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Doc.: IEEE 802.11-14/1399r0 Submission November 2014 Multi-Carrier Training Field for OFDM Transmission in 802.11aj (45GHz) Authors/contributors: Date:

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Presentation on theme: "Doc.: IEEE 802.11-14/1399r0 Submission November 2014 Multi-Carrier Training Field for OFDM Transmission in 802.11aj (45GHz) Authors/contributors: Date:"— Presentation transcript:

1 doc.: IEEE 802.11-14/1399r0 Submission November 2014 Multi-Carrier Training Field for OFDM Transmission in 802.11aj (45GHz) Authors/contributors: Date: 2014-11-5 Presenter: Haiming Wang Slide 1 Shiwen He, Haiming Wang

2 doc.: IEEE 802.11-14/1399r0 Submission November 2014 Introduction Multi-Carrier Training Fields (MCTF) is applied for channel estimation in IEEE 802.11aj OFDM transmission. This presentation focuses on the OFDM-MCTF in OFDM transmission. Slide 2 Shiwen He, Haiming Wang

3 doc.: IEEE 802.11-14/1399r0 Submission November 2014 MCTF Considering the situation of IEEE 802.11aj, there are two objectives for the design of MCTF. Low PAPR of the OFDM signals Binary sequence for MCTF Slide 3 Shiwen He, Haiming Wang

4 doc.: IEEE 802.11-14/1399r0 Submission November 2014 MCTF All the points of the MCTF are set to the same amplitude with different phase. The MCTF can be represented by where is the index of the subcarriers, and indicates the subcarrier’s value. As each frequency point obtains the same power, the selection of phase will not affect the performance of channel estimation. A sequence with low PAPR is proposed to design. Slide 4 Shiwen He, Haiming Wang

5 doc.: IEEE 802.11-14/1399r0 Submission November 2014 PAPR In the OFDM system with N subcarriers, the PAPR of the transmitted signal is defined as where denotes the excepted value operation ， is the time domain signal of. The MCTF is designed by using cross entropy algorithm. The cross entropy method iteratively optimizes the parameters of the probability distribution to produce a random variable solution in the neighborhood of the global optimal solution by minimizing cross entropy between the associated distribution and the optimal importance sampling distribution. where denotes the excepted value operation ， denotes the IFFT transform. Slide 5 Shiwen He, Haiming Wang

6 doc.: IEEE 802.11-14/1399r0 Submission November 2014 MCTF based on cross entropy The figure shows the lowest PAPR of random sequences for 256 length and training sequences for 256 length in one hundred training iterations. The value of the PAPR for 256-MCTF converged at 70 times. Slide 6 Shiwen He, Haiming Wang

7 doc.: IEEE 802.11-14/1399r0 Submission November 2014 MCTF based on cross entropy The 256-MCTF including DC carriers & Null carriers Slide 7 Shiwen He, Haiming Wang

8 doc.: IEEE 802.11-14/1399r0 Submission November 2014 MCTF based on CE The figure shows the lowest PAPR of random sequences for 512 length and training sequences for 512 length in one hundred training iterations. The value of the PAPR for 512-MCTF converged at 80 times. Slide 8 Shiwen He, Haiming Wang

9 doc.: IEEE 802.11-14/1399r0 Submission November 2014 MCTF based on CE The 512-MCTF including DC carriers & Null carriers Slide 9 Shiwen He, Haiming Wang

10 doc.: IEEE 802.11-14/1399r0 Submission November 2014 MCTF based on CE The MCTF of 512 length obtains PAPR for 3.5 dB the same as the VHT-LTF of 64 length. NOTE: The sequences calculated including DC carriers and null carriers. Training Field PAPR Length of 64Length of 128Length of 256Length of 512 11ac VHT-LTF3.5 dB5.7 dB8.6 dB11.6 dB 11aj MCTF--3.2 dB3.6 dB The comparison of PAPR between 11aj MCTF and 11ac VHT-VTF Slide 10 Shiwen He, Haiming Wang

11 doc.: IEEE 802.11-14/1399r0 Submission November 2014 Conclusion The proposed MCTF achieves a PAPR of 3.2 dB for the DFT length of 256 and 3.5 dB for the DFT length of 512. The proposed MCTF sequence is a binary sequence. Slide 11 Shiwen He, Haiming Wang

12 doc.: IEEE 802.11-14/1399r0 Submission November 2014 Appendix Slide 12 Shiwen He, Haiming Wang

13 doc.: IEEE 802.11-14/1399r0 Submission November 2014 Simulation Setup Channel model: IEEE 802.11aj(45 GHz), Conference Scenario Number of distinguishable paths : 18 Packet length: 4096 bytes LDPC codeword length: 672bits Number of channel realizations: 2000 Simulation antennas: 4x4 for 1,2,3,4ss, 2x2 for 1,2ss, 1x1 respectively Modulation and code rate: {QPSK ½} Channel estimation: LS with DFT correction Spatial Extension Matrix: Slide 13 Shiwen He, Haiming Wang

14 doc.: IEEE 802.11-14/1399r0 Submission November 2014 PER Performance Antenna: 4x4; Modulation: QPSK; Stream: 4; Channel Estimation: LS estimation with correction; The gap is 1.5 dB. Slide 14 Shiwen He, Haiming Wang

15 doc.: IEEE 802.11-14/1399r0 Submission November 2014 PER Performance Antenna: 4x4; Modulation: QPSK; Stream: 3; Channel Estimation: LS estimation with correction The gap is 1.5 dB. Slide 15 Shiwen He, Haiming Wang

16 doc.: IEEE 802.11-14/1399r0 Submission November 2014 PER Performance Antenna: 4x4; Modulation: QPSK; Stream: 2; Channel Estimation: LS estimation with correction. The gap is 1.5 dB. Slide 16 Shiwen He, Haiming Wang

17 doc.: IEEE 802.11-14/1399r0 Submission November 2014 PER Performance Antenna: 4x4; Modulation: QPSK; Stream: 1; Channel Estimation: LS estimation with correction; The gap is 2 dB. Slide 17 Shiwen He, Haiming Wang

18 doc.: IEEE 802.11-14/1399r0 Submission November 2014 PER Performance Antenna: 2x2; Modulation: QPSK; Streams 2; Channel Estimation: LS estimation with correction; The gap is 1.25 dB. Slide 18 Shiwen He, Haiming Wang

19 doc.: IEEE 802.11-14/1399r0 Submission November 2014 PER Performance Antenna:1x1; Modulation: QPSK; Stream: 1; Channel Estimation: LS estimation with correction The gap is 1.25 dB. Slide 19 Shiwen He, Haiming Wang

20 doc.: IEEE 802.11-14/1399r0 Submission November 2014 MSE Performance of Channel Estimation Antenna: 1x1; Stream: 1; Channel Estimation: LS estimation with correction Slide 20 Shiwen He, Haiming Wang

21 doc.: IEEE 802.11-14/1399r0 Submission November 2014 Q & A 1.The gap of the PER curve of ideal and estimated channel is actual? The gap is similar in some other simulations. The next two figure contrast the PER gap of ideal and estimated channel between IEEE 802.11n and IEEE 802.11aj with MCTF. Slide 21 Shiwen He, Haiming Wang

22 doc.: IEEE 802.11-14/1399r0 Submission November 2014 Q & A Reference ： Hoefel, R. P. F. (2012). IEEE 802.11n: On Performance of Channel Estimation Schemes over OFDM MIMO Spatially-Correlated Frequency Selective Fading TGn Channels. In XXX Brazilian Symposium on Telecommunications. This figure indicated that the PER gap of ideal and LS estimated channel is about 3 dB in such simulation setup: Simulation antennas:1x1, Modulation:16QAM. Slide 22 Shiwen He, Haiming Wang

23 doc.: IEEE 802.11-14/1399r0 Submission November 2014 Q & A The corresponding simulation results of MCTF in IEEE 802.11aj in such simulation setup: Antenna:1x1, Modulation: 16QAM. This figure indicates that the PER gap of ideal and estimated channel is about 1.2dB. The enhancement of the performance is because of the LS estimation with DFT correction. Slide 23 Shiwen He, Haiming Wang

24 doc.: IEEE 802.11-14/1399r0 Submission November 2014 Thanks for Your Attention! Slide 24 Shiwen He, Haiming Wang

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