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MIMO Technology for Advanced Wireless Local Area Networks

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MIMO Technology for Advanced Wireless Local Area Networks Dr. Won-Joon Choi Dr. Qinfang Sun Dr. Jeffrey M. Gilbert Atheros Communications MIMO RAKE Antenna Technology ... – PowerPoint PPT presentation

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Title: MIMO Technology for Advanced Wireless Local Area Networks


1
MIMO Technology for Advanced Wireless Local Area
Networks Dr. Won-Joon ChoiDr. Qinfang Sun Dr.
Jeffrey M. Gilbert Atheros Communications MIMO
RAKE Antenna Technology for Advanced MIMO
Wireless WAN and LAN Pr. Jean-Claude
Ducasse Hypercable Telecommunications
2
What Is Being Proposed for 802.11n?
  • Main Features
  • PHY
  • MIMO-OFDM
  • Beamforming
  • Spatial Multiplexing
  • Extended bandwidth (40MHz)
  • Advanced coding
  • MAC
  • Aggregation
  • Block ACK
  • Coexistence
  • Power saving

3
Wireless Fundamentals I
  • In order to successfully decode data, signal
    strength needs to be greater than noise
    interference by a certain amount
  • Higher data rates require higher SINR (Signal to
    Noise and Interference Ratio)
  • Signal strength decreases with increased range in
    a wireless environment

4
Wireless Fundamentals II
  • Ways to increase data rate
  • Conventional single tx and rx radio systems
  • Increase transmit power
  • Subject to power amplifier and regulatory limits
  • Increases interference to other devices
  • Reduces battery life
  • Use high gain directional antennas
  • Fixed direction(s) limit coverage to given
    sector(s)
  • Use more frequency spectrum
  • Subject to FCC / regulatory domain constraints
  • Advanced MIMO Use multiple tx and / or rx radios!

5
Conventional (SISO) Wireless Systems
DSP
Bits
DSP
Radio
Radio
Bits
TX
RX
  • Conventional Single Input Single Output (SISO)
    systems were favored for simplicity and low-cost
    but have some shortcomings
  • Outage occurs if antennas fall into null
  • Switching between different antennas can help
  • Energy is wasted by sending in all directions
  • Can cause additional interference to others
  • Sensitive to interference from all directions
  • Output power limited by single power amplifier

6
MIMO Wireless Systems
Radio
Radio
DSP
DSP
Bits
Bits
Radio
Radio
TX
RX
  • Multiple Input Multiple Output (MIMO) systems
    with multiple parallel radios improve the
    following
  • Outages reduced by using information from
    multiple antennas
  • Transmit power can be increased via multiple
    power amplifiers
  • Higher throughputs possible
  • Transmit and receive interference limited by some
    techniques

7
MIMO Alternatives
  • There are two basic types of MIMO technology
  • Beamforming MIMO
  • Standards-compatible techniques to improve the
    range of existing data rates using transmit and
    receive beamforming
  • Also reduces transmit interference and improves
    receive interference tolerance
  • Spatial-multiplexing MIMO
  • Allows even higher data rates by transmitting
    parallel data streams in the same frequency
    spectrum
  • Fundamentally changes the on-air format of
    signals
  • Requires new standard (11n) for standards-based
    operation
  • Proprietary modes possible but cannot help legacy
    devices

8
Beamforming MIMO Overview
  • Consists of two parts to make standard 802.11
    signals better
  • Uses multiple transmit and/or receive radios to
    form coherent 802.11a/b/g compatible signals
  • Receive beamforming / combining boosts reception
    of standard 802.11 signals

DSP
Radio
Bits
Bits
Radio
TX
Radio
RX
  • Phased array transmit beamforming to focus energy
    to each receiver

DSP
Radio
Bits
Bits
Radio
Radio
RX
TX
9
Benefits of Beamforming
  • Benefits
  • Power gain (applicable only to transmit
    beamforming)
  • Power from multiple PAs simultaneously (up to
    regulatory limits)
  • Relaxes PA requirements, increases total output
    power delivered
  • Array gain dynamic high-gain antenna
  • Interference reduction
  • Reduce co-channel inter-cell interference
  • Diversity gain combats fading effects
  • Multipath mitigation
  • Per- subcarrier beamforming to reduce spectral
    nulls

10
Multipath Mitigation
  • Multiple transmit and receive radios allow
    compensation of notches on one channel by
    non-notches in the other
  • Same performance gains with either multiple tx or
    rx radios and greater gains with both multiple tx
    and rx radios

11
Spatial Multiplexing MIMO Concept
  • Spatial multiplexing concept
  • Form multiple independent links (on same channel)
    between transmitter and receiver to communicate
    at higher total data rates

Radio
DSP
Radio
DSP
BitMerge
BitSplit
Bits
Bits
Radio
DSP
Radio
DSP
RX
TX
12
MIMO RAKE Antenna Concept
  • Dual Circular Polarization Diversity
  • Spatial Multiplexing
  • Multipath Mitigation
  • Space diversity
  • Beamforming

Radio
Radio
Radio
Radio
DSP
DSP
DSP
DSP
BitSplit
BitSplit
Bits
TX
TX
GIGABIT I/O POE
Bits
Bits
Bits
Bits
13
Spatial Multiplexing MIMO Difficulties
  • Spatial multiplexing concept
  • Form multiple independent links (on same channel)
    between transmitter and receiver to communicate
    at higher total data rates
  • However, there are cross-paths between antennas

Radio
DSP
Radio
DSP
BitMerge
BitSplit
Garbage
Bits
Radio
DSP
Radio
DSP
RX
TX
14
Spatial Multiplexing MIMO Reality
  • Spatial multiplexing concept
  • Form multiple independent links (on same channel)
    between transmitter and receiver to communicate
    at higher total data rates
  • However, there are cross-paths between antennas
  • The correlation must be decoupled by digital
    signal processing algorithms

DSP
Radio
DSP
Radio
BitMerge
BitSplit
Bits
Bits
Radio
DSP
Radio
RX
TX
15
MIMO RAKE Antenna Solution
  • Dual Circular Polarization Diversity
  • Spatial Multiplexing
  • Multipath Mitigation
  • Space diversity
  • Beamforming

Radio
Radio
Radio
Radio
DSP
DSP
DSP
DSP
BitSplit
BitSplit
Bits
TX
TX
GIGABIT I/O POE
Bits
Bits
Bits
Bits
16
Spatial Multiplexing MIMO Theory
  • High data rate
  • Data rate increases by the minimum of number of
    transmit and receive antennas
  • Detection is conceptually solving equations
  • Example of 2-by-2 system
  • Transmitted signal is unknown,
  • Received signal is known,
  • Related by the channel coefficients,
  • Need more equations than unknowns to succeed
  • High spectral efficiency
  • Higher data rate in the same bandwidth

17
MIMO Scalability
  • Data Rates
  • R Es Bw Ns -gt Scales with bandwidth and the
    number of spatial streams
  • Example
  • 11a/g Es 2.7 Bw 20MHz Ns1 R 54Mbps
  • Spatial multiplexing MIMO
  • Es 3.75 Bw40MHzNs 2 R 300Mbps
  • Number of Tx/Rx chains
  • At least as many chains as Ns
  • Ns min(NR, NT)

18
MIMO Hardware Requirements
  • MIMO Transmitter (parallelism and data rate
    scaling)

IFFT
MOD
RF
Stream Split
Spatial Mapping
FEC
RF
IFFT
MOD
1 O(BwEsNs)
Ns O(BwEs)
1 O(BwEsNsNT)
NT O(BwEs)
NT Analog RF
19
MIMO Hardware Requirements
  • MIMO Receiver (parallelism and data rate scaling)

Demod
RF
Stream Merge
MIMO Equalizer
RF
Demod
1 O(BwEsNs)
NR Analog RF
1 O(BwEsNRNs2)
NR O(BwEs)
Ns O(BwEs)
Ns O(BwEs)
20
Conclusions
  • The next generation WLAN uses MIMO technology
  • Beamforming MIMO technology
  • Extends range of existing data rates by transmit
    and receive beamforming
  • Spatial-multiplexing MIMO technology
  • Increases data rates by transmitting parallel
    data streams
  • MIMO allows system designers to leverage Moores
    law to deliver higher performance wireless
    systems
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