End-to-end Cognitive Radio Testbed (EECRT ) Cognitive Radio Testbed (EECRT ) Kalle Ruttik Department...
Transcript of End-to-end Cognitive Radio Testbed (EECRT ) Cognitive Radio Testbed (EECRT ) Kalle Ruttik Department...
End-to-end Cognitive Radio Testbed
(EECRT )
Kalle Ruttik
Department of Communications and Networking
Aalto University School of Electrical Engineering
Project goals
The goal of the project is to create a living lab cognitive
radio test-bed. Building and experimenting with the test-
bed will create new scientific and engineering
understanding on the interplay of the technical and
economic boundary constraints on the design and
regulation of future cognitive radio systems operating on
new bands, primarily in the present TV-spectrum.
Summary
• Study of the technical and economical control interfaces
between players
• User plane: end-to-end cognitive connectivity
– Cognitive radio access
– Cognitive transport
• Control plane:
– Radio resource control in a network of cognitive radios
– Interference management
Existing Cellular infrastructure
Existing Wi-Fi infrastructure
EECRT cognitive radio network
EECRT
radio
TXRX
EECRT
radio
TXRX
Data inData out
EECRT
end2end
cognitive
transport
EECRT
end2end
cognitive
transport
EECRT CR
cognitive
resource
manager
EECRT end2end
cognitive
resource manager
Spectrum
managerRegulatory
framework
EECRT cognitive radio platform
Interface to
Spectrum managing
database
Data
user
Interface to
Spectrum Users
User with
test cases
Interface to
EECRT platform user
WP 1 Techno-economics
WP1: Techno-economics –
Results from first phase
• Relationship and evolution of technical and business
architectures of CR systems were examined
• Main theme areas
– Evolution paths towards CR (different markets, 3GPP vs. IEEE)
– Value network orchestration for CR
– Spectrum market design and evaluation
• Work resulted in several publications in respected
conferences and journals (see separate list)
• Example: Market mechanism design and evaluation with
agent based modeling
Value Network design of a Market Mechanism
Mobile Operator (MO)
Mobile Broadband service
Wide Area Network
Local Area Operator (LAO)
Wi-Fi service (ISM or
TVWS band)
Local Area Network
Spectrum Exchange
Trade Facilitation service
Spectrum Database
TV Broadcaster (TVB)
DTV Service
Broadcast Network
Offer to buy
capacity
Brokerage Fee
payment
Offer to lease
capacity
Brokerage Fee
payment
Interworking
architecture b/w
3GPP and WLAN
Leased capacity
payment
Time-limited
capacity lease
agreement
Da
ta
su
bsc
rip
tio
n
SD
R
tech
no
log
y
Generic protocol to
access databaseGeneric protocol to
access database
Revenue sharing
mechanism
Generic protocol to
access database
MO Subscriber
Mobile internet
consumption
Multiple RAT
Terminal
Case2: Super Wi-Fi Capacity
Market
Venue Owner
LA Access
Account Operation
Authentication,
Authorization and
Accounting
Fixed Internet
Access Operation
Service Application
Provisioning
Service Application
WA Network
Operation
Wide Area Network
LA Network
Operation
Usage
Device
LA Venue
Ownership
Fixed Access Network
Local Area AP
Building space
End-user
Broadband Access OperatorService Provider
Mobile Operator
Technical Interface
Business Interface
Role
Technical
Component
Actor
A. Taparia, T. R. Casey and H. Hämmäinen, ”Towards a Market Mechanism
for Heterogeneous Secondary Spectrum Usage: An Evolutionary
Approach”, in the 6th DySPAN, Washington, USA, October 2012
Agent based
model of the
market
mechanism
-1000
-500
0
500
1000
1500
Euro
s/d
ayLease time (in seconds)
Wi-Fi capacity market: Analysis for (10x90) LAO config.
Mobile Operators
Wi-Fi Local AreaOperators
Capacity Broker
Spectrum Exchange
-4000
-3000
-2000
-1000
0
1000
2000
3000
Euro
s/d
ay
Lease time (in seconds)
Super Wi-Fi capacity market: Analysis for (10x90) LAO config.
Mobile Operators
Super Wi-Fi LocalArea Operators
Capacity Broker
TV Broadcasters
Spectrum Exchange
‘win-win’ scenario
‘win-win’ scenario
A. Taparia, T. R. Casey and H. Hämmäinen, ”Towards a Market Mechanism
for Heterogeneous Secondary Spectrum Usage: An Evolutionary
Approach”, in the 6th DySPAN, Washington, USA, October 2012
Trade-Off
Length of lease time
Trading Activity
Trade Facilitation
Cost
Observed trade-off in spectrum leasing time cycles:
• Long cycle → wide-area mobile operators benefit more
• Short cycle → smaller operators and spectrum broker
benefit more
→ Optimal “win-win” scenario somewhere in between
WP1: Techno-economics –
Themes for second phase of the project
• Task 1.1: CR regulatory framework and value systemsa. Analyzing the benefits and costs of spectrum transactions in
different spectrum regimes.
b. Formulation of a regulatory framework enabling the cooperation between different industry players.
c. Analysis of the market structure and spectrum policy of different markets
d. Analysis of time and spatial demand and its implications for the value of cognitive radio.
e. Explore regulatory issues related to main architectural decisions in cognitive radio development
• Task 1.2: Mobile operator strategies for CRa. Analysis of mobile operator strategies for exploiting CRb. Economic viability of CR radio access network deployments
examined using Techno-economic modeling (investment analysis)
c. The relationship among mobile operators and their optimal strategy are identified using game theory
List of publications• Evolution paths towards CR
– T. Ali-Vehmas and T. R. Casey, ”Evolution of wireless access provisioning: A systems thinking approach”,
Competition and Regulation in Network Industries, Vol. 13, No. 4, pp. 333-361, December 2012
– T. R. Casey and T. Ali-Vehmas, “Value system evolution towards a cognitive radio era: Implications of
underlying market dynamics”, In the 6th DySPAN, October 2012
– V. Sridhar, T. Casey and H. Hämmäinen, “Flexible Spectrum Management for Mobile Broadband Services: How
does it vary across Advanced and Emerging Markets?”, Telecommunications Policy, in press (impact factor: 1.539)
– A. Basaure, T. R. Casey and H. Hämmäinen, “Different regulation paths towards cognitive radio technologies:
Cases of Finland and Chile”, In European Regional ITS Conference, July 2012
• Value network orchestration for CR
– T. R. Casey and J. Töyli, ”Dynamics of Two-Sided Platform Success and Failure: An Analysis of Public Wireless
Local Area Access”, Technovation - The International Journal of Technological Innovation, Entrepreneurship and
Technology Management, in press (impact factor: 3.287)
– J. Markendahl and T. R. Casey, “Business opportunities using white space spectrum and cognitive radio for
mobile broadband services”, in Proceedings of the 7th International Conference on Cognitive Radio Oriented
Wireless Networks, June 2012
– A. Taparia, A. Basaure, T. R. Casey, “Value Network Orchestration of a Cognitive Radio Platform”, in ITS 19th
Biennial Conference, November 2012
• Spectrum market design and evaluation
– A. Taparia, T. R. Casey and H. Hämmäinen, ”Towards a Market Mechanism for Heterogeneous Secondary
Spectrum Usage: An Evolutionary Approach”, In the 6th DySPAN, October 2012
– A. Taparia, “A Market Mechanism for Heterogeneous Secondary Spectrum Usage: An Evolutionary Approach”,
Master’s Thesis
WP 2Cognitive transport
Engineering
• Multipath setup
– Using several mobile networks at once
– Possibility to choose which to use
• Path choosing decision
– Analysis of different algorithms
– Gathered data
• Mobile network coverage (different operators)
– Bandwidth measurements
– Extensive network information
• Last months
– Deployability
Path choosing decision
• Context based decision logic– Mobile phone's network information not enough
– Analyzation of data• Network information
• Bandwidth measurements
→ Cannot deduce connection quality
• Location based decision logic– Measurements correlate when less than 500m
apart– Accuracy limits to 200m (GPS or network
positioning)
[1] “Mobile Network Measurements – It's not all about Signal Strength”,
S. Sonntag, L. Schulte, J. Manner, WCNC'13
WP 3 – 4Cognitive radio algorithms
Cognitive radio implementation
CR algorithms
• Radio transmission in TV white/black space– Y. Beyene “TV Black-space Spectrum Access for Wireless Local Area and
Cellular Networks”, master thesis, Aalto.
• Performance study of overlay transmission on TV signal
Y. Beyenne, K. Ruttik, R. Jäntti, “Effect of Secondary transmission on Primary Pilot Carriers in Overlay Cognitive Radios”, submitted to CrowCom 2013.
– H. Tewodros, “Testing a Simple Algorithm for LTE Synchronization and Cell Search”, master thesis, Aalto.
• Study of the impact of delay on overlay transmission
• Synchronization schemes for cognitive BS
K.G. Vishnu, “Network Time Synchronization in Time Division - LTE systems”, diploma thesis Feb.2013.
• Implementation of the time synchronization in TDD network
• MIMO transmission in USRP platform
G.C. Moreno, “Communication over USRP by using multiple antennas”
Designed cognitive radio network
• Network of 24 USRP units
– RF: 0.4 – 4.4 GHz
– Baseband: 10 MHz
– Tx power: 100 mW
• Each unit can operate either as BS or UE
• Software radio implemented as a C++ program in PC
• RRM implemented as a Python program
• License for frequency band 620 - 650
– 3 transmitters on the roof of Otakaari 5 building
Transceiver
Tx software
Running PC
USRP
Rx software
Running in PC
USRP
Air interfaceTransmitter Receiver
EECRT CR network architecture
UE UE
N-RRM
BSL-RRM TxRx
BSL-RRM TxRx
Test
Control
support
Test-bed
Network
EECRT network
Test that can be : EECRT2
• M2M communication by using EECRT radios
• Transmission in TV guard bands
– TV synchronized secondary user signal transmission
• RRM management algorithms for inside network
• Co-primary operation in TDD network
– Interference aspects among networks using different UL/DL
TDD frame configurations
• Network controlled D2D communication
Co-operation with other projects:
• COST-TERRA• Researcher exchange
• Cooperation with CORE project
• WISE project• Presentation on WISE workshop
• Development of the interface towards Fairspectrum DB
• In the scope of EIT MMSL• Co-operation with Stockholm node
• Researcher exchange
• Aalborg university• Researcher exchange
• NOKIA cognitive radio CE-CSP/CM project