My Master's students use ideas from my (Jeff Funk) forthcoming book (Technology Change and the Rise of New Industries) to analyze the economic and technical feasibility of cognitive radio. See my other slides for details on concepts, methodology, and other new industries.
CR : smart radio that has the ability to sense the external environment, learn from the history and make intelligent decisions to adjust its transmission parameters according
to the current state of the environment.
CR : smart radio that has the ability to sense the external environment, learn from the history and make intelligent decisions to adjust its transmission parameters according
to the current state of the environment.
Cognitive Radio : Emerging Business Toward an Efficiently Smart Era of ICTNurmaya Widuri
Cognitive Radio is a hot issue in wireless technology. This is ultimately new wave of how radio technolgy communicate through spectrum effeciency. Furthermore, this new big thing bring a new wave of future ICT business lanscape toward efficiently smart era of ICT.
An overview of cognitive radio, comparison of cognitive radio vs. conventional radio, real-world applications for cognitive radio networks, how cognitive radios improve spectrum efficiency and address the wireless spectrum shortage.
CR technology is based on the fact that the licensed systems (also named primary systems PS) are not always using their spectrum bands; CR brings new radio types—cognitive radios—that should firstly, identify the existing spectrum holes, and secondly, utilize them according to an access.
NetSim(http://www.tetcos.com/ ) Simulator provide Cognative Radio network
follow this link for more Details
http://www.tetcos.com/
Cognitive radio (CR) is a form of wireless communication in which a transceiver can intelligently detect which communication channels are in use and which are not, and instantly move into vacant channels while avoiding occupied ones
In this prentation cognitive radio is described, discussed
and compared with software defined radio (SDR). The two types
of cognitive radio are presented and examples on both spectrum
interweave and spectrum underlay cognitive radio antenna systems
are detailed. Reconfigurable filtennas are proposed as communicating
antennas in a MIMO setting for both cases of cognitive
radio. The benefits of resorting to filtennas as well as toMIMO
configuration is shown and discussed herein. The various antenna
examples are designed, tested and compared with each other. Conclusions
are drawn based on the presented results.
Cognitive Radio : Emerging Business Toward an Efficiently Smart Era of ICTNurmaya Widuri
Cognitive Radio is a hot issue in wireless technology. This is ultimately new wave of how radio technolgy communicate through spectrum effeciency. Furthermore, this new big thing bring a new wave of future ICT business lanscape toward efficiently smart era of ICT.
An overview of cognitive radio, comparison of cognitive radio vs. conventional radio, real-world applications for cognitive radio networks, how cognitive radios improve spectrum efficiency and address the wireless spectrum shortage.
CR technology is based on the fact that the licensed systems (also named primary systems PS) are not always using their spectrum bands; CR brings new radio types—cognitive radios—that should firstly, identify the existing spectrum holes, and secondly, utilize them according to an access.
NetSim(http://www.tetcos.com/ ) Simulator provide Cognative Radio network
follow this link for more Details
http://www.tetcos.com/
Cognitive radio (CR) is a form of wireless communication in which a transceiver can intelligently detect which communication channels are in use and which are not, and instantly move into vacant channels while avoiding occupied ones
In this prentation cognitive radio is described, discussed
and compared with software defined radio (SDR). The two types
of cognitive radio are presented and examples on both spectrum
interweave and spectrum underlay cognitive radio antenna systems
are detailed. Reconfigurable filtennas are proposed as communicating
antennas in a MIMO setting for both cases of cognitive
radio. The benefits of resorting to filtennas as well as toMIMO
configuration is shown and discussed herein. The various antenna
examples are designed, tested and compared with each other. Conclusions
are drawn based on the presented results.
Authoritative summary update from GSA (Global mobile Suppliers Association) of the worldwide LTE market status: network deployments and commercial launches, availability of LTE user devices, subscriptions growth and regional shares, regulatory enablers
CORE+ Cognitive Radio Trial EnvironmentMarko Palola
The CORE+ trial environment shows world’s first live LSA/ASA trial using TD-LTE base stations in the 2.3 GHz band.
Presentation about CORE+ Cognitive Radio Trial Environment in WWRF meeting 30, Oulu, Finland, 23rd of April 2013
Performance Comparison of Energy Detection Based Spectrum Sensing for Cogniti...irjes
With the rapid deployment of new wireless devices and applications, the last decade has witnessed a growing
demand for wireless radio spectrum. However, the policy of fixed spectrum assignment produces a bottleneck for more
efficient spectrum utilization, such that a great portion of the licensed spectrum is severely under-utilized. So the concept of
cognitive radio was introduced to address this issue.The inefficient usage of the limited spectrum necessitates the
development of dynamic spectrum access techniques, where users who have no spectrum licenses, also known as secondary
users, are allowed to use the temporarily unused licensed spectrum. For this purpose we have to know the presence or
absence of primary users for spectrum usage. So spectrums sensing is one of the major requirements of cognitive radio.Many
spectrum sensing techniques have been developed to sense the presence or absence of a licensed user. This paper evaluates
the performance of the energy detection based spectrum sensing technique in noisy and fading environments.The
performance of the energy detection technique will be evaluated by use of Receiver Operating Characteristics (ROC) curves
over additive white Gaussian noise (AWGN) and fading channels.
A cognitive radio (CR) is a radio that can be programmed and configured dynamically to use the best wireless channels in its vicinity to avoid user interference and congestion. Such a radio automatically detects available channels in wireless spectrum, then accordingly changes its transmission or reception parameters to allow more concurrent wireless communications in a given spectrum band at one location. This process is a form of dynamic spectrum management.
It can also be defined as, it is a form of wireless communication in which a transceiver can intelligently detect which communication channels are in use and which ones are not. The transceiver then instantly moves into vacant channels, while avoiding occupied ones. These capabilities help optimize the use of the available radio frequency (RF) spectrum.
It also minimizes interference to other users. And, by avoiding occupied channels, it increases spectrum efficiency and improves the quality of service (QoS) for users.
Investigation of TV White Space for Maximum Spectrum Utilization in a Cellula...Onyebuchi nosiri
Abstract— The shortage of spectrum resource availability in wireless communication network due to the rapid increase in the number of subscribers and multimedia applications has given rise to the need for effective spectrum utilization of the licensed spectrum. Cognitive Radio Technology (CRT) was adopted for the system analysis due to its dynamism in accommodating both licensed and unlicensed users within a particular spectrum band. The study framework comprised television station channels in Owerri and its environs and Mobile Telecommunication Networks (MTN) in Owerri- the capital of Imo State, Nigeria as the license and unlicensed users respectively. An outdoor twenty-four hour spectrum occupancy measurement was carried out in the frequency bands of the licensed networks using 240-960 MHz Radio Frequency Spectrum analyzer to determine the spectral usage of the licensed user. A threshold of -95 dB was used to determine the presence of the licensed users. From the results obtained, it was observed that 60.7% of the spectrum band covered was unoccupied, 31.5% was not fully occupied while 7.9% was fully occupied. Energy Detection spectrum approach was implemented by the unlicensed users for easy determination of the spectrum status and resource management. The research therefore determines the status of Radio Frequency (RF) Spectrum receivable in Owerri and its environs and proffer measures deployable in harnessing the unused RF resources using CRT.
Investigation of TV White Space for Maximum Spectrum Utilization in a Cellula...Onyebuchi nosiri
Abstract— The shortage of spectrum resource availability in wireless communication network due to the rapid increase in the number of subscribers and multimedia applications has given rise to the need for effective spectrum utilization of the licensed spectrum. Cognitive Radio Technology (CRT) was adopted for the system analysis due to its dynamism in accommodating both licensed and unlicensed users within a particular spectrum band. The study framework comprised television station channels in Owerri and its environs and Mobile Telecommunication Networks (MTN) in Owerri- the capital of Imo State, Nigeria as the license and unlicensed users respectively. An outdoor twenty-four hour spectrum occupancy measurement was carried out in the frequency bands of the licensed networks using 240-960 MHz Radio Frequency Spectrum analyzer to determine the spectral usage of the licensed user. A threshold of -95 dB was used to determine the presence of the licensed users. From the results obtained, it was observed that 60.7% of the spectrum band covered was unoccupied, 31.5% was not fully occupied while 7.9% was fully occupied. Energy Detection spectrum approach was implemented by the unlicensed users for easy determination of the spectrum status and resource management. The research therefore determines the status of Radio Frequency (RF) Spectrum receivable in Owerri and its environs and proffer measures deployable in harnessing the unused RF resources using CRT.
Investigation of TV White Space for Maximum Spectrum Utilization in a Cellula...Onyebuchi nosiri
Abstract— The shortage of spectrum resource availability in wireless communication network due to the rapid increase in the number of subscribers and multimedia applications has given rise to the need for effective spectrum utilization of the licensed spectrum. Cognitive Radio Technology (CRT) was adopted for the system analysis due to its dynamism in accommodating both licensed and unlicensed users within a particular spectrum band. The study framework comprised television station channels in Owerri and its environs and Mobile Telecommunication Networks (MTN) in Owerri- the capital of Imo State, Nigeria as the license and unlicensed users respectively. An outdoor twenty-four hour spectrum occupancy measurement was carried out in the frequency bands of the licensed networks using 240-960 MHz Radio Frequency Spectrum analyzer to determine the spectral usage of the licensed user. A threshold of -95 dB was used to determine the presence of the licensed users. From the results obtained, it was observed that 60.7% of the spectrum band covered was unoccupied, 31.5% was not fully occupied while 7.9% was fully occupied. Energy Detection spectrum approach was implemented by the unlicensed users for easy determination of the spectrum status and resource management. The research therefore determines the status of Radio Frequency (RF) Spectrum receivable in Owerri and its environs and proffer measures deployable in harnessing the unused RF resources using CRT.
International Journal of Computational Engineering Research(IJCER) ijceronline
International Journal of Computational Engineering Research (IJCER) is dedicated to protecting personal information and will make every reasonable effort to handle collected information appropriately. All information collected, as well as related requests, will be handled as carefully and efficiently as possible in accordance with IJCER standards for integrity and objectivity.
Topics covered in this presentation:
Radio & Microwave Communication.
2. Spectrum Management.
3. Digital Microwave Systems.
4. Fading and measures to counter Fading effect.
5. Digital Microwave link – Performance Objectives.
6. Modulation Methods.
7. A word about BWA
8. Other wireless communication Applications
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Cognitive Radio: When might it Become Economically and Technically Feasible?
1. COGNITIVE RADIO TECHNOLOGY :
An Analysis of Potential Benefits
1 Group 4
MT5009 ANALYZING HI-TECHNOLOGY OPPORTUNITIES
2. cog·ni·tive
/ˈkɒgnɪtɪv [kog-ni-tiv] –adjective
Albert Salim
A0026151W
1. of or pertaining to cognition.
2. of or pertaining to the mental processes of
perception, memory, judgment, and reasoning, as
contrasted with emotional and volitional processes.
Tan How
Ho Kai Hong
Boon, Jason
A0076866L
A0077139X
Group
ra·di·o Members
/ˈreɪdiˌoʊ/ [rey-dee-oh] - noun
1. wireless telegraphy or telephony: speeches
broadcast by radio.
2. an apparatus for receiving or transmitting radio
broadcasts. Stefanus Wong Seong
Yudanto Yin
A0076858J A0076890R
COGNITIVE RADIO TECHNOLOGY 2
4. 4
1 Radio-communication 101 and
spectrum usage
5. CURRENT PARADIGM - SPECTRUM
Radio waves can travel quite a distance and, are able to disturb other
communications services resulting in interference
This makes the radio spectrum a scarce natural resource
Provides us with technical standards,
Recommendations and procedures to
solve the above mentioned problem.
Assign licenses to users.
Gives an exclusive right to operate on a specific
frequency in a specific location or geographic area
Compliance of spectrum users with the license
obligations is monitored and enforced.
5
Thus, avoiding interference seems to be a question of proper
planning and coordination, and using the right equipment.
6. EVOLUTION OF RADIO
1.Hardware driven radios:
Transmit frequencies, modulation type and
other radio frequency (RF) parameters are
determined by hardware and cannot be
changed without hardware changes.
2. Digital radios:
A digital radio performs part of the signal
processing or transmission digitally, but is not
programmable in the field
3. Software Defined Radios:
All functions, modes and applications can 6
be configured and reconfigured by
software
7. RADIO SPECTRUM: THE UNSEEN GOLD
Common Frequency Band
AM radio - 535 kHz to 1.7 kHz
Short wave radio - bands from 5.9 to 26.1 MHz
Television stations - 54 to 88 MHz for channels 2 - 6
FM radio - 88 to 108 MHz
Television stations - 174 to 220 MHz for channels 7 - 13
Other Frequency Uses
• Garage door openers - Around 40 MHz
• Standard cordless phones: Bands from 40 to 50 MHz
• Baby monitors: 49 MHz
• Radio controlled airplanes: Around 72 MHz
• Radio controlled cars: Around 75 MHz
• Wildlife tracking collars: 215 to 220 MHz
• Cell phones: 800 to 900 MHz
• Air traffic control radar: 960 to 1,215 MHz
• GPS: 1.227 & 1.575 GHz
• Deep space radio communications: 2.290 to 2.3 GHz 7
8. RADIO SPECTRUM PLAN
“Radio Spectrum Master Plan”, Annex 1, Page 14, IDA RSMP v2.1 April 2008, IDA Website
Broadcasting
Mobile Services Fixed Services Short Range Devices
Services
• Public Cellular Mobile • Point to point fixed • Digital Broadcast • Radio Local Area
• Public Radio Paging links • Analog Broadcast Networks
8
• Mobile Data • Fixed wireless access • Ultra wideband
• Trunked Radio • High Altitude Platform
• Wireless Broadband Stations
• Other fixed services
9. EXISTING SPECTRUM UTILISATION
I’m an
M1 user...
Your Operator pays
BUT
SGD 20 million
for 10 MHz of 9
“Spectrum-Sharing Research and Policy Formulation in Asia-Pacific”, Presentation by IDA CTO Dr Tan
3G Spectrum!
Geok Leng
11. SO WHAT IF….
All Available!
No Lower cost Lower phone 11
Scarcity for operators bills for you??
12. 12
2 Cognitive Radio – So what‟s the big deal?
13. VALUE PROPOSITION
EfficientSpectrum Utilization
Higher Accessibility
Greater Ease of Use
Better Adaptability
Improved Interconnectivity
Increased Scalability
Improved Reliability
14. IMPROVEMENT IN ACCESSIBILITY
User uses single device to access various networks and services. User
indicates his needs and CR scans for the services available and presents
the options to the user.
Would you like
mobileTV ?
Would you like
SatTV ? Would you like
InternetTV ?
Cellular services
Satellite services
WiFi services
Broadcasting services
other services
I wish to
watch a
Would you like 14
movie
BroadcastTV ?
15. IMPROVEMENT IN EASE OF USE
Device is aware of user‟s goals and priorities, and capable of
autonomously adjusting its operation to simplify the tasks and relieve
user from burden of manual intervention.
Cellular services
WiFi services
A home Wifi network is now
available, I‟d switch over since this
is „lower cost / higher user
preference‟ 15
16. IMPROVEMENT IN ADAPTABILITY
Device adapts automatically to local environment. When user
roams across borders, the device performs self-adjustment to stay
in compliance with local radio operations and emissions
regulations.
16
17. IMPROVEMENT IN INTERCONNECTIVITY
Cognitive radio enables ease of communications among multi-
terminal / multi-frequency communication devices.
17
18. IMPROVEMENT IN SCALABILITY
Devices communicate in the form of collaboration among neighbor
devices via a series of hops. The network can potentially scale to
large numbers of users.
Hello
CR enables users to communicate
Hi with each other directly without
transmitting over infrastructure
Hi
CR enables users to communicate with each 18
other in the form of collaboration among
neighbor devices via a series of hops
19. IMPROVEMENT IN RELIABILITY
CR‟s self-configuring mesh wireless networks avoid disruption or
failure by re-routing around node failures or congestion areas,
thereby enabling more robust and reliable communications.
19
20. VALUE PROPOSITION
Improvement in
key components
Spectrum (Integrated Circuit
Utilization High & Antenna) Diffusion
Accessibility Cognitive
Ease of Use Radio
Adaptability Value
Interconnectivity
Scalability Traditional
Reliability Radio
Low
Price, Performance, Size
• Declining Price
• Increasing Performance
• Reducing Size
20
Sources:
S.Wang, L.Xie, H.Liu, B.Zhang, H.Zhao. ACRA: An Autonomic and Expandable Architecture for Cognitive Radio Nodes 978-1-4244-7555-1/10 2010 IEEE
I.Filippini, E.Ekici, M.Cesana - Minimum Maintenance Cost Routing in Cognitive Radio Networks 978-1-4244-5113-5/09 2009 IEEE
P.Carbonne, T.Hain, Market Assessment Report On selected Cognitive Radio Systems value propositions ICT-2007-216248 2009 End-to-End Efficiency
Cognitive Radio Definitions and Nomenclature Approved Document SDRF-06-P-0009-V1.0.0 2008 SDR Forum
22. THE RADIO ARCHITECTURE TODAY
Key
Component
Tunable Antenna
Antenna Control Signal
1
Impedance Power
Coupler Amplifier DAC
Synthesizer
0 Antenna
Control Unit
1 (ACU)
ADC
0
Impedance Synthesizer Control Signal
Key
22
Component
23. COGNITIVE RADIO SOFTWARE
CR Software Functions
Adaptive Self-
algorithms configuration
Wideband
Distributed Mission-oriented
Frequency collaboration configuration
Sensing
Policy and configuration databases
Security 23
Source “Future Directions for Cognitive Radio”, P Pawełczak, Cognitive radio defying Spectrum Management, 2008 W. Lemstra & V. Hayes
24. TECHNOLOGY ENABLER
CR Software Functions
Security
Policy and configuration databases
Wideband
Frequency Adaptive
Self-configuration
Sensing algorithms
Mission-oriented Distributed
configuration collaboration
IC Chip
1
Development
Power Up
Coupler
Amplifi Con. Antenna Improvement criteria
er 0 Control
Unit
• Performance
AD (ACU) • Price
C Feedback Information • Size 24
Source “Future Directions for Cognitive Radio”, P Pawełczak, Cognitive radio defying Spectrum Management, 2008 W. Lemstra & V. Hayes
25. CURRENT COGNITIVE RADIO PROTOTYPE
2.75 billion
transistors
XILINX®
®
VIRTEX - 6 TM
XC6VLX240T
DTX01975842837
57628485789
240,000
reconfigurable
logic cells
Wideband
Self Adaptive
Frequency 25
Configuration Algorithm
Sensing
25
Souce: Harnessing FPGAs for Beamforming Software Radio Systems. Rodger Hosking (February 2011).
From http://www.techbriefs.com/component/content/article/9204?start=1
26. MOVING TOWARDS COMMERCIALIZATION
FPGA ASIC
• Field • Application
Programmable Specific
Gate Array Integrated
• Designed to be Circuit
configured by • Customized for
the customer or a specific use
designer • Cost effective
• Flexibility in
complex design
27. COST ANALYSIS
1 1E+11
1960 1970 1980 1990 2000 2010 2020 Estimated chip
0.1 1E+10
price (2010):
1E+09
0.01
$ 110
Transistor Price (US$)
2.75 billion 100000000
0.001
transistors
10000000
0.0001
1000000
2010 transistor
1E-05
cost: 100000
1E-06 $4 x 10^-8
10000
1E-07 Average chip
1000
price in
1E-08
100
commercial
Transistor Count
Approx. 2017
1E-09 transistor: 10 wireless device
$9.1 x 10^-9
1E-10 1 (2010):
Average transistor price Forecast Average Transistor Price $25
Transistor Count Forecast Transistor Count
2017 27
Sources:
• The Singularity is Near. Ray Kurzweil, (2005) Min. threshold of performance
• .http://www.xilinx.com/
• http://www.altera.com/ Max. threshold of price
• http://www.isuppli.com/
28. SIZE DOES MATTER! Infineon
Future CR Device
X-Gold 618
Concept
35 mm
Pentek Model 71620 8 mm
Apple
iPhone 4
Xilinx Virtex-6
2010 2017 and beyond
Nallatech/Fidelity
Comtech
2006
28
Microsoft-funded prototype
cognitive radio Source: http://www.eetasia.com/ART_8800528084_499488_NP_ec0ab0fd.HTM
29. TRADITIONAL PATCH ANTENNA
Microstrip antenna is a printed antenna, consists of a flat "patch" of
metal, mounted over a larger sheet of metal ground plane.
Materials:
Conducting layers:
- Copper foil
Insulating layers for dielectric (coated):
- epoxy resin prepreg
Dielectric material:
- Polytetrafluoroethylene (Teflon)
- FR-4 (Woven glass and epoxy)
- CEM-1 (Cotton paper and epoxy)
- CEM-3 (Woven glass and epoxy)
The improvement of microstrip antenna is mainly done by modify the
patch design and use in array 29
30. TRADITIONAL ANTENNA OF MOBILE DEVICE
Characteristic – customizable, small size and effective integration with
transceiver chips on circuit boards U shape with different voltage
settings to tune frequency band.
Limitation:
Narrow frequency range,
Limited selectable bands
30
Principles and Applications of The Folded Inverted Conformal Antenna (FICA) Technology – Marco Maddaleno, Timoteo Galia,
Motorola, Conferge 2005
31. KEY COMPONENT OF COGNITIVE RADIO -
ANTENNAS
Cognitive radio requires 2 antennas :
“Sensing antenna” – wide-band antenna which continuously monitors the
frequency spectrum for activity
“Reconfigurable antenna” – narrow-band antenna which dynamically tune to a
specific range within the frequency spectrum to perform data transfer.
Logic Flow Cycle:
1. Sense -> Sensing antenna
2. Analyze
3. Decide
4. Tune in -> Reconfigurable antenna
Source: Implementation of a Cognitive Radio Front-End Using Optically Reconfigurable Antennas - Y. Tawk,
M. Al-Husseini, S. Hemmady, A. R. Albrecht, G. Balakrishnan, C. G.Christodoulou
32. METHOD OF IMPROVEMENT FOR
COGNITIVE RADIO ANTENNAS
Microstrip antennas with both the sensing and
reconfigurable antenna structure incorporated together
on the same substrate.
Substrate Patch
• Size: Relatively small in size using flat
"patch“.
• Price: Relatively easy and cheap to
fabricate (use etching and
photolithography)
• Performance
• Sensing Antenna – improve the width of
frequency spectrum sensing band
• Reconfigurable Antenna – increase the
number of selectable frequency bands
32
Grounding
33. SENSING ANTENNA –
PERFORMANCE IMPROVEMENT
Sensing Antenna design contributes to improvement in the width of
sensing frequency range.
A normal design yields sensing range of 4-9 GHz
Improved design with fractal shapes yields wider sensing range of 2–11 GHz
33
34. RECONFIGURABLE ANTENNA –
PERFORMANCE IMPROVEMENT
Number of selectable frequency bands can be increased by having more
rotatable positions 5 rotatable
2 rotatable positions positions
2 selectable frequency bands 5 selectable frequency bands 34
Source: Implementation of a Cognitive Radio Front-End Using Rotatable Controlled Reconfigurable Antennas - Y. Tawk, Student Member,
IEEE, J. Costantine, Member, IEEE, K. Avery, Member, IEEE, and C. G. Christodoulou, Fellow Member, IEEE
A New Reconfigurable Antenna Design for Cognitive Radio - Y. Tawk, and C. G. Christodoulou, Member, IEEE
35. RECONFIGURABLE ANTENNA –
PERFORMANCE IMPROVEMENT
Number of selectable frequency bands can be increased by having more
control switches
2 switches 3 switches
3 selectable frequency bands
8 selectable frequency bands
Source: Implementation of a Cognitive Radio Front-End Using Optically Reconfigurable Antennas - Y. Tawk1, M. Al-Husseini3, S.
Hemmady1, A. R. Albrecht2, G. Balakrishnan2, C. G. Christodoulou1
36. POTENTIAL FOR IMPROVEMENT OF COGNITIVE RADIO
Integrated Circuits
Reduction in scale of transistors increases speed, reduces cost & size of
Cognitive Radio systems.
Antennas
Improvements in antennas enable Cognitive Radio systems to monitor and utilise
wider spectrum range.
Sensing Antenna
Width of sensing frequency range can be further improved with better design.
Reconfigurable Antenna
Number of selectable frequency bands can be further increased by having
more rotatable positions or/and control switches.
36
37. HOWEVER... HERE ARE SOME POTENTIAL LIMITS
Integrated Circuits processor performance improvement may be unable
to keep up with the algorithmic complexity required for Cognitive Radio
to utilize very high frequency spectrum.
Improvements are limited by Shannon‟s Law: C=B*log(1+S/N)
C = information capacity; B = bandwidth; S = signal power; N = noise
To modulate at frequency of 1024 Hz, the Cognitive Radio systems have to sample the
waveform at twice that rate and the ICs to perform this won‟t be available for 100 years.
Performance of CR driven by
Moore‟s Law (Improvements in
IC)
BUT
impeded by Shannon‟s Law
(error free wireless transmission)
37
Source: Silicon Architectures for Wireless Systems Jan M. Rabaey BWRC University of California @ Berkeley Wireless Research Center
39. CRITERIA FOR CR OPPORTUNITY GENERATION
To make
Industry Abilities to decisions Worldwide
Wide interpret data • context; goals; Regulators
Support as constraints Intervention
knowledge
CR Enabled
Develop
new Capabilities
Meeting the conclusions Resolve to all
threshold for from these Challenges for
Performance, experiences
implementation
Size, & Price
Enable New Wireless Applications 39
Opportunities
40. THE CHALLENGES FOR CR
• Major revamp in
network
Regulators • Major policy change for
Spectrum Management
infrastructure due to Network
change in operating
models
• No defined international • Inertia for adoption
standards for
Standard interworking and co- • Network Customer
existence Externalities Effect
• Larger extent of
• Size, weight, and
Security exposure of spectrum
cost Device
to potential hacking 40
41. CR STAKEHOLDERS
Software
Software Application
Testing Developers
Laboratory
Distributors Material
Providers
Equipment
Manufacturers
Material
Security Chipset Science R&D
Application Manufacturer Firm
Developers Wireless
Services
Providers
Semi-
conductor
Electronics
Content Firm
Application Manufacturer
Providers Many
Developers
More ... 41
42. OPPORTUNITIES AT A GLANCE
Technology
Enabler
Operators and
TV White Manufacturers CPC
Space
Sensor Nomadic Consumers
Network Broadband
Enabled CR Service
Cognitive Seamless Resilient
Pilot Ambient
Ubiquitous Mobility Emergency
Channel Technology
Radio Access Experience Services
Manager
42
Nolan, K. E. and Ambrose, E. and Doyle, L. E. and O'Mahony, D. 'Cognitive radio: value creation and value migration' in Proceedings of the Software-Defined
Radio Technical Conference and Product Exposition (SDR Forum 2006), Orlando, Florida, USA, 13-17 November 2006.
Markku Lähteenoja and Pål Grønsund, “Business case proposal for a Cognitive Radio Network based on Wireless Sensor Network”, Telenor ASA
43. NEW MARKET SEGMENT
Smart Home
Consumer Applications
Enterprise Applications
Rural Agriculture
CR
Peer-to-Peer Gaming
43
44. CONCLUSIONS
Today‟s spectrum management is still based on the same principles as set
out at the time of the crystal radio. This results in highly ineffective use
of spectrum.
Cognitive Radio systems offer a huge potential to increase
spectrum efficiency.
In our study, we looked at the possible geometric
scaling effects and
the threshold of both hardware and software of CR, and also the
opportunities of CR becoming the next disruptive technology in spectrum
management.
A market based approach can be a good addition to reach the goal of more
efficient spectrum usage. This means access to spectrum is based 44
on actual market demand
47. MOBILE COMMUNICATION 101
Cell size vs Spectrum vs Mobile coverage
possible radio coverage of the cell
idealized shape of the cell
cell
use of several carrier hexagonal shape of cells is
frequencies idealized (cells overlap,
shapes depend on
not the same frequency in
geography)
adjoining cells
if a mobile user changes cells
cell sizes vary from some 100
handover of the
m up to 35 km depending on
connection to the neighbor
user density, geography, 47
cell
transceiver power etc.
48. COGNITIVE RADIO TECHNOLOGY 101
Under the current radio frequency paradigm model, it is very difficult to
make the unused spectrum available.
What is required is a dynamic spectrum management model
Cognitive Radio, as a technology, is a tool to realize this goal
Cognitive radio, a special class of software
defined radio‟s, defies this principle as a
cognitive radio monitors the use of the spectrum
and selects an unused part for its transmission.
This capability provides a new solution in 48
addressing the issue of spectrum scarcity.
49. MORE INFORMATION ON COGNITIVE RADIO
The term Cognitive Radio was first suggested by Mitola
in 1999.
He defines CR as a radio driven by a large store of a
prior knowledge, searching out by reasoning ways to
deliver the service the users want.
The Cognitive Radio is reconfigurable and built on the software-
defined radio (SDR).
They are controlled by powerful microprocessors which have been
programmed to analyze a number of the radio channel parameters.
The key feature of a Cognitive Radio is its ability to recognize the
unused parts of spectrum that is licensed to a primary user and
adapt its communication strategy to use these parts while
minimizing the interference that it generates to the primary user.
49
50. COGNITIVE RADIO “SIMPLY”
It knows where it is
Itknows what services are
available, for example, it can
identify then use empty
spectrum to communicate
more efficiently
It knows what services
interest the user, and knows
how to find them
It knows the current degree
of needs and future
likelihood of needs of its user
Learns and recognizes
usage patterns from the user
50
51. THEN WHAT ARE SDRS?
Allows the adoption of new
communication technologies by means
of simple software upgrades, rather
than replacing expensive hardware.
Reduces the cost of upgrading and
allows immediate compatibility to be
achieved among devices used by
different agencies and organizations.
This has the possibility of more flexibly Software
managing spectrum by time, frequency, Defined
Radio
space, power and coding of the
transmitted wave form.
Cognitive
Radio
Cognitive radio is a subset Whitespace
51
of SDRs Technology
52. GROWING INTEREST IN COGNITIVE RADIO
Statistics of Google search
engine responses for CR
(Cognitive Radio), DSA
(Dynamic Spectrum Access)
and OSA (Opportunistic
Spectrum Access) phrases
in terms of number of www
pages found
52
53. COGNITIVE RADIO COMPONENTS
Hardware Software
Antenna
Tuning Unit Software
(ATU) Modules
Impedance Synthesizer Wideband Frequency Sensing
RF Power Sensor & Detector Self-configuration
Analog-Digital Converter (ADC) Policy and configuration databases
Antenna Control Unit (ACU) Mission-oriented configuration
Adaptive algorithms
Distributed collaboration
53
Security for dynamic application
54. CHALLENGES – HW DEVELOPMENT
Key Components Main Objectives Challenges
To provide a complex-conjugate matching capability for a
Impedance Synthesizer wide range of antenna impedances
To convert the analog signal to a digital signal with high
Analog-to-digital sampling rate and resolution with large dynamic range
converter (ADC) for use in the ACU
To reconfigure the antenna and impedance synthesizer
such that the matching state is optimum by generating
Antenna-Control Unit the required switch control signals by using high speed
(ACU) processor
The prominent feature of the ATU is an automatic feedback tuning
system with a digital control circuitry to maintain an optimum antenna
matching condition.
•Efficient RF hardware re-configurability 54
•Efficient control of RF hardware with a short detection time.
55. CHALLENGES – SW COMPLEXITY
Measuring which frequencies are used, estimating the
Wideband Frequency
location of transmitters and receivers, and determining signal
Sensing modulation.
Determine which frequencies can be used in which locations
Policy and configuration
and to constrain the operation of the radio to stay within
databases regulatory or physical limits.
Each module should be self-describing and the radio should
Self-configuration automatically configure itself for operation from the available
modules.
Mission-oriented Meet a wide set of operational requirements such as
operation within buildings, operation over long distances, and
configuration
operation while moving at high speed.
Able to sense its environment, adhering to policy and
Adaptive algorithms configuration constraints, and negotiating with peers to best
utilize the radio spectrum.
Able to exchange current information on their local
Distributed collaboration environment between themselves on a regular basis.
Authenticate, authorize and protect information flows of 55
Security participants.
56. CHALLENGES – IMPLEMENTATION
COMPLEXITY
Current implementation stage is the designers are able
to address the CR software in FPGA chip:
Processor Subsystem:
-Execute software runtime system
-Execute low intensity computations
-Processed on software level
Customizable Processor Subsystem:
-Execute high intensity computations
-Need to be reconfigured at run-time
-Processed on hardware level
Future challenge: to improve its level of automation and
produce low cost device is it possible?
56
57. OUR FOCUS ON HW ANALYSIS
Embedded Device Characteristic
Application Does not versatile
Customized for a particular use,
Specific enough, and can only be
ASIC rather than intended for
used to create single-
Integrated general-purpose use.
Circuit purpose devices
Application Does not versatile
Specific Implements a specific function enough, and can only be
ASSP (off-the-shelf components) used to create single-
Standard
Products purpose devices
Electronic component used to Physically big, slow,
Programmable power hungry, and
PLD build reconfigurable digital
Logic Device circuits expensive to be
implemented for complex
functions
Integrated circuit designed to be
Field Allow flexibility in
configured by the customer or
FGPA Programmable designer after manufacturing
complex design 57
Gate Array compares to PLD
(field-programmable)
58. KEY CHALLENGE – MAJOR
POLICY CHANGE Government
Policies
•Implementation
Complexity
•Mismatch with Speed of
existing regulations Adoption
Improve
overall
•Inertia for adoption available
network and
•Control and spectrum
management capacity
difficulty
58
60. TV WHITE SPACE TECHNOLOGY
TV bands are sparsely used today and are
very suitable for long range, low power
wireless networks
White space uses CR to utilise the scarce
spectrum
60
Carlos Cordeiro, “Cognitive Radios: Present and Future Directions”, Wireless Communications and Networking (WiCAN),
Philips Research North America, 2006
61. NORMADIC BROADBAND SERVICE
Sensor Network aided Cognitive Radio Services
3 Components
Sensing architecture
Communication
architecture
Fusion centre
Business Model
Rent spectrum usage
from existing provider,
utilise “available”
spectrum
Provide
complementary
services
Markku Lähteenoja and Pål Grønsund, “Business case proposal for a Cognitive Radio Network based on Wireless Sensor
Network”, Telenor ASA
63. RESILIENT COMMUNICATION INFRASTRUCTURE
During emergencies or when part of communications
infrastructure is damage, CR‟s self-configuring, ad-hoc
mesh wireless networks avoid disruption or failure by re-
routing around node failures or congestion areas, thereby
enabling more robust and reliable communications.
64. MARKET SEGMENT - RURAL
Use of lower frequency range significantly improves the coverage. This reduces
the cost of communications in the less densely populated, underserved, remote,
and rural areas.
Telemedicine
Market in Brazil,
Russia, India,
China (BRIC) is
expected to reach
$418.4 million by
2014
Agri-sensors deploy out in the farm to
measure data (humidity, soil moisture, air &
soil temperature, wind speed, rainfall ) and
Telemedicine devices transfer medical info of
then transmit data for diagnose and
rural patients - data, images and live audio
alert/advice farmers on action to take.
and video feeds to urban doctors to offer
medical and treatment advice.