Performance evaluation of CoRe with consideration of CTC Bit Grouping

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Performance evaluation of CoRe with consideration of CTC Bit Grouping

IEEE 802.16 Presentation Submission Template (Rev. 9)

Document Number:

IEEE C802.16m-09/0743

Date Submitted:

2009-03-10

Source:

Hyungho Park, Sukwoo Lee

LG Electronics, Inc.

LG R&D Complex, 533 Hogye-1dong,

Dongan-gu, Anyang, 431-749, Korea

*< http://standards.ieee.org/faqs/affiliationFAQ.html

>

Voice: +82-31-450-1934

E-mail: hyunghopark@lge.com

, sugoo@lge.com

Re: IEEE 802.16m-09/0012, “Call for Comments on Amendment Working Document”

Target topic: “Channel Coding & HARQ” Section

Purpose:

To provide details on performance evaluation of constellation rearrangement with bit grouping

Notice:

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16m Bit Grouping scheme [1]

• Problem statement in relation to CTC bit Grouping

– In 64 QAM and N

EP with multiple of 6, the interleaved bits is fed to QAM mapper as the bits are always mapped into the same bit reliability within a

QAM symbol

• This results in performance degradation in CTC trellis decoding.

– How many block sizes are relevant to such performance degradation

• Performance degradation depending on FEC block size, modulation order, code rate, and fading channel

– Relationship between Constellation Rearrangement and CTC Bit Grouping

• Performance evaluation in IR-HARQ is required with consideration of CoRe and Bit

Grouping

16m Bit Grouping scheme [2]

• How many block sizes can have performance improvement by BG (Bit Grouping)

– Only 34.8% of the total number of block sizes obtain Bit Grouping gain under 64 QAM and code rate < ½ (N

EP with multiple of 6)

– 65.2 % of the total are well bit-grouped with distribution of bit reliabilities

(N

EP with non-multiple of 6)

20

21

22

23

16

17

18

19

12

13

14

15

8

9

10

11

24

25

26

27

28

29

4

5

2

3

Inde x

0

1

6

7

N

FB

Inde x

720 90

736 91

752 92

768 93

776 94

800 95

824 96

848 97

872 98

888 99

912 100

936 101

960 102

984 103

1000 104

1024 105

1048 106

1072 107

1096 108

1112 109

1136 110

1160 111

1184 112

1216 113

1248 114

1280 115

1312 116

1336 117

1368 118

1392 119

N

FB

Inde x

328 60

344 61

352 62

360 63

368 64

376 65

384 66

400 67

416 68

432 69

440 70

456 71

472 72

480 73

496 74

512 75

528 76

544 77

552 78

568 79

584 80

600 81

608 82

624 83

640 84

656 85

664 86

680 87

696 88

712 89

N

FB

Inde x

48 30

64 31

72 32

80 33

88 34

96 35

104 36

120 37

128 38

136 39

144 40

152 41

160 42

176 43

184 44

192 45

200 46

208 47

216 48

232 49

240 50

248 51

256 52

264 53

272 54

288 55

296 56

304 57

312 58

320 59

FEC block size table for downlink and uplink data channels

N

FB

Inde x

1424 120

1448 121

1480 122

1504 123

1536 124

1560 125

1600 126

1640 127

1672 128

1712 129

1752 130

1784 131

1824 132

1864 133

1896 134

1920 135

1952 136

2000 137

2048 138

2096 139

2144 140

2192 141

2232 142

2280 143

2328 144

2368 145

2432 146

2496 147

2560 148

2624

N

FB

3904

3968

4096

4160

4224

4288

4352

4416

4544

4608

4672

4736

4800

3328

3392

3456

3520

3648

3712

3776

3840

2752

2816

2880

2944

3008

3072

3200

3264

Performance evaluation

• Simulation Parameters

Parameters

Bandwidth

Number of subcarrier

Frame length

Channel estimation

Channel code/HARQ

Modulation

MIMO configuration

Resource allocation

Channel model

MS mobility

Receiver type

Maximum number of retransmission

Retransmission latency

Assumption

10 MHz

1024

5ms

Perfect

CTC ½ / IR

QPSK, 16 QAM, 64 QAM

2 x 2 SM

Distributed resource allocation

VEH A

30km/h

Linear MMSE

1~4

10ms

Simulation Results [1]

• The impact of CTC block size to FER performance ( a multiple of 6 )

1

VEH A, 30km/h, 64 QAM, 1/2 CTC, Nep:720, Max Tx:1

0.1

16e BG

HMS BG

0.01

12 14 16 18

SNR

20 22 24

– In fading channel model, it’s unlikely for HMS Bit-Grouping to obtain significant performance improvement shown in AWGN. The gain is close to 0.3dB~0.4dB in spite of good simulation environment (64QAM, ½ CTC)

– HMS Bit Grouping has no performance gain under simulation environment of 16QAM and 64QAM with the block sizes which are not a multiple of 6, code rate>1/2)

HMS BG : Huawei/MediaTek/Samsung joint contribution for Bit Grouping (C802.16m-09/0665)

Simulation Results [2]

• The impact of CTC block size to FER performance ( non-multiple of 6 )

VEH A, 30km/h, 64QAM, 1/2 CTC, 2x2 SM, Max Tx:1 VEH A, 30km/h, 64 QAM, 1/2 CTC, Nep:640, Max Tx:1

1 1

0.1

0.1

0.01

12

16e BG (Nep:720)

HMS BG (Nep:720)

16e BG (Nep:640)

HMS BG (Nep:640)

14 16

0.01

HMS BG

16e BG

18

SNR

20 22 24 12 14 16 18

SNR

20 22 24

– N

EP

720 shows performance degradation close to 1dB over N sequence with same bit reliability.

EP

640 due to contiguous distribution of coded bit

– HMS Bit Grouping is not an enhanced scheme with an additional improvement in CTC decoding, it only plays a role to make up for performance degradation.

Simulation Results [3]

• CoRe gain separated from Bit Grouping in IR-HARQ

– Nep with a multiple of 6

VEH A, 30km/h, 64 QAM, 1/2 CTC, 2x2 SM, Nep:720, Max Tx:2

VEH A, 30km/h, 64QAM, 1/2 CTC, 2x2 SM, Nep:720, Max Tx:4

1

1

0.1

0.1

0.01

0.01

16e BG

HMS BG

16e BG + CoRe (LG)

HMS BG + CoRe (LG)

16e BG

HMS BG

16e BG + CoRe(LG)

HMS BG + CoRe (LG)

1E-3

6 7 8 9 10 11 12 13 14

2 3 4 5 6 7 8 9 10

SNR SNR

– From simulation results, we can know that Constellation Rearrangement has additional HARQ gain regardless of Bit Grouping method.

Simulation Results [4]

• CoRe gain separated from Bit Grouping in IR-HARQ

– Nep with non-multiple of 6

VEH A, 30km/h, 64QAM, 1/2 CTC, 2x2 SM, Nep:640, Max Tx:2 VEH A, 30km/h, 64QAM, 1/2 CTC, 2x2 SM, Nep:640, Max Tx:4

1

1

0.1

0.1

0.01

0.01

16e BG

HMS BG

16e BG + CoRe

HMS BG + CoRe

16e BG

HMS BG

16e BG + CoRe (LG)

HMS BG + CoRe (LG)

1E-3

1E-3

6 8 10 12 14 2 3 4 5 6 7 8 9 10

SNR SNR

– In case of N

EP

Bit Grouping. with non-multiple of 6, HMS Bit Grouping has the same or poor performance as 16e

– The HARQ retransmission gain by CoRe is irrelevant to Bit Grouping shown in simulation results above.

Conclusion

• Constellation Rearrangement shows performance gain regardless of bit grouping schemes

• By having Constellation Rearrangement, we don’t need additional complex bit grouping method

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