Design Considerations for Cognitive White Space … · Design Considerations for Cognitive White...
Transcript of Design Considerations for Cognitive White Space … · Design Considerations for Cognitive White...
Design Considerations for Cognitive Design Considerations for Cognitive White Space Networks
Narayan Mandayam y yDipankar Raychaudhuri
WINLAB Rutgers UniversityWINLAB, Rutgers University
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What is White Space? TV Band Devices: Fixed or Portable
Max. Fixed antenna height = 30m, Portable < 3m Permissible channels (6MHz each) Permissible channels (6MHz each)
XNew Rulingon Sep 23 2010
Transmit Restrictions Protected region around primary TV transmitters Sense and avoid protected devices Sense and avoid protected devices TX power:
Fixed:30 dBm (6dBi antenna gain) = 4W EIRP, Co- and Adjacent-channel not allowed
Portable: 20 dBm (no antenna gain) = 100mW
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Portable: 20 dBm (no antenna gain) = 100mW, Co-channel not allowed, Adjacent = 16 dBm
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What is “Really” White Space?
Economist ≈ $m Markets, Property
Regulator/Politician≈ $≈ $ votes
Social Good Engineer
N T h l C iti R di ≈ ¢
≈ $, votes
New Technology, Cognitive Radios Folks who are “out there”
Free speech Bill of Rights
≈ ¢priceless
Free speech, Bill of Rights Communication/Information Theorist
W
p
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How much White Space is there?
Example of NJ TV Towers around NY City & Philadelphia TV Towers around NY City & Philadelphia
# f h l (fi d) # f 5X5 i id# of channels (fixed) vs. # of 5X5 sq. mi. grids
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Radio Coverage Prime spectrum with a wide range of applications
~50-200 MHz available depending on TV transmitter density Power constraints result in achievable bit-rate profile for fixed-w n n u n p f f f
fixed, fixed-mobile, and mobile-mobile ~5 Mbps @ 2Km range for LOS fixed-mobile ~3-5x WiFi range for non-LOS services, e.g. ~50 Mbps @ 250mg g p
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White Space NetworksR f bl h d Range of possible usage scenarios, with sweet spot in outdoor networks with medium range and speed
Bit-Rate
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Sample Applications: Cellular Data Boost
“Cellular data boost” network can be used to offload fast-growing cellular traffic using dual-mode radio Mesh network of outdoor white space hot spots; backhaul data to existing BTS Mesh network of outdoor white space hot spots; backhaul data to existing BTS Intended for transport of non-real time data such as mail, content, facebook … Potential for ~2-5x capacity boost depending on % coverage & service mix
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Sample Applications: Distribution/Backhaul
DISTRIBUTION AND BACKHAULUSING WHITE SPACE
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Sample Applications: Long range V2V/Emergency Network
Long-range V2V useful for traffic control/warnings, geographic apps, p2p content, etc. Supplements short-range 802.11p/DSRC V2V links (from mandated car radios?) can be used to form a high capacity V2V links (from mandated car radios?) can be used to form a high capacity
emergency backup network using ad hoc mesh between cars and fixed AP’s Application requirements well matched with WS range/bit-rate properties
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Sample Applications: Cognitive Digital Home
GENIE NODE
Central spectrum managerService Provision Device
Provides end-user serviceRelay and Wireless Access Devices
Provides relay/connectivity support
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p g Provides relay/connectivity support
Design Implications for White Space NetworksWhite space radio systems require the following building blocks:
Flexible BW PHY preferably operating in non contiguous spectrum Flexible BW PHY, preferably operating in non-contiguous spectrum
Spectrum sensing for TV primary and other incumbents
Opportunistic link layer access with distributed congestion control procedures for fair sharing among secondary users
Discovery and bootstrap protocols for ad hoc network formation
Common coordination channels and/or spectrum servers for improved Common coordination channels and/or spectrum servers for improved coordination among multiple types of secondary users
… and of course, cognitive SDR platforms (wideband, flexible, low-cost)
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… and of course, cognitive SDR platforms (wideband, flexible, low cost)
WS Building Blocks: Spectrum Sensing
Sensing module required to reliably detect TV and incumbents Simple methods such as energy detection higher order statistics Simple methods such as energy detection higher order statistics
(HOS) Further improvements with receiver feedback, cooperation, data base …
Probability of Detection vs Sensing Time for Pfa =0.1TV White Space Sensing Scenario
Wireless Microphones
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WS Building Blocks: NC OFDMA PHY
NC OFDMA approach used to opportunistically fill spectrum p
Center freq White Space
Primary
freq
Min tones needed for
Al d ll f fl ibl h i f
Min. tones needed for freq. synchronization
Also need to allow for flexible spectrum sharing for secondary coexistence
Link rendezvous protocol needed for mutual
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pagreement on carriers used at TX and RX
WS Building Blocks: NC OFDMA MAC
NC OFDMA offers the possibility of a simple FDMA MAC instead of CSMA or TDMA (..CSMA may still be used for end-user access)
Simplifies ad hoc network operation and avoid classical mesh self interference and exposed node problems
Requires a cooperative access policy (i.e. not greedy, and with some form of congestion backpressure)g p
f1
f2
f3
rate r1 rate r2 rate r3
f1
LINK 1
freq
LINK 2 LINK 3
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Rates r1, r2, r3 periodically adjusted via cooperative procedures
Secondary Coexistence: Reactive Schemes
Reactive (autonomous) methods used to avoid interference via: Frequency agility: dynamic channel allocation by scanning Power control: power control by interference detection and scanning Power control: power control by interference detection and scanning Time scheduling: MAC packet re-scheduling based on observed activity Waveform agility: dynamism in signal space
Reactive schemes (without explicit coordination protocols) have limitations: Interference is a receiver property!
B
C
D’s agile radio waveformwithout coordination protocol
B
C
D’s agile radio waveformwithout coordination protocol
Coverage area of D
Y
A
D
A cannot hear DA’s agile radio waveform
with coordination
Coverage area of D
Y
A
D
A cannot hear DA’s agile radio waveform
with coordination
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Hidden Terminal Problem
Coverage area of A
Hidden Terminal Problem
Cognitive Approaches: Outlook Cognitive radio networks require a large of amount of network (and
channel) state information to enable efficient Discovery, Self-organization Resource Management Cooperation Techniques
S l bilit ?
CBootstrapped PHY &control link
End-to-end routed pathFrom A to F
Scalability?
BB
DD
E
PHY A
PHY BPHY C
AA
F
Control(e.g. CSCC)
Multi-mode radio PHYAd-Hoc Discovery& Routing Capability
F ti lit b it
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Functionality can be quitechallenging!
Cognitive Radios need help too!
Architectures that can facilitate secondary coexistence
Examples of coordination mechanisms:
Information aids Information aids “Spectrum Coordination Channel” to enable
spectrum sharingp g “Global Control Plane” for coordination
Network architectures “Spectrum Servers” to advise/mediate sharing
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Architectures for Secondary Coexistence
Secondary co-existence an important requirement for WS Various schemes possible depending on system model Various schemes possible depending on system model
Completely autonomous, using performance feedback only Common coordination channel Common Internet based spectrum server
Spectrum Server (optional)
WS APw/ backhaul
freq
Secondary A Spectrum
Secondary BSpectrumInternet
WS MobileAccess Protocol
Controlinformation
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Secondary System A Secondary System BCommon Coordination Channel (optional)
WSN Prototyping: Cognitive Radio Platforms
USRP
RICE WARP PlatformU. Of Colorado
WINLABWINLAB WINC2R System
WINLAB/RST GENI SDR SystemUSRP2