Progress%20Report%20of%20OFDM-based%20Agile%20Baseband%20Transceiver%20for%20Spectrum%20Pooling%20Wireless%20Systems - PowerPoint PPT Presentation

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Progress%20Report%20of%20OFDM-based%20Agile%20Baseband%20Transceiver%20for%20Spectrum%20Pooling%20Wireless%20Systems

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Coexist with LU in the same frequency band without interfering LU. ... [1] Rainer Gr'unheid, Edgar Bolinth, and Hermann Rohling, ... – PowerPoint PPT presentation

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Title: Progress%20Report%20of%20OFDM-based%20Agile%20Baseband%20Transceiver%20for%20Spectrum%20Pooling%20Wireless%20Systems


1
Progress Report of OFDM-based Agile Baseband
Transceiver for Spectrum Pooling Wireless Systems
  • Advisor Tzi-Dar Chiueh
  • Student Jui-Ping Lien
  • Date Nov 29th , 2004

2
Outline
  • Overview of Spectrum Pooling System
  • Feature
  • Specification
  • Transmit Power Spectrum
  • Two approaches of reducing signal sidelobe
  • Simulation Result
  • SISO perfect channel estimation in AWGN
  • Conclusion
  • Future Work
  • Reference

3
Overview of Spectrum Pooling System
4
Flexible Spectrum
  • Coexist with LU in the same frequency band
    without interfering LU.
  • Use idle bands which LU does not use.
  • Band Allocation totally 15 combinations

sub-band No.
1
2
3
4
LU/RU licensed/rental user
5
Adaptive Transmission
  • Pros
  • Enhance the capacity
  • Cons
  • Increase the complexity
  • Assume transmitter knows CSI (channel state
    information)
  • Adaptive transmission using water-filling
    techniques 3
  • Power allocation
  • Bit loading (adaptive modulation)
  • SBLA ( Simple Blockwise Loading Algorithm ) 1

6
MIMO Scheme
  • 2x2 MIMO enhance higher data rate
  • VBLAST
  • SVD-based (Singular Value Decomposition)
  • Pros support adaptive modulation
  • Cons Assume transmitter knows CSI
  • Channel matrix
  • Transmit signal
  • Received signal

2 3
7
System specifications
FFT size 256
Bandwidth 100MHz (use 80MHz actually)
Sampling rate 80MHz (4 times faster than 802.11a)
Sub-carrier spacing 312.5KHz (80 MHz/256)
FFT period 3.2us (1/312.5 KHz)
Guard interval duration 0.8us
OFDM symbol duration 4.0us (3.20.8 us)
Sub-carrier in use variable
Modulation type BPSK, QPSK, 16QAM, 64QAM
Operating frequency Upper UNII bands
8
Transmit Power Spectrum Analysis
9
Transmitter Block Diagram
CSI
10
Transmit Spectrum Mask
  • 802.11a spec has transmit spectrum mask
  • Two approaches to reduce sidelobes of transmitted
    waveform
  • Time domain windowing
  • Frequency domain filtering

RU 1234
RU 13
11
Time domain windowing
  • Raised cosine windowing
  • Larger roll-off factor improves the spectrum, at
    the cost of decreased delay spread tolerance.

12
Frequency domain filtering (1/2)
  • Filter Requirement
  • Interpolator filer
  • Band-limited filter reduce out-of-band spectrum
  • Reconfigurable filter
  • Complex filter for asymmetric spectrum case

13
Frequency domain filtering (2/2)
Item Elliptic Filter (IIR) Elliptic Filter (IIR) Filter Coefficient Case
1 N6 Wp19/80 Ws 23/80 Rp0.1 dB Rs40 dB RU23
2 N6 Wp19/80 Ws 23/80 Rp0.1 dB Rs40 dB RU1, RU2, RU12
3 N6 Wp19/80 Ws 23/80 Rp0.1 dB Rs40 dB RU3, RU4, RU34
4 N7 Wp29/80 Ws 33/80 Rp0.1dB Rs40 dB RU13, RU123
5 N7 Wp29/80 Ws 33/80 Rp0.1dB Rs40 dB complex conjugate of item4 RU24. RU234
6 N7 Wp39/80 Ws 43/80 Rp0.1, Rs40 RU14, RU124, RU134, RU1234
14
Simulation Transmit Spectrum -- 1 sub-band
(1/3)
ß0, 1/160, 1/40
ß0, 1/160, 1/40
15
Simulation Transmit Spectrum -- 2 sub-bands
(2/3)
16
Simulation Transmit Spectrum -- 3 or 4
sub-bands (3/3)
17
Simulation of Perfect Channel Estimation in AWGN
18
Receiver Architecture
Inner receiver
19
SISO Perfect Channel Estimation in AWGN Channel
  • Simulation Environment
  • More available sub-band
  • ? higher data rate
  • ? higher BER _at_ same SNR per OFDM symbol

RU1
RU1234
20
Simulation Result (1/2)
16 QAM of 15 cases
4 modulation types of RU1234
21
Simulation Result (2/2)
22
Conclusion
  • Features of SP system has been introduced.
  • Since transmit power spectrum should achieve the
    mask requirement, we use both techniques
  • time domain raised cosine windowing (overlap 1 pt
    )
  • frequency domain filtering
  • SISO perfect channel estimation in AWGN has been
    simulated.

23
Future Work
  • Extend SISO to MIMO scheme
  • Build up timing recovery block of receiver
  • Support adaptive modulation
  • System modification according to final
    specification

24
Reference
  • 1 Rainer Grunheid, Edgar Bolinth, and Hermann
    Rohling,
  • A Blockwise Loading Algorithm for the Adaptive
    Modulation Technique in OFDM Systems, in IEEE
    VTC-2001, Atlantic City, USA, October 2001.
  • 2 http//www.tgnsync.org/techdocs/tgnsync-propos
    al-technical-specification.pdf
  • 3 Juha Heikala, John Terry, OFDM Wireless
    LANs A Theoretical and Practical Guide 2002
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