 Rep. 6 4 2 1 1 1 1 bytes/slot ERUI 1 1.5 3 6 9 12 16 18 20 24 25 27 30 27.0000 18.0000 9.0000 4.5000 3.0000 2.2500 1.6875 1.5000 1.3500 1.1250 1.0800 1.0000 0.9000 *2: also 64-QAM CC/CTC ½ 4
  • 5. The i-th MS ERUI h 1 i MS r  w r  w r nj n j 1 n1 n1 0 0 j 2 nj nj n j 1 n j 1 w r i i nh1 nh1 where w is a weighting factor due to the radio resource reuse, multicast/broadcast, or spatial diversity. Four examples are given in Figure 1: Figure 1a: all weighting factors are 1 Figure 1b: radio resource reuse scenario Figure 1c: multicast/broadcast scenario Figure 1d: spatial diversity scenario 5
  • 6. Figure 1a All Weighting Factors are 1 ERUI  r0n1 BS0 RSn1 ERUI  rnn2 1 RSn2 i MS ERUI  rMS  r0n1  rnn2  rni2 1 ERUI  rni2 MSi 6
  • 7. Figure 1b Radio Resource Reuse Scenario ERUI  r01 ERUI  r14 RS1 ERUI  r03 BS0 ERUI  r 2 0 RS2 MS4 ERUI  r25 4 rMS  r01  1 r14 2 RS3 ERUI  r36 MS6 6 rMS  r03  1 r36 2 MS5 7
  • 8. Figure 1c Multicast/Broadcast Scenario ERUI  r01  ra ERUI  r13  rb MS3 RS1 ERUI  r02  ra BS0 ERUI  r15  rb ERUI  r14  rb MS4 3 4 5 rMS  rMS  rMS  1 ra  1 rb 2 3 RS2 MS5 ERUI  r26 MS6 6 rMS  1 ra  r26 2 8
  • 9. Figure 1d Spatial Diversity Scenario ERUI  r02 BS0 ERUI  r01 RS2 RS1 ERUI  r23 RS3 ERUI  r14  ra MS4    ERUI  r14  ra  4 rMS  r01  1 r14  r02  r23  1 r34  r01  r02  r23  ra 2 2 9
  • 10. The MMR-cell ERUI In order to compare the performance of the path selection for the MMR-cell, the effective MMR-cell capacity is defined as     i i i i C MMR  cell   rMS in downstream  TDL   rMS in upstream  TUL i i i i where TDL and TUL denote the transmitting data amounts at i-th MS in unit of 64QAM CC ¾ with repetition 1 for DL and UL, respectively. 10
  • 11. Reference MMR-cell Capacity Moreover, reference MMR-cell capacity is defined as a reference of radio resource utilization (i.e. OFDMA slots) for data transmission when 64QAM CC ¾ with repetition 1 is used for all relay paths and access links. The value of the effective MMR-cell capacity shall be less than the reference MMR-cell capacity. The optimized path selection for all MSs via relay paths in an MMR cell is to maximize the effective MMR-cell capacity. 11
  • 12. Annex Examples of Comparison between Direct Path and Indirect Path
  • 13. Figure 2a Indirect Path is Better BS QPSK CC ½  ERUI Type = 03  ERUI = 4.5 BS 64-QAM CC ½  ERUI Type = 12  ERUI = 1.5 RS 16-QAM CC ¾  ERUI Type = 12  ERUI = 1.5 3 < 4.5 MS Total = 1.5 + 1.5 = 3 MS * all weighting factors are set as 1 13
  • 14. Figure 2b Both are The Same BS QPSK CC ¾  ERUI Type = 04  ERUI = 3 MS RS 16-QAM CC ¾  ERUI Type = 12  ERUI = 1.5 3=3 BS 64-QAM CC ½  ERUI Type = 12  ERUI = 1.5 Total = 1.5 + 1.5 = 3 Both are the same (3 = 3) * all weighting factors are set as 1 MS 14
  • 15. Figure 2c Direct Path is Better BS 16-QAM CC ¾  ERUI Type = 10  ERUI = 2.25 BS 64-QAM CC ½  ERUI Type = 12  ERUI = 1.5 RS 16-QAM CC ¾  ERUI Type = 12  ERUI = 1.5 3 < 4.5 MS Total = 1.5 + 1.5 = 3 MS * all weighting factors are set as 1 15
  • 16. Figure 3a Indirect Path is Better BS QPSK CC ¾  ERUI Type = 04  ERUI = 3 BS 64-QAM CC ¾  ERUI Type = 22  ERUI = 1 RS 16-QAM CC ¾  ERUI Type = 12  ERUI = 1.5 1.5 < 3 MS Total = 1 + (1/3) * 1.5 = 1.5 MS * The weighting factors of RS-MS link are set as 1/3 16
  • 17. Figure 3b Both are The Same BS 16-QAM CC ¾  ERUI Type = 12  ERUI = 1.5 BS 64-QAM CC ¾  ERUI Type = 22  ERUI = 1 RS 16-QAM CC ¾  ERUI Type = 12  ERUI = 1.5 1.5 = 1.5 MS Total = 1 + (1/3) * 1.5 = 1.5 MS * The weighting factors of RS-MS link are set as 1/3 17
  • 18. Figure 3c Direct Path is Better BS 64-QAM CC 2/3  ERUI Type = 20  ERUI = 1.125 BS 64-QAM CC ¾  ERUI Type = 22  ERUI = 1 RS Total = 1 + (1/3) * 1.5 = 1.5 16-QAM CC ¾  ERUI Type = 12  ERUI = 1.5 1.5 > 1.125 MS MS * The weighting factors of RS-MS link are set as 1/3 18
  • 19. EURI of Indirect Path (2-hop Scenario) Burst Profile for RS-MS Type 00 01 02 03 04 10 11 12 13 20 21 22 23 Burst Profile for BS-RS 23 22 21 20 13 12 11 10 04 03 27.9000 28.0000 28.0800 28.1250 28.3500 28.5000 28.6875 29.2500 30.0000 31.5000 18.9000 19.0000 19.0800 19.1250 19.3500 19.5000 19.6875 20.2500 21.0000 22.5000 9.9000 10.0000 10.0800 10.1250 10.3500 10.5000 10.6875 11.2500 12.0000 13.5000 5.4000 5.5000 5.5800 5.6250 5.8500 6.0000 6.1875 6.7500 7.5000 9.0000 3.9000 4.0000 4.0800 4.1250 4.3500 4.5000 4.6875 5.2500 6.0000 7.5000 3.1500 3.2500 3.3300 3.3750 3.6000 3.7500 3.9375 4.5000 5.2500 6.7500 2.5875 2.6875 2.7675 2.8125 3.0375 3.1875 3.3750 3.9375 4.6875 6.1875 2.4000 2.5000 2.5800 2.6250 2.8500 3.0000 3.1875 3.7500 4.5000 6.0000 2.2500 2.3500 2.4300 2.4750 2.7000 2.8500 3.0375 3.6000 4.3500 5.8500 2.0250 2.1250 2.2050 2.2500 2.4750 2.6250 2.8125 3.3750 4.1250 5.6250 1.9800 2.0800 2.1600 2.2050 2.4300 2.5800 2.7675 3.3300 4.0800 5.5800 1.9000 2.0000 2.0800 2.1250 2.3500 2.5000 2.6875 3.2500 4.0000 5.5000 1.8000 1.9000 1.9800 2.0250 2.2500 2.4000 2.5875 3.1500 3.9000 5.4000 19 * the weighting factors are set as 1
  • 20. Reference 1) IEEE 802.16j-06/013, “Multi-hop Relay System Evaluation Methodology (Channel Model and Performance Metric)”, September 2006. 20