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A Talk on
Carrier Frequency Offset
Estimation for Non-Contiguous
OFDM Receiver in
Cognitive Radio Systems
Presented By: Md. Shahidullah Kawsar
EEE, Khulna University of Engineering & Technology
Source: GLOBECOM 2013 IEEE, Georgia, USA
 System model: Cognitive Radio & NC-OFDM
 Importance of CFO estimation
 Proposed scheme for CFO estimation
 Simulation Results
 Future work opportunity
Outlines
Cognitive Radio (CR)
Possible Applications
Mobile multimedia downloads.
Emergency communications services.
Broadband wireless networking.
Multimedia wireless networking services.
A Software Defined Radio (SDR) with a Cognitive Engine Brain
NC-OFDM: Non-Contiguous
Orthogonal Frequency Division Multiplexing
NC-OFDM is normal OFDM with a mask just as string of 1s and 0s
indicates the presence or absence of a carrier.
Applications
 To acquire (SSI) Spectrum
Synchronization Information.
 To suppress the carriers which
interfere with the primary
transmission.
Why do we estimate
Carrier Frequency Offset (CFO)?
CFO means frequency error in OFDM systems.
Causes
of CFO
 Frequency differences between the
transmitter and receiver oscillators.
 Doppler shift of mobile channels.
 Oscillator instabilities.
Categories
of CFO
 Fractional CFO: It introduces Inter-
Carrier Interference (ICI) and
results in Bit Error Rate (BER)
degradation.
 Integer CFO: It introduces a cyclic
shift of data sub-carriers and a
phase change.
Proposed scheme for CFO estimation
 To verify the accuracy
[A] Hard-Decision-Based Active Subchannel Detection
 To distinguish active subchannels from inactive ones
[B] HDD Based MLE Algorithm
 To recover the CFO
[C] Cramer-Rao lower Bound with Ideal SSI
MSEE vs SNR with SIR = 0dB
MSEE: Mean Square Estimation Error
SNR: Signal to Noise Ratio
SIR: Signal to Interference Ratio
MSEE vs SNR with SIR = -6 dB
MSEE vs SIR with SNR = 10 dB
MSEE vs Active Subchannel Ratio
with SNR = 10 dB & SIR = 0dB
Conclusion
In order to estimate CFO:
 HDD is used to distinguish active subchannels from inactive ones.
 HDD based MLE algorithm is used to recover the CFO.
 Corresponding CRB with Ideal SSI to verify the accuracy.
Simulation results:
 Similar MSEE as the relevant CRB when a broad range of SIR is
considered.
 to set up the SSI and decode the received code bits successfully at
the CR receiver.
Thank You

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Ofdm & cognitive radio

  • 1. A Talk on Carrier Frequency Offset Estimation for Non-Contiguous OFDM Receiver in Cognitive Radio Systems Presented By: Md. Shahidullah Kawsar EEE, Khulna University of Engineering & Technology Source: GLOBECOM 2013 IEEE, Georgia, USA
  • 2.  System model: Cognitive Radio & NC-OFDM  Importance of CFO estimation  Proposed scheme for CFO estimation  Simulation Results  Future work opportunity Outlines
  • 3. Cognitive Radio (CR) Possible Applications Mobile multimedia downloads. Emergency communications services. Broadband wireless networking. Multimedia wireless networking services. A Software Defined Radio (SDR) with a Cognitive Engine Brain
  • 4. NC-OFDM: Non-Contiguous Orthogonal Frequency Division Multiplexing NC-OFDM is normal OFDM with a mask just as string of 1s and 0s indicates the presence or absence of a carrier. Applications  To acquire (SSI) Spectrum Synchronization Information.  To suppress the carriers which interfere with the primary transmission.
  • 5. Why do we estimate Carrier Frequency Offset (CFO)? CFO means frequency error in OFDM systems. Causes of CFO  Frequency differences between the transmitter and receiver oscillators.  Doppler shift of mobile channels.  Oscillator instabilities. Categories of CFO  Fractional CFO: It introduces Inter- Carrier Interference (ICI) and results in Bit Error Rate (BER) degradation.  Integer CFO: It introduces a cyclic shift of data sub-carriers and a phase change.
  • 6. Proposed scheme for CFO estimation  To verify the accuracy [A] Hard-Decision-Based Active Subchannel Detection  To distinguish active subchannels from inactive ones [B] HDD Based MLE Algorithm  To recover the CFO [C] Cramer-Rao lower Bound with Ideal SSI
  • 7. MSEE vs SNR with SIR = 0dB MSEE: Mean Square Estimation Error SNR: Signal to Noise Ratio SIR: Signal to Interference Ratio
  • 8. MSEE vs SNR with SIR = -6 dB
  • 9. MSEE vs SIR with SNR = 10 dB
  • 10. MSEE vs Active Subchannel Ratio with SNR = 10 dB & SIR = 0dB
  • 11. Conclusion In order to estimate CFO:  HDD is used to distinguish active subchannels from inactive ones.  HDD based MLE algorithm is used to recover the CFO.  Corresponding CRB with Ideal SSI to verify the accuracy. Simulation results:  Similar MSEE as the relevant CRB when a broad range of SIR is considered.  to set up the SSI and decode the received code bits successfully at the CR receiver.