Crsm 6 Crsm 2009 Filip Louagie The Flemish Cognitive Radio Research Cluster


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Crsm 6 Crsm 2009 Filip Louagie The Flemish Cognitive Radio Research Cluster

  1. 1. Copyright IMEC The Flemish Cognitive Radio Research Cluster Filip Louagie on behalf of IBCN-Ghent, SMIT-Brussels, PATS-Antwerp and IMEC-Leuven Wireless, wireless is everywhere … 1995 2000 2005 2010 High 3GPP 3.5G speed 3G LTE 2G digital ed s pe igh- 802.16e s h cess 802.16m tou qui ata ac of Medium v oi ce Ubi d net speed ter gs In hin 1G t analog WiMAX 802.11n Low 802.11b 802.11g speed HDR 60GHz Bluetooth WPAN WPAN 10 kbps 100 kbps 1 Mbps 10 Mbps 100 Mbps 1 Gbps Louagie Filip IMEC 2009 2 1
  2. 2. Copyright IMEC The wireless capacity has doubled every 30 months over the last 104 years Factor 1.000.000 since 1957: • Faster with better modulation schemes: 5X • Wider because of more bandwidth: 25X • Distributed because of smaller cells: 1600X Louagie Filip IMEC 2009 3 Frequency spectrum is very crowded but moving out of the band is an option [Wil05 Louagie Filip IMEC 2009 4 2
  3. 3. Copyright IMEC Sharing of a shared resource: tragedy of the commons Additional rules and agreements needed to achieve efficient spectrum sharing Louagie Filip IMEC 2009 5 A heterogeneous network environment needs intelligent radio’s and new network protocols Symbiotic merging – distributed network discovery (broadcast channel or sensing) – network binding • negotiation of cooperative network parameters (temporary common communication channel) • Monitoring of cooperation: sensing Louagie Filip IMEC 2009 6 3
  4. 4. Copyright IMEC Louagie Filip 7 IMEC 2009 7 Louagie Filip 8 IMEC 2009 8 4
  5. 5. Copyright IMEC Louagie Filip 9 IMEC 2009 9 Louagie Filip 10 IMEC 2009 10 5
  6. 6. Copyright IMEC Louagie Filip 11 IMEC 2009 11 Louagie Filip 12 IMEC 2009 12 6
  7. 7. Copyright IMEC University Gent (IBCN) and University Antwerp (PATS) develop protocols for Symbiotic Networks • Definition – Symbiotic networks are independent co-located homogeneous & heterogeneous, wired & wireless networks that cooperate across all layers and across network boundaries through advanced sharing of information, infrastructure and (networking) services – Symbiotic network solutions pave the way to cross-network optimization, leading to • more efficient use of scarce spectrum • more efficient energy consumption • lower radio emissions (green radio) • better QoS guarantees • improved scalability • new & advanced cross-network services Network A • Concept for symbiotic networking establishment I want to share my nodes for Network A 1. Creating profile routing I am network A I am currently operating at channel 2. Distributed network discovery x routing cost is X My I have symbiotic network 3. Negotiation capabilities. • Setting up negotiation channel You can contact me at channel x Let’s agree on • Negotiation on cross-network channel z and communication parameters joint routing • Negotiation on incentives for cooperation 4. Incentive-driven cooperative networking Network A 5. Sharing of services Network B Network B II am currently operating at for want to share my nodes channel yrouting My routing cost is Y Louagie Filip IMEC 2009 13 Wireless wireless everywhere … and the radio starts to think • Step 1: Distributed Coexistence of Heterogeneous Networks – Heterogeneous networks awareness through spectrum sensing – Adaptation to minimize harmful interference based on sensing • Step 2: Cooperative (Coexistence of) Heterogeneous Networks – Communication with heterogeneous networks through SDR – Adaptation to minimize interference based on agreements • Step 3: Collaborative Heterogeneous Networks – Awareness through spectrum sensing – Optimal collaboration to improve user QoS given the spectral (and energy) resource constraints. Louagie Filip IMEC 2009 14 7
  8. 8. Copyright IMEC Step 1: Distributed Coexistence of Heterogeneous Networks • Focus on spectrum sensing functionality for the terminal, demonstrated on IMEC’s reconfigurable analog FE - Signal Knowledge + Square-Law (Energy) Autocorrelation Correlation LO DIST LNA PLL 1 D Q MIX Rx LPF VGA M Time Frequency Time Frequency Time Frequency Rx LPF VGA Energy Welch Preamble Tx LPF D Q Detector Periodogram Preamble MIX NOC M Autocorrelation Cyclostationarity Spectral Tx LPF Power Correlation LO DIST Wavelet-based Feature Detect Correlation Detector Eigenvalue Based PPA Detection PLL 2 Sensing Pilot Carrier Pilot Energy Covariance Based Correlation Detection Sensing Pilot Energy Multi-Resolution Position Antenna Sensing Correlation Antenna Energy Combining Louagie Filip IMEC 2009 15 Step 2: Cooperative (Coexistence of) Heterogeneous Networks • Software Defined Radio (SDR) technology to enable communication between heterogeneous terminals/networks Platform (ADC) ctrl (ARM) Reconf AFE Baseband Scaldio signal path DFE tile SyncPro BB engine engine BW optimized Baseband Scaldio DFE tile SyncPro scalable BB engine engine interconnect Scaldio DFE tile SyncPro FEC engine Shared Front-end Periph components L2 and HI (BEAR ‘Baseband Engine for Adaptive Radio’) Louagie Filip IMEC 2009 16 8
  9. 9. Copyright IMEC Step 3: Collaborative Heterogeneous Networks • Focus on integrated sensing solution, for a range of scenarios Scenarios Concrete sensing focus summary Heterogeneous load 802.11a/ local database of Energy Detection Autocorrelation sharing b/g/n + channel use (heter) Correlation FFT/Filterbank LTE + heterog LBS AGC Spectrum Infrastructure-based LTE + Infrastructure- Flexible FIR Halfband filter sharing load sharing 802.16m assisted database filter distributed self 802.11b/ Heterog. LBS + 2 management g+ local database of Re-sampler/ 802.15.4 other channels (Multi-band) Sensing interpolator Spectrum upgrade of licensed TV white Very low SNR – Synchronization upgrade spectrum spaces protect incumbent upgrade of unlicensed 802.11a+ Variable BW LBS – RX buffer spectrum 802.11n unknown BW Rx Louagie Filip IMEC 2009 17 University Brussels (SMIT) looks into Business models and regulation • Business model analysis – Construction, modeling and validation of use cases and scenarios for Cognitive Radio – Scenarios both technical and user oriented • User oriented: focus on user value in diverse set of everyday life situations (performed within E2RII project) • Technical: focus on flexible spectrum management, dynamic spectrum allocation, autonomic functionalities and Cognitive Enablers (e.g. the Cognitive Pilot Channel – performed within E3 project) – Contribution to the formation of business model ontology for Cognitive Radio Systems, i.e. the Unified Business Model (UBM) – Qualitative Sensitivity Analysis for specific use cases – Projected future activities: CR cost and market structure analysis, increased focus on sensing functionalities, application to a Flemish context Surname + Name Louagie Filip IMEC confidential 2009 IMEC 18 9
  10. 10. Copyright IMEC University Brussels (SMIT) looks into Business models and regulation • Study of spectrum policy and regulation – Potential business impact of new spectrum policy paradigms enabled by or enabling CR: spectrum trading, spectrum leasing, secondary use, unlicensed use etc. – Introduction of cognitive radio in specific cases, e.g. TV White Spaces • Study of CR standardization – Impact of design choices in standardization on market structure for CR technologies – Potential impact of multi-layered standardization processes • iLab.o – Lab for open innovation in ICT – Organising and facilitating policy and industry workshops and brainstorms Surname + Name Louagie Filip IMEC confidential 2009 IMEC 19 Louagie Filip IMEC 2009 20 10