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Spectrally Efficient Time-Frequency Training OFDM for MIMO Systems. Linglong Dai and Zhaocheng Wang Tsinghua University, Beijing, China. Outline. 1. Motivation. 2. Time-Frequency Training OFDM. 3. Simulation Results. 4. Conclusion. Motivation 1.
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Spectrally Efficient Time-Frequency Training OFDM for MIMO Systems Linglong Dai and Zhaocheng Wang Tsinghua University, Beijing, China
Outline 1 Motivation 2 Time-Frequency Training OFDM 3 Simulation Results 4 Conclusion
Motivation 1 • OFDM and MIMO in current and future wireless communcaitons [1] • One key problem: pilot overhead is high[2] ~25% in LTE-A !
Motivation 2 • Cyclic prefix OFDM (CP- OFDM) • Use cyclic prefix (CP) to alleviate IBI • Frequency-domain pilots for channel estimation • Time domain synchronous OFDM (TDS-OFDM) [3] • Use known training sequence (e.g., PN) to alleviate IBI • No pilotincrease the spectral efficiency by about 10% • Key technology of international DTV standard DTMB [4] • Hard to be extended to MIMO systems due to interferences [5] OFDM Block PN Data Data interferences 4
Outline 1 Background 2 Time-Frequency Training OFDM 3 Simulation Results 4 Conclusion 5
Time-Frequency Training OFDM (TFT-OFDM) • Every OFDM symbol has time-frequency training information • Key idea • Two-domain processing outperforms one-domain processing • Orthogonal time-domain training sequence and frequency-domain pilots 6
TFT-OFDM Receiver • Wireless channel model number of active paths channel length path gain path delay Key point: (6vs. 420 in DTMB standard) 7
TFT-OFDM Receiver • Time-frequency joint channel estimation • Step 1: only path delay estimation using the time-domain training sequence without interference cancellation • Averaging can be used to improve the accuracy • Inaccurate path gains SNR=5 dB • Accurate path delays 8
TFT-OFDM Receiver • Time-frequency joint channel estimation • The number of unknown parameters in the CIR has been substantially reduced from to • Step 2: path gain estimation using only ( ) • frequency-domain pilots under ML criterion 9
Performance Analysis • Cramer-Rao lower bound (CRLB) • Spectral efficiency channel sparsity noise level number of pilots 17 % 10
Outline 1 Background 2 Time-Frequency Training OFDM 3 Simulation Results 4 Conclusion 11
Simulation Results MSE performance comparison Parameters: (Based on DTMB standard) • Central Frequency 770 MHz • Signal Bandwidth • 7.56 MHz • Length • N=3780 • M=420 • G=20 • MIMO Encoding • Alamouti code • Modulation 64QAM • Channel Coding • LDPC, CR=0.6 • Channels • Brazil D TFT-OFDM outperforms CP-OFDM and TDS-OFDM by more than 4 dB 12
Simulation Results BER comparison with mobile speed of 140 km/h TFT-OFDM outperforms CP-OFDM and TDS-OFDM by 0.75 dB and 1.60 dB at the BER of 10^−4
Outline 1 Background 2 Time-Frequency Training OFDM 3 Simulation Results 4 Conclusion 14
Conclusions • In this paper, we propose a spectrally efficient TFT-OFDM transmission scheme for MIMO systems • Each TFT-OFDM symbol has training information in both time and frequency domains, and the frequency-domain grouped pilots occupy much fewer pilots than that in standard OFDM MIMO systems • This is achieved by the joint time-frequency channel estimation scheme, whereby the path delays are firstly acquired by the time-domain training sequence without interference cancellation, while the path gains are acquired by by the substantially reduced number of frequency-domain pilots. • TFT-OFDM can easily extend TDS-OFDM in MIMO scenarios, and increase the spectral efficiency of CP-OFDM MIMO by about 17% • Two-domain processing outperforms one-domain processing • .
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