Project:%20IEEE%20P802.15%20Working%20Group%20for%20Wireless%20Personal%20Area%20Networks%20(WPANs) - PowerPoint PPT Presentation

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Project:%20IEEE%20P802.15%20Working%20Group%20for%20Wireless%20Personal%20Area%20Networks%20(WPANs)

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Title: Project:%20IEEE%20P802.15%20Working%20Group%20for%20Wireless%20Personal%20Area%20Networks%20(WPANs)


1
Project IEEE P802.15 Working Group for Wireless
Personal Area Networks (WPANs) Submission Title
Mitubishi Electric Proposal Time-Hopping Impulse
Radio Date Submitted May 5th, 2003 Source
Andreas F. Molisch et al., Mitsubishi Electric
Research Laboratories Address MERL, 201 Broadway
Cambridge, MA, 02139, USA Voice 1 617 621
7558, FAX 1 617 621 7550 , E-Mail
Andreas.Molisch_at_ieee.org Re Response to Call
for Proposals Abstract We present a standards
proposal for a high-data-rate physical layer of a
Personal Area Network, using ultrawideband
transmission. The air interface is based on
time-hopping impulse radio, using BPSK for the
modulation, and in addition polarity
randomization of the pulses within the symbol.
Combinations of delayed and weighted pulses allow
an efficient shaping of the spectrum. This
provides good suppression of interference, and
guarantees fulfillment of coexistence
requirements. The system is designed to have A/D
conversion and digital processing only at the
symbol rate, not the chip rate. Costs are
comparable to Bluetooth. Purpose Proposing a
PHY-layer interface for standardization by
802.15.3a Notice This document has been
prepared to assist the IEEE P802.15. It is
offered as a basis for discussion and is not
binding on the contributing individual(s) or
organization(s). The material in this document is
subject to change in form and content after
further study. The contributor(s) reserve(s) the
right to add, amend or withdraw material
contained herein. Release The contributor
acknowledges and accepts that this contribution
becomes the property of IEEE and may be made
publicly available by P802.15.
2
Ultra WideBand
  • Mitsubishi Electric Proposal
  • Time-Hopping Impulse Radio
  • A. F. Molisch, Y.-P. Nakache, P. Orlik, J. Zhang
  • Mitsubishi Electric Research Lab
  • S. Y. Kung, Y. Wu, H. Kobayashi, S. Gezici, E.
    Fishler, V. Poor
  • Princeton University
  • Y. G. Li
  • Georgia Institute of Technology
  • H. Sheng, A. Haimovich
  • New Jersey Institute of Technology

3
Contents
  • System overview
  • Physical-layer details
  • Performance evaluation
  • Signal robustness
  • Coexistence
  • Cost analysis
  • Summary and conclusions

4
Goals and Solutions
  • Commonly used technology
  • ? Time hopping impulse radio
  • Fulfillment of spectral mask, but full
    exploitation of allowed power. Interference
    suppression
  • ? Linear combination of basis pulses
  • Cheap implementation, robustness to multipath
  • ? Few Rake fingers, all A/D conversion and
    computation done at 200MHz
  • Scalability
  • ? Multi-code transmission

5
Creation of Proposal
  • Proposal based on
  • Scientific experience of leading research groups
    (Princeton, Georgia Tech, MERL, MELCO)
  • Practical experience of high-quality product
    development team of Mitsubishi in USA and Japan
  • Experience in hardware (RF components, antennas,
    semiconductor, applications,..) and applications
    design

6
Transmitter Structure
Sync. Training Sequence
Central Timing Control
Convolutional Code
Multiplexer
Timing Logic
Pulse Gen. TH Seq.-1
Polarity Scrambler
Power Control
Demultiplexer
Data Source
Convolutional Code
Multiplexer
Polarity Scrambler
Timing Logic
Pulse Gen. TH Seq.-N
7
Receiver Structure
Synchronization
Timing Control
Channel Estimation
Rake Receiver Finger 1
AGC
Rake Receiver Finger 2
Demultiplexer
MMSE Equalizer
Convolutional Decoder
Summer
Data Sink
Rake Receiver Finger Np
8
Contents
  • System overview
  • Physical-layer details
  • acquisition
  • channel estimation
  • polarity hopping
  • spectral shaping
  • Rake structure
  • Performance evaluation
  • Summary and conclusions

9
Fast acquisition
  • template signal and received signal need to be
    aligned
  • standard method serial search (chip by chip)
  • but chip duration very short in UWB, takes long
    time
  • our solution
  • Beacon provides rough timing estimation (within
    runtime of the piconet diameter)
  • new block search methods for actual acquisition

10
Block Search Algorithms
  • Steps in acquisition
  • Find delay region where signal is likely to exist
  • After finding it, search in more detail for first
    significant path
  • Block search algorithm
  • Sequantial block search (SBS) integrate output
    of detector over delay region (block), search for
    block with significant energy. Best for LOS
  • Average block search (ABS) average over absolute
    values of detector output. Best for NLOS

11
Sequential Block Search
  • 1) Check the bth block using the first template
    signal (t).
  • 2) If the output of the bth block is not higher
    than a block threshold, tb, then, go to step 6.
  • 3) If the output of the bth block is higher than
    the block threshold, tb, then search the block in
    more detail, i.e., cell-by-cell serial search
    with a signal threshold ts, using the second
    template signal (t).
  • 4) If no signal cell is detected in the block, go
    to step 6.
  • 5) If the signal cell is detected in the block,
    DONE.
  • 6) Set b (b mod B) 1 and go to step 1.

12
Average Block Search
  • 1) Check difference between successive averages
    wi mod B - w(i-1) mod B.
  • 2) If the difference is not higher than a first
    threshold go to step 6.
  • 3) If the difference is higher than, check
  • z(i mod B)K1, , z(i mod B)1)K serially,
    comparing to a second threshold, .
  • 4) If no signal cells detected, go to step 6.
  • 5) If signal cell(s) are detected, DONE.
  • 6) Set i (i 1) mod B, and go to step 1.

13
Channel Estimation
  • Swept delay correlator
  • Principle estimating only one channel sample per
    symbol.
  • Similar concept as STDCC channel sounder of Cox
    (1973).
  • Sampler, AD converter operating at SYMBOL
    frequency
  • Requires longer training sequence
  • Three-step procedure for estimating coefficients
  • With lower accuracy estimate at which taps
    energy is significant
  • With higher accuracy determine tap weights
  • Determine effective channel seen by equalizer
  • Silence periods for estimation of interference

14
Channel Estimator Block Diagram
Adj.Weight
Multiplier Low-Pass Filter
S
Rake receiver Output
Programmable Training Waveform Gen.
Rake Finger 1
EQ Output
ReceiverFront End
MMSE Equalizer
Multiplier Low-Pass Filter
Adj.Weight
Programmable Training Waveform Gen.
Rake Finger 2
Coefficients
Multiplier Low-Pass Filter
Adj.Weight
Equalizer Estimator
Programmable Training Waveform GEN.
Rake Finger N
Channel Estimator
EQ Training Sequence
Timing Controller
Channel Estimation Output
15
Estimator algorithm
evaluation of one sample per 5ns interval, offset
by Tc
16
Estimator
  • Multi-step procedure
  • estimate which taps have significant weights
  • estimate tap weights for L significant taps
  • determine Rake receiver weights via minimum mean
    square error criterion
  • determine equivalent (symbol-spaced) channel from
    transmitter to output Rake receiver
  • find equalizer for this equivalent channel (MMSE)

17
Modulation and Multiple Access
  • Multiple access
  • Combination of pulse-position-hopping and
    polarity hopping for multiple access
  • More degrees of freedom for design of good
    hopping sequence than pure pulse-position-hopping
  • Short hopping sequences, to make equalizer
    implementation easier
  • Modulation BPSK
  • Channel coding
  • rate ½ convolutional code
  • requires 4dB SNR for 10-5 BER
  • Improvement by 3dB possible by turbo codes

18
Spectral Shaping Interference Suppression
  • Basis pulse fifth derivative of Gaussian pulse
  • Drawbacks
  • Loses 3dB compared to FCC-allowed power
  • Strong radiation at 2.45 and 5.2 GHz

Monocycle, 5th derivative of gaussian pulse
Power spectral density of the monocycle
10log10P(f)2 dB
Magnitude of p(t)
Time (s)
frequency (Hz)
19
Linear Pulse Combination
  • Solution linear combination of delayed, weighted
    pulses
  • Adaptive determination of weight and delay
  • Number of pulses and delay range restricted
  • Can adjust to interferers at different distances
  • (required nulldepth) and frequencies
  • Weight/delay adaptation in two-step procedure
  • Initialization as solution to quadratic
    optimization problem (closed-form)
  • Refinement by back-propagating neural network
  • Matched filter at receiver ?good spectrum helps
    coexistence and interference suppression

20
Initialization
  • find modified mask that follows FCC and
    required interference suppression (e.g., 20dB for
    802.11a
  • approximate optimum filling of mask as
  • solution of this in closed form (eigenvector
    belonging to largest eigenvalue)

21
Iterative Refinement
  • backpropagating neural network

22
Rake Receiver
  • Main component of Rake finger pulse generator
  • A/D converter 3-bit, operating at 220Msamples/s
  • No adjustable delay elements required

23
Contents
  • System overview
  • Physical-layer details
  • Performance evaluation
  • Signal robustness
  • Coexistence
  • Cost analysis
  • Summary and conclusions

24
Link Budget
25
PER as Function of Distance
26
Probability of Link Success
Sensitivities AWGN 13m cm1 6.8 cm2 6.2 cm3
5.3 cm4 5.0
27
Outage vs. SNR
28
Single co-channel interferer separation distance
29
Single co-channel interferer separation distance
30
Single co-channel interferer separation distance
31
Single co-channel interferer separation distance
32
Susceptibility to Interference
  • Piconets
  • 20 first realizations of the 4 channel model and
    AWGN
  • Desired user 6dB above sensitivity
  • admissible distance of interferer between 0.5
    and 1.5m
  • 802.11a influence only when interferer less than
    0.4m distance, in CM2
  • 802.11b no noticeable influence (even at 0.3m
    distance of interferers) in all cases

33
Coexistence (at 1m)
34
Cost Estimates (for 110Mbit/s mode)
  • TX
  • Digital
  • Coders 100k gates
  • timing logic lt100k gates
  • RF
  • Pulse generators (4) 0.6mm2
  • Polarity scramblers 0.04mm2
  • Summers 0.04mm2

35
Cost Estimates (for 110Mbit/s mode)
  • RX
  • Digital
  • Viterbi Decoder 100k gates
  • timing logic lt100k gates
  • MMSE equalizer 50k gates
  • Rake finger weighting and summing lt50k gates
  • RF
  • LNA (11dB SNR) 0.05mm2
  • Pulse generators (210) 3.2mm2
  • Polarity descramblers 0.04mm2
  • Low-pass filters 0.48mm2
  • Summers 0.04mm2

36
Cost Estimates - Summary
  • RF part
  • total die size lt10mm2 less than Bluetooth
  • 0.18mu CMOS technology sufficient
  • Digital part
  • Less than 500k gates
  • Operation at 220Mbit/s
  • Antenna cavity-backed spiral antenna
  • Total costs comparable to Bluetooth

37
Self-Evaluation (I)
38
Self-Evaluation (II)
39
Summary and Conclusions
  • TH-IR based standards proposal
  • Meets targets of 802.15.3a for LOS
  • Innovative way to manage spectrum
  • Meet FCC requirements
  • Improve performance in interference environment
  • Decrease interference to other systems
  • Allows cheap implementation
  • All digital operations at symbol rate, not chip
    rate
  • Scaleable
  • Multicode / multirate system.
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